SlideShare una empresa de Scribd logo
1 de 27
Descargar para leer sin conexión
How to radically simplify your business data management
Copyright    © Clusterpoint  2015
Gints Ernestsons, founder
All-in-one platform: DBMS, SEARCH, one API and one COST
Document database with
JavaScript/SQL + high
performance transactions
Search platform with data
relevance ranking, including
full-text & geospatial data
High-availability
distributed computing
Real-time online web
and mobile analytics
Patent filed, US
ACID
Ordinary database software requires tons of your efforts
Your coporate business data management
The main problem is excessive fragmentation of data storage
Relational databases were designed for tabular data storage model.
It requires complex software: schemas, encoded data, inflexible
relations, sophisticated indexes. Complexity of your IT systems
increases over your database life-time many-fold. Your costs too.
FRAGMENTED SOFTWARE
Excessive fragmentation of software systems kills productivity
Bad performance No easy scalability
TCO sky-rocket
Your IT operations suffer productivity loss and high costs
• proliferation of multiple software platforms and tools
• excessive efforts to write integration code among platforms
• extra costs to make bug-free changes in complex software
• degrading performance in your growing data volumes
• painful dependency on ex-employees made “spaghetti” code
• high cost of new software development for aging old databases
• escalating costs to update legacy systems for web computing
• missed software development dead-lines
Your business pains from your software age and complexity
• slow, frustrating performance of your web and mobile applications
• each extra 1 second waiting time causes 7% web customers leaving
• proliferation of your data copies across multiple costly systems
• weakened, more easily breakable your corporate data security
• long time-to-market for your new software products and services
• lost revenue due to poor or mediocre customer satisfaction
• overexpensive TCO for your IT systems that uses legacy databases
• decreased or lost profitability of your business
Is there a solution for complexity problems in your IT system?
OPEX, TCO
Your database life-cycle
Save > 80%
Welcome to the 21st century document-database software!
Formalized knowledge of humanity is stored in documents
Text, formulas, tables and images organized into documents
About
5000
years
ago
Sumerian
script
(pre-
cursor of
docu-
ment)
Material document format lives for many thousands of years
letters  -­ books    -­ comics  and  images    -­ maps    -­
product  catalogs  -­ theater  scripts    -­ music  notes    
-­ math  diagrams  with  tables  and  formulas  -­
research  notes  – analytical  charts  – newspapers  
– magazines  – advertisements
Nearly all your business information lives in documents too
Document data format ideally organizes human knowledge
v Scales to big volumes (think – ancient libraries)
v Replicates into many copies (think – old printing press)
v Can service great masses of people (industries, nations, cultures)
v Unifies structured and unstructured data (linked data value)
v Has elastic content flexibility for future changes (agility)
v Can be distributed through networks (trade, business)
v Enables disassembling into smaller fragments (modularity)
v Maintains knowledge long-term (age of the language)
v Is being favored by software programmers (objects in OOP)
v Can be easily re-used by humans and machines (portability)
What is going to happen in the 21st century computing?
Relational databases are
going to die in pain!
Locked into tables? Welcome back to the document model!
WWW.
The globe-spanning
document store model
efficiently operates the
Web data since 1995!
Clusterpoint database was
engineered following the same
distributed computing principles
for machine-readable documents
( XML, JSON, HTML, TEXT data )
HTML
Where Clusterpoint distributed database technology stands
Scalable full-text search
platforms with ranking
Google search
Microsoft Fast Search
Clusterpoint converges future software technologies together
Distributed
computing
architecture
Document
database
model
Ultra fast web-style search with relevancy
ranking
Clusterpoint software has 4 unique competitive advantages:
1. Bulletproof ACID-compliant transactions in distributed databases
2. Built-in scalable enterprise search with tunable relevance ranking
3. Unlimited extendability of API through JavaScript/SQL query language
Think: high-performance NOSQL with rock-solid reliability of SQL RDBMS
Think: Google search or Microsoft Fast Search technology for your data
A query language your IT people never heard of, but they already know
4. Distributed computing engine without complexity of map/reduce API
Run your Big data tasks across many commodity servers in JS/SQL
Our platform simplifies your business information management
All key features of modern data management are included into
a single cloud-like infrastructure software platform (C/C++)
Removes
complexity
from your
legacy IT
systems
Saves
your costs
of doing
online
business
No systems integration requiredCustom “stitching” all platforms
Kill complexity! Boost performance! Nail search! Cut your cost!
DBMS w ACID-
transactions
ONE  
API
Cut 80% off your TCO
Up to 1000x faster
High availability
shards, replicas
Online analytics
platform
Search platform,
full-text index
Tons of your integration efforts
and application “spaghetti” code
Budget	
  for	
  100-­‐users	
  company,	
  in	
  $ Commercial	
  
RDBMS	
  +	
  SEARCH
Open	
  source	
  
RDBMS	
  +	
  SEARCH
Clusterpoint	
  
database
DBMS	
  software	
  license (enterprise	
  edition) 14	
  000	
   0 0
DBMS	
  software	
  maintenance	
  (3	
  years) 20%	
  /	
  3	
  x	
  2800	
   DIY	
  /	
  0 3	
  x	
  7200
SEARCH	
  software	
  platform	
  (ESS)	
  license 10	
  000 0 0
SEARCH	
  software	
  maintenance	
  fee	
  (3	
  year) 20%	
  /	
  3	
  x	
  2	
  000 DIY	
  /	
  0 0
DBMS	
  client	
  software	
  access	
  licenses	
  (100	
  
users)
10	
  000 0 0
DBMS	
  +	
  SEARCH	
  integration	
  through	
  custom	
  
application	
  software	
  code	
  (developer	
  months)
3m	
  /	
  15	
  000 6m	
  /	
  30	
  000 1m	
  /	
  5000
DBMS	
  high-­‐availability	
  clustering	
  option	
  or
custom	
  HA	
  integration	
  (developer	
  months)
2m	
  /	
  10	
  000 4m	
  /	
  20	
  000 0
Operate	
  &	
  scale	
  integrated	
  DBMS	
  +	
  SEARCH	
  +	
  
custom	
  spaghetti-­‐code	
  (developer	
  months)
9m	
  /	
  45	
  000 18m	
  /	
  90	
  000 0
Your	
  TCO	
  over	
  3-­‐years	
  life-­‐span,	
  in	
  $: 118	
  400 140	
  000 26	
  600
Single	
  DBMS	
  and	
  SEARCH	
  platform	
  decreases	
  your	
  TCO	
  by	
  80%
Constant and predictable query latency enables real-time Big Data search and analytics
PB
GB
TB
MB
Milliseconds for a
Clusterpoint query
Minutes ... hours
for a SQL query
Scale to billions of your documents enjoying low latency queries
RANKING
INDEX XML
JSON
1.5 sec SQL query in
RDBMS
CLUSTERPOINT query
Your annual cost of 100 employees each doing
100 slow queries daily is above $ 28 000
Cut off 1.35 sec
from each query
Literally accelerate your business with lightning-fast searches
0.15 sec
$31.32 per hour for total employee compensation, U.S.Bureau of Labor Statistics, 2015
Accelerate your 1000 employees and save $ 250 000
Accelerate your 10000 employees and save $ 2.5 million
Accelerate your 100 employees and save $ 25 000
MySQL Multiple Bugs Let Remote Users
Access and Modify Data and Deny Service
Security Tracker, Jan 2015
Attackers targeting Elasticsearch
remote code execution hole
The Register
US Department of Homeland Security
Calls On Computer Users to Disable Java
Forbes
The Odd Couple: Hadoop
and Data Security
ZDnet
CIOs still don't care about Hadoop
data security
TechRepublic
By	
  using	
  multiple	
  platforms,	
  your	
  security	
  problems	
  are	
  snowballing
Bash bug leaves Linux
users shellshocked
WindowsSecurity
Manage all your data, indexes and replicas with solid security
Ordinary operational SQL database
Big data cluster, replicas, backup
All your mission-critical data in
one Database & Search
platform
XML
JSON
ONE API:
JS/SQL
ACID  transactions
Search and analytics data/indexes
BLOB
Develop your application software code scalable from day-one
OPEX, TCO
Database  life-­cycle
Save  >  80% WRITE	
  ONCE
and	
  decrease	
  life-­‐
time	
  cost	
  of	
  your	
  
web	
  or	
  mobile	
  
application
Test          Year  1                    Year  2                                        Year  3                                                            Year  4                                                      Year  N
replica  1
replica  2
replica  3
Why pay extra for high-end features? Use out-of-the-box!
LOAD BALANCING
FAULT-TOLERANCE HIGH-AVAILABILITY
SCALE OUT ABILITY
Start managing your own databases at the “speed of light”
Free test sign-up (no credit card): www.clusterpoint.com
Your business accelerated!

Más contenido relacionado

La actualidad más candente

Ai & Data Analytics 2018 - Azure Databricks for data scientist
Ai & Data Analytics 2018 - Azure Databricks for data scientistAi & Data Analytics 2018 - Azure Databricks for data scientist
Ai & Data Analytics 2018 - Azure Databricks for data scientistAlberto Diaz Martin
 
AWS Cloud Kata 2013 | Singapore - Getting to Scale on AWS
AWS Cloud Kata 2013 | Singapore - Getting to Scale on AWSAWS Cloud Kata 2013 | Singapore - Getting to Scale on AWS
AWS Cloud Kata 2013 | Singapore - Getting to Scale on AWSAmazon Web Services
 
Democratizing Data Science on Kubernetes
Democratizing Data Science on Kubernetes Democratizing Data Science on Kubernetes
Democratizing Data Science on Kubernetes John Archer
 
Power BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data SolutionsPower BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data SolutionsJames Serra
 
Data warehouse con azure synapse analytics
Data warehouse con azure synapse analyticsData warehouse con azure synapse analytics
Data warehouse con azure synapse analyticsEduardo Castro
 
Ralph Kemperdick – IT-Tage 2015 – Microsoft Azure als Datenplattform
Ralph Kemperdick – IT-Tage 2015 – Microsoft Azure als DatenplattformRalph Kemperdick – IT-Tage 2015 – Microsoft Azure als Datenplattform
Ralph Kemperdick – IT-Tage 2015 – Microsoft Azure als DatenplattformInformatik Aktuell
 
IBM Cloud Day January 2021 Data Lake Deep Dive
IBM Cloud Day January 2021 Data Lake Deep DiveIBM Cloud Day January 2021 Data Lake Deep Dive
IBM Cloud Day January 2021 Data Lake Deep DiveTorsten Steinbach
 
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...James Serra
 
Big Data Architecture and Design Patterns
Big Data Architecture and Design PatternsBig Data Architecture and Design Patterns
Big Data Architecture and Design PatternsJohn Yeung
 
How to Architect a Serverless Cloud Data Lake for Enhanced Data Analytics
How to Architect a Serverless Cloud Data Lake for Enhanced Data AnalyticsHow to Architect a Serverless Cloud Data Lake for Enhanced Data Analytics
How to Architect a Serverless Cloud Data Lake for Enhanced Data AnalyticsInformatica
 
Analytics in a Day Virtual Workshop
Analytics in a Day Virtual WorkshopAnalytics in a Day Virtual Workshop
Analytics in a Day Virtual WorkshopCCG
 
Big Data Architecture
Big Data ArchitectureBig Data Architecture
Big Data ArchitectureGuido Schmutz
 
Big Data Analytics in the Cloud with Microsoft Azure
Big Data Analytics in the Cloud with Microsoft AzureBig Data Analytics in the Cloud with Microsoft Azure
Big Data Analytics in the Cloud with Microsoft AzureMark Kromer
 
Suburface 2021 IBM Cloud Data Lake
Suburface 2021 IBM Cloud Data LakeSuburface 2021 IBM Cloud Data Lake
Suburface 2021 IBM Cloud Data LakeTorsten Steinbach
 
Data Lake Overview
Data Lake OverviewData Lake Overview
Data Lake OverviewJames Serra
 
Modern Data Warehouse Overview
Modern Data Warehouse OverviewModern Data Warehouse Overview
Modern Data Warehouse OverviewJohn Chang
 
IBM Cloud Native Day April 2021: Serverless Data Lake
IBM Cloud Native Day April 2021: Serverless Data LakeIBM Cloud Native Day April 2021: Serverless Data Lake
IBM Cloud Native Day April 2021: Serverless Data LakeTorsten Steinbach
 
Dipping Your Toes: Azure Data Lake for DBAs
Dipping Your Toes: Azure Data Lake for DBAsDipping Your Toes: Azure Data Lake for DBAs
Dipping Your Toes: Azure Data Lake for DBAsBob Pusateri
 
Microsoft Azure Big Data Analytics
Microsoft Azure Big Data AnalyticsMicrosoft Azure Big Data Analytics
Microsoft Azure Big Data AnalyticsMark Kromer
 

La actualidad más candente (20)

Ai & Data Analytics 2018 - Azure Databricks for data scientist
Ai & Data Analytics 2018 - Azure Databricks for data scientistAi & Data Analytics 2018 - Azure Databricks for data scientist
Ai & Data Analytics 2018 - Azure Databricks for data scientist
 
AWS Cloud Kata 2013 | Singapore - Getting to Scale on AWS
AWS Cloud Kata 2013 | Singapore - Getting to Scale on AWSAWS Cloud Kata 2013 | Singapore - Getting to Scale on AWS
AWS Cloud Kata 2013 | Singapore - Getting to Scale on AWS
 
Democratizing Data Science on Kubernetes
Democratizing Data Science on Kubernetes Democratizing Data Science on Kubernetes
Democratizing Data Science on Kubernetes
 
Power BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data SolutionsPower BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data Solutions
 
Data warehouse con azure synapse analytics
Data warehouse con azure synapse analyticsData warehouse con azure synapse analytics
Data warehouse con azure synapse analytics
 
Ralph Kemperdick – IT-Tage 2015 – Microsoft Azure als Datenplattform
Ralph Kemperdick – IT-Tage 2015 – Microsoft Azure als DatenplattformRalph Kemperdick – IT-Tage 2015 – Microsoft Azure als Datenplattform
Ralph Kemperdick – IT-Tage 2015 – Microsoft Azure als Datenplattform
 
IBM Cloud Day January 2021 Data Lake Deep Dive
IBM Cloud Day January 2021 Data Lake Deep DiveIBM Cloud Day January 2021 Data Lake Deep Dive
IBM Cloud Day January 2021 Data Lake Deep Dive
 
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
 
Big Data Architecture and Design Patterns
Big Data Architecture and Design PatternsBig Data Architecture and Design Patterns
Big Data Architecture and Design Patterns
 
How to Architect a Serverless Cloud Data Lake for Enhanced Data Analytics
How to Architect a Serverless Cloud Data Lake for Enhanced Data AnalyticsHow to Architect a Serverless Cloud Data Lake for Enhanced Data Analytics
How to Architect a Serverless Cloud Data Lake for Enhanced Data Analytics
 
Analytics in a Day Virtual Workshop
Analytics in a Day Virtual WorkshopAnalytics in a Day Virtual Workshop
Analytics in a Day Virtual Workshop
 
Big Data Architecture
Big Data ArchitectureBig Data Architecture
Big Data Architecture
 
Big Data Analytics in the Cloud with Microsoft Azure
Big Data Analytics in the Cloud with Microsoft AzureBig Data Analytics in the Cloud with Microsoft Azure
Big Data Analytics in the Cloud with Microsoft Azure
 
Azure data stack_2019_08
Azure data stack_2019_08Azure data stack_2019_08
Azure data stack_2019_08
 
Suburface 2021 IBM Cloud Data Lake
Suburface 2021 IBM Cloud Data LakeSuburface 2021 IBM Cloud Data Lake
Suburface 2021 IBM Cloud Data Lake
 
Data Lake Overview
Data Lake OverviewData Lake Overview
Data Lake Overview
 
Modern Data Warehouse Overview
Modern Data Warehouse OverviewModern Data Warehouse Overview
Modern Data Warehouse Overview
 
IBM Cloud Native Day April 2021: Serverless Data Lake
IBM Cloud Native Day April 2021: Serverless Data LakeIBM Cloud Native Day April 2021: Serverless Data Lake
IBM Cloud Native Day April 2021: Serverless Data Lake
 
Dipping Your Toes: Azure Data Lake for DBAs
Dipping Your Toes: Azure Data Lake for DBAsDipping Your Toes: Azure Data Lake for DBAs
Dipping Your Toes: Azure Data Lake for DBAs
 
Microsoft Azure Big Data Analytics
Microsoft Azure Big Data AnalyticsMicrosoft Azure Big Data Analytics
Microsoft Azure Big Data Analytics
 

Destacado

History of music videos
History of music videosHistory of music videos
History of music videosniamhbarrett
 
Turning Oyster Cards into Information
Turning Oyster Cards into InformationTurning Oyster Cards into Information
Turning Oyster Cards into InformationNeal Lathia
 
무직장인대출//BU797。СΟΜ//이륜차보험 루테인일본출장
무직장인대출//BU797。СΟΜ//이륜차보험 루테인일본출장무직장인대출//BU797。СΟΜ//이륜차보험 루테인일본출장
무직장인대출//BU797。СΟΜ//이륜차보험 루테인일본출장bwetdf
 
Multi tracking
Multi trackingMulti tracking
Multi trackinghalo4robo
 
09363 (2)
09363 (2)09363 (2)
09363 (2)11mike
 
Resenha temática
Resenha temáticaResenha temática
Resenha temáticaleticiahhr
 
Ameria Group: Investor Relations Presentation Q2 2014
Ameria Group: Investor Relations Presentation Q2 2014 Ameria Group: Investor Relations Presentation Q2 2014
Ameria Group: Investor Relations Presentation Q2 2014 Ameriabank
 
la comunicacion
la comunicacionla comunicacion
la comunicacion26008733
 
issb experience of one student
issb experience of one studentissb experience of one student
issb experience of one studentOmair Ayaz
 
Final m3 online session 1 wbs3760 24.2.17
Final m3 online session 1 wbs3760 24.2.17Final m3 online session 1 wbs3760 24.2.17
Final m3 online session 1 wbs3760 24.2.17Paula Nottingham
 
Paris Redis Meetup Introduction
Paris Redis Meetup IntroductionParis Redis Meetup Introduction
Paris Redis Meetup IntroductionGregory Boissinot
 
PSYCHOLOGICAL TESTS AT ISSB
PSYCHOLOGICAL TESTS AT ISSBPSYCHOLOGICAL TESTS AT ISSB
PSYCHOLOGICAL TESTS AT ISSBOmair Ayaz
 
CSI.SP: Valuating The Informal Built Environment by Daan van den Berg, Jasper...
CSI.SP: Valuating The Informal Built Environment by Daan van den Berg, Jasper...CSI.SP: Valuating The Informal Built Environment by Daan van den Berg, Jasper...
CSI.SP: Valuating The Informal Built Environment by Daan van den Berg, Jasper...Jasper Moelker
 

Destacado (17)

History of music videos
History of music videosHistory of music videos
History of music videos
 
Turning Oyster Cards into Information
Turning Oyster Cards into InformationTurning Oyster Cards into Information
Turning Oyster Cards into Information
 
Redes sociales 2
Redes sociales 2Redes sociales 2
Redes sociales 2
 
무직장인대출//BU797。СΟΜ//이륜차보험 루테인일본출장
무직장인대출//BU797。СΟΜ//이륜차보험 루테인일본출장무직장인대출//BU797。СΟΜ//이륜차보험 루테인일본출장
무직장인대출//BU797。СΟΜ//이륜차보험 루테인일본출장
 
Multi tracking
Multi trackingMulti tracking
Multi tracking
 
09363 (2)
09363 (2)09363 (2)
09363 (2)
 
Resenha temática
Resenha temáticaResenha temática
Resenha temática
 
Uso de las tics en el turismo
Uso de las tics en el turismoUso de las tics en el turismo
Uso de las tics en el turismo
 
Ameria Group: Investor Relations Presentation Q2 2014
Ameria Group: Investor Relations Presentation Q2 2014 Ameria Group: Investor Relations Presentation Q2 2014
Ameria Group: Investor Relations Presentation Q2 2014
 
Pmc profile 22032016
Pmc profile 22032016Pmc profile 22032016
Pmc profile 22032016
 
la comunicacion
la comunicacionla comunicacion
la comunicacion
 
issb experience of one student
issb experience of one studentissb experience of one student
issb experience of one student
 
Final m3 online session 1 wbs3760 24.2.17
Final m3 online session 1 wbs3760 24.2.17Final m3 online session 1 wbs3760 24.2.17
Final m3 online session 1 wbs3760 24.2.17
 
Paris Redis Meetup Introduction
Paris Redis Meetup IntroductionParis Redis Meetup Introduction
Paris Redis Meetup Introduction
 
PSYCHOLOGICAL TESTS AT ISSB
PSYCHOLOGICAL TESTS AT ISSBPSYCHOLOGICAL TESTS AT ISSB
PSYCHOLOGICAL TESTS AT ISSB
 
CSI.SP: Valuating The Informal Built Environment by Daan van den Berg, Jasper...
CSI.SP: Valuating The Informal Built Environment by Daan van den Berg, Jasper...CSI.SP: Valuating The Informal Built Environment by Daan van den Berg, Jasper...
CSI.SP: Valuating The Informal Built Environment by Daan van den Berg, Jasper...
 
Podocarpus
PodocarpusPodocarpus
Podocarpus
 

Similar a How to Radically Simplify Your Business Data Management

Prague data management meetup 2018-03-27
Prague data management meetup 2018-03-27Prague data management meetup 2018-03-27
Prague data management meetup 2018-03-27Martin Bém
 
DM Radio Webinar: Adopting a Streaming-Enabled Architecture
DM Radio Webinar: Adopting a Streaming-Enabled ArchitectureDM Radio Webinar: Adopting a Streaming-Enabled Architecture
DM Radio Webinar: Adopting a Streaming-Enabled ArchitectureDATAVERSITY
 
USQL Trivadis Azure Data Lake Event
USQL Trivadis Azure Data Lake EventUSQL Trivadis Azure Data Lake Event
USQL Trivadis Azure Data Lake EventTrivadis
 
Transform your DBMS to drive engagement innovation with Big Data
Transform your DBMS to drive engagement innovation with Big DataTransform your DBMS to drive engagement innovation with Big Data
Transform your DBMS to drive engagement innovation with Big DataAshnikbiz
 
J1 - Keynote Data Platform - Rohan Kumar
J1 - Keynote Data Platform - Rohan KumarJ1 - Keynote Data Platform - Rohan Kumar
J1 - Keynote Data Platform - Rohan KumarMS Cloud Summit
 
Windows Azure Platform - Jonathan Wong
Windows Azure Platform - Jonathan WongWindows Azure Platform - Jonathan Wong
Windows Azure Platform - Jonathan WongSpiffy
 
Solving enterprise challenges through scale out storage & big compute final
Solving enterprise challenges through scale out storage & big compute finalSolving enterprise challenges through scale out storage & big compute final
Solving enterprise challenges through scale out storage & big compute finalAvere Systems
 
Microsoft Fabric Introduction
Microsoft Fabric IntroductionMicrosoft Fabric Introduction
Microsoft Fabric IntroductionJames Serra
 
La creación de una capa operacional con MongoDB
La creación de una capa operacional con MongoDBLa creación de una capa operacional con MongoDB
La creación de una capa operacional con MongoDBMongoDB
 
Azure Data Explorer deep dive - review 04.2020
Azure Data Explorer deep dive - review 04.2020Azure Data Explorer deep dive - review 04.2020
Azure Data Explorer deep dive - review 04.2020Riccardo Zamana
 
Modern Data Management for Federal Modernization
Modern Data Management for Federal ModernizationModern Data Management for Federal Modernization
Modern Data Management for Federal ModernizationDenodo
 
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016StampedeCon
 
Horses for Courses: Database Roundtable
Horses for Courses: Database RoundtableHorses for Courses: Database Roundtable
Horses for Courses: Database RoundtableEric Kavanagh
 
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...Precisely
 
How does Microsoft solve Big Data?
How does Microsoft solve Big Data?How does Microsoft solve Big Data?
How does Microsoft solve Big Data?James Serra
 
Azure Overview Csco
Azure Overview CscoAzure Overview Csco
Azure Overview Cscorajramab
 
2016 August POWER Up Your Insights - IBM System Summit Mumbai
2016 August POWER Up Your Insights - IBM System Summit Mumbai2016 August POWER Up Your Insights - IBM System Summit Mumbai
2016 August POWER Up Your Insights - IBM System Summit MumbaiAnand Haridass
 
AWS Summit Berlin 2013 - Big Data Analytics
AWS Summit Berlin 2013 - Big Data AnalyticsAWS Summit Berlin 2013 - Big Data Analytics
AWS Summit Berlin 2013 - Big Data AnalyticsAWS Germany
 
Microsoft Azure
Microsoft AzureMicrosoft Azure
Microsoft AzureDavid Chou
 
Welcome & AWS Big Data Solution Overview
Welcome & AWS Big Data Solution OverviewWelcome & AWS Big Data Solution Overview
Welcome & AWS Big Data Solution OverviewAmazon Web Services
 

Similar a How to Radically Simplify Your Business Data Management (20)

Prague data management meetup 2018-03-27
Prague data management meetup 2018-03-27Prague data management meetup 2018-03-27
Prague data management meetup 2018-03-27
 
DM Radio Webinar: Adopting a Streaming-Enabled Architecture
DM Radio Webinar: Adopting a Streaming-Enabled ArchitectureDM Radio Webinar: Adopting a Streaming-Enabled Architecture
DM Radio Webinar: Adopting a Streaming-Enabled Architecture
 
USQL Trivadis Azure Data Lake Event
USQL Trivadis Azure Data Lake EventUSQL Trivadis Azure Data Lake Event
USQL Trivadis Azure Data Lake Event
 
Transform your DBMS to drive engagement innovation with Big Data
Transform your DBMS to drive engagement innovation with Big DataTransform your DBMS to drive engagement innovation with Big Data
Transform your DBMS to drive engagement innovation with Big Data
 
J1 - Keynote Data Platform - Rohan Kumar
J1 - Keynote Data Platform - Rohan KumarJ1 - Keynote Data Platform - Rohan Kumar
J1 - Keynote Data Platform - Rohan Kumar
 
Windows Azure Platform - Jonathan Wong
Windows Azure Platform - Jonathan WongWindows Azure Platform - Jonathan Wong
Windows Azure Platform - Jonathan Wong
 
Solving enterprise challenges through scale out storage & big compute final
Solving enterprise challenges through scale out storage & big compute finalSolving enterprise challenges through scale out storage & big compute final
Solving enterprise challenges through scale out storage & big compute final
 
Microsoft Fabric Introduction
Microsoft Fabric IntroductionMicrosoft Fabric Introduction
Microsoft Fabric Introduction
 
La creación de una capa operacional con MongoDB
La creación de una capa operacional con MongoDBLa creación de una capa operacional con MongoDB
La creación de una capa operacional con MongoDB
 
Azure Data Explorer deep dive - review 04.2020
Azure Data Explorer deep dive - review 04.2020Azure Data Explorer deep dive - review 04.2020
Azure Data Explorer deep dive - review 04.2020
 
Modern Data Management for Federal Modernization
Modern Data Management for Federal ModernizationModern Data Management for Federal Modernization
Modern Data Management for Federal Modernization
 
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
 
Horses for Courses: Database Roundtable
Horses for Courses: Database RoundtableHorses for Courses: Database Roundtable
Horses for Courses: Database Roundtable
 
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
 
How does Microsoft solve Big Data?
How does Microsoft solve Big Data?How does Microsoft solve Big Data?
How does Microsoft solve Big Data?
 
Azure Overview Csco
Azure Overview CscoAzure Overview Csco
Azure Overview Csco
 
2016 August POWER Up Your Insights - IBM System Summit Mumbai
2016 August POWER Up Your Insights - IBM System Summit Mumbai2016 August POWER Up Your Insights - IBM System Summit Mumbai
2016 August POWER Up Your Insights - IBM System Summit Mumbai
 
AWS Summit Berlin 2013 - Big Data Analytics
AWS Summit Berlin 2013 - Big Data AnalyticsAWS Summit Berlin 2013 - Big Data Analytics
AWS Summit Berlin 2013 - Big Data Analytics
 
Microsoft Azure
Microsoft AzureMicrosoft Azure
Microsoft Azure
 
Welcome & AWS Big Data Solution Overview
Welcome & AWS Big Data Solution OverviewWelcome & AWS Big Data Solution Overview
Welcome & AWS Big Data Solution Overview
 

Último

Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityWSO2
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesrafiqahmad00786416
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontologyjohnbeverley2021
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Bhuvaneswari Subramani
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Zilliz
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Orbitshub
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...apidays
 

Último (20)

Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 

How to Radically Simplify Your Business Data Management

  • 1. How to radically simplify your business data management Copyright    © Clusterpoint  2015 Gints Ernestsons, founder
  • 2. All-in-one platform: DBMS, SEARCH, one API and one COST Document database with JavaScript/SQL + high performance transactions Search platform with data relevance ranking, including full-text & geospatial data High-availability distributed computing Real-time online web and mobile analytics Patent filed, US ACID
  • 3. Ordinary database software requires tons of your efforts Your coporate business data management
  • 4. The main problem is excessive fragmentation of data storage Relational databases were designed for tabular data storage model. It requires complex software: schemas, encoded data, inflexible relations, sophisticated indexes. Complexity of your IT systems increases over your database life-time many-fold. Your costs too. FRAGMENTED SOFTWARE
  • 5. Excessive fragmentation of software systems kills productivity Bad performance No easy scalability TCO sky-rocket
  • 6. Your IT operations suffer productivity loss and high costs • proliferation of multiple software platforms and tools • excessive efforts to write integration code among platforms • extra costs to make bug-free changes in complex software • degrading performance in your growing data volumes • painful dependency on ex-employees made “spaghetti” code • high cost of new software development for aging old databases • escalating costs to update legacy systems for web computing • missed software development dead-lines
  • 7. Your business pains from your software age and complexity • slow, frustrating performance of your web and mobile applications • each extra 1 second waiting time causes 7% web customers leaving • proliferation of your data copies across multiple costly systems • weakened, more easily breakable your corporate data security • long time-to-market for your new software products and services • lost revenue due to poor or mediocre customer satisfaction • overexpensive TCO for your IT systems that uses legacy databases • decreased or lost profitability of your business
  • 8. Is there a solution for complexity problems in your IT system? OPEX, TCO Your database life-cycle Save > 80% Welcome to the 21st century document-database software!
  • 9. Formalized knowledge of humanity is stored in documents Text, formulas, tables and images organized into documents About 5000 years ago Sumerian script (pre- cursor of docu- ment)
  • 10. Material document format lives for many thousands of years letters  -­ books    -­ comics  and  images    -­ maps    -­ product  catalogs  -­ theater  scripts    -­ music  notes     -­ math  diagrams  with  tables  and  formulas  -­ research  notes  – analytical  charts  – newspapers   – magazines  – advertisements
  • 11. Nearly all your business information lives in documents too
  • 12. Document data format ideally organizes human knowledge v Scales to big volumes (think – ancient libraries) v Replicates into many copies (think – old printing press) v Can service great masses of people (industries, nations, cultures) v Unifies structured and unstructured data (linked data value) v Has elastic content flexibility for future changes (agility) v Can be distributed through networks (trade, business) v Enables disassembling into smaller fragments (modularity) v Maintains knowledge long-term (age of the language) v Is being favored by software programmers (objects in OOP) v Can be easily re-used by humans and machines (portability)
  • 13. What is going to happen in the 21st century computing? Relational databases are going to die in pain!
  • 14. Locked into tables? Welcome back to the document model! WWW. The globe-spanning document store model efficiently operates the Web data since 1995! Clusterpoint database was engineered following the same distributed computing principles for machine-readable documents ( XML, JSON, HTML, TEXT data ) HTML
  • 15. Where Clusterpoint distributed database technology stands Scalable full-text search platforms with ranking Google search Microsoft Fast Search
  • 16. Clusterpoint converges future software technologies together Distributed computing architecture Document database model Ultra fast web-style search with relevancy ranking
  • 17. Clusterpoint software has 4 unique competitive advantages: 1. Bulletproof ACID-compliant transactions in distributed databases 2. Built-in scalable enterprise search with tunable relevance ranking 3. Unlimited extendability of API through JavaScript/SQL query language Think: high-performance NOSQL with rock-solid reliability of SQL RDBMS Think: Google search or Microsoft Fast Search technology for your data A query language your IT people never heard of, but they already know 4. Distributed computing engine without complexity of map/reduce API Run your Big data tasks across many commodity servers in JS/SQL
  • 18. Our platform simplifies your business information management All key features of modern data management are included into a single cloud-like infrastructure software platform (C/C++) Removes complexity from your legacy IT systems Saves your costs of doing online business
  • 19. No systems integration requiredCustom “stitching” all platforms Kill complexity! Boost performance! Nail search! Cut your cost! DBMS w ACID- transactions ONE   API Cut 80% off your TCO Up to 1000x faster High availability shards, replicas Online analytics platform Search platform, full-text index Tons of your integration efforts and application “spaghetti” code
  • 20. Budget  for  100-­‐users  company,  in  $ Commercial   RDBMS  +  SEARCH Open  source   RDBMS  +  SEARCH Clusterpoint   database DBMS  software  license (enterprise  edition) 14  000   0 0 DBMS  software  maintenance  (3  years) 20%  /  3  x  2800   DIY  /  0 3  x  7200 SEARCH  software  platform  (ESS)  license 10  000 0 0 SEARCH  software  maintenance  fee  (3  year) 20%  /  3  x  2  000 DIY  /  0 0 DBMS  client  software  access  licenses  (100   users) 10  000 0 0 DBMS  +  SEARCH  integration  through  custom   application  software  code  (developer  months) 3m  /  15  000 6m  /  30  000 1m  /  5000 DBMS  high-­‐availability  clustering  option  or custom  HA  integration  (developer  months) 2m  /  10  000 4m  /  20  000 0 Operate  &  scale  integrated  DBMS  +  SEARCH  +   custom  spaghetti-­‐code  (developer  months) 9m  /  45  000 18m  /  90  000 0 Your  TCO  over  3-­‐years  life-­‐span,  in  $: 118  400 140  000 26  600 Single  DBMS  and  SEARCH  platform  decreases  your  TCO  by  80%
  • 21. Constant and predictable query latency enables real-time Big Data search and analytics PB GB TB MB Milliseconds for a Clusterpoint query Minutes ... hours for a SQL query Scale to billions of your documents enjoying low latency queries RANKING INDEX XML JSON
  • 22. 1.5 sec SQL query in RDBMS CLUSTERPOINT query Your annual cost of 100 employees each doing 100 slow queries daily is above $ 28 000 Cut off 1.35 sec from each query Literally accelerate your business with lightning-fast searches 0.15 sec $31.32 per hour for total employee compensation, U.S.Bureau of Labor Statistics, 2015 Accelerate your 1000 employees and save $ 250 000 Accelerate your 10000 employees and save $ 2.5 million Accelerate your 100 employees and save $ 25 000
  • 23. MySQL Multiple Bugs Let Remote Users Access and Modify Data and Deny Service Security Tracker, Jan 2015 Attackers targeting Elasticsearch remote code execution hole The Register US Department of Homeland Security Calls On Computer Users to Disable Java Forbes The Odd Couple: Hadoop and Data Security ZDnet CIOs still don't care about Hadoop data security TechRepublic By  using  multiple  platforms,  your  security  problems  are  snowballing Bash bug leaves Linux users shellshocked WindowsSecurity
  • 24. Manage all your data, indexes and replicas with solid security Ordinary operational SQL database Big data cluster, replicas, backup All your mission-critical data in one Database & Search platform XML JSON ONE API: JS/SQL ACID  transactions Search and analytics data/indexes BLOB
  • 25. Develop your application software code scalable from day-one OPEX, TCO Database  life-­cycle Save  >  80% WRITE  ONCE and  decrease  life-­‐ time  cost  of  your   web  or  mobile   application Test          Year  1                    Year  2                                        Year  3                                                            Year  4                                                      Year  N
  • 26. replica  1 replica  2 replica  3 Why pay extra for high-end features? Use out-of-the-box! LOAD BALANCING FAULT-TOLERANCE HIGH-AVAILABILITY SCALE OUT ABILITY
  • 27. Start managing your own databases at the “speed of light” Free test sign-up (no credit card): www.clusterpoint.com Your business accelerated!