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Open
Source
Data
Warehousing




                               1
About Infobright

Founded               2006


Headquarters          Toronto, Canada; offices in Boston, MA and Warsaw, Poland


The Infobright Data   Powerful, simple, and low cost, designed for rapidly growing volumes of
                      data
Warehouse


The Open Source
                      Community and Enterprise Editions to suit your needs
Solution



                       Simplicity: “Load and Go”, no new schemas, no indices, no data
                       partitioning, easy to maintain
                       Scalability: Ideal for databases of 500GB - 30 TB
Major Benefits
                       Low TCO: Industry-leading compression, less storage, industry standard
                       servers, low software costs, minimal ongoing operational expenses


                      Leverages MySQL connectivity to ETL and BI
                      Provides MySQL customers with scalable, enterprise-ready data warehouse
MySQL Integration
                      MySQL/SUN Microsystems invests in Infobright Sept 15, 2008!

  2
.




        Data
Warehousing
Challenges
                                                                                                         More
Kinds
of
Output

                                                                               Limited
Resources

                 More
Data,

                                                                                                        Needed
by
More
Users,

                                                                                  and
Budget
              More
Data
Sources
                                                                                                            More
Quickly
 Real
5me
data
                                   10 101 101 0 10
  0101010101010101010101010101
0101010101010101010101010101
                                                    10

 Mul5ple
databases
  0101010101010101010101010
0101010101010101010101010
                                                          0
                                                10
                                              10
                                             101




    External
Sources
     0101010101010101010101
                                                             1


    0101010101010101010101
                           10 101 10 0 10


                                                               1
                            10




                                                                 0
                                          10




                                                     01
                                         01




                                                            10
                                   01



                                                  1




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                                           10 1
                                        1 0 10
                                      1




                                                        10
                                                            0
                                       1




                                                          1
                                                       10
                                         0




                                             01
                               01   10 1
                                                       1
                                             01
                                         0
                                                10
                           1




                                                  0




                                01
                                 10
                                      0




                                     1010        1
                                    0




                                               10 10
                                                       1




                                       1
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                                                     1010 10
                               1        1                      1
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                                                                               0




                               1
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                           0




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                       1
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                                                          0




                                                                       1
                                             0

                                                                                                     Labor
intensive,
heavy

                                                                                                      indexing
and
par55oning
                                                                                                     Hardware
intensive:

massive

                                                                               Tradi5onal
Data
       storage;
big
servers
                                                                               Warehousing           Expensive
and
complex
          4
What do the current limitations mean for Stakeholders?

 Users
   Do not get access to data they need;
   Queries run too slowly;
   Are not allowed to think creatively – ask new different questions;
   Are told to wait for months for what they want in minutes;

 IT
   Besieged with requests for new data sources and new queries;
   Feature creep and changing requirements straining resources;
   Too much time and effort spent on ongoing management
   Not enough budget to meet user requirements

 Executives
   CIOs face service level complaints and rising IT costs;
   Business unit leaders without analytic data fail to achieve objectives;




 4
.



        Infobright Data Warehouse

                                                              More Kinds of Output
                                  Limited Resources
          More Data &                                         Needed by More Users,
                                  and Budget
          Data Sources                                        More Quickly




    • Just load and go                                       • No planning for new queries
    • No fixed schemas                                       • Load and query performance
    • Fast data load                                         remain the same as DB grows
    • Scales from 500GB to 30TB


                           • No DBA needed
                           • Self-managing: no indexes, no
                           data partitioning, no manual tuning
                           • Choice of open source and low-cost
                           Enterprise subscriptions
                           • Simple hardware infrastructure: standard
                           servers, much less storage
    3
The
Infobright
Difference


           Infobright's
Mission           Infobright
     
Enable
companies
of
all
sizes
to

             be
able
to
easily


    implement,
manage
and
afford
a

             data
warehouse.

          Infobright's
SoluEon
       A
radical
new
approach
to

      analyEcal
data
warehousing

7
Introducing
Infobright

                                  Column Orientation


                                                   Smarter
architecture

Knowledge
Grid
–
staEsEcs
and

                                                    Load
data
and
go
metadata
“describing”

the
super‐
                                                    No
indices
or
parEEons

compressed
data
                                                     to
build
and
maintain
                                                    Knowledge
Grid
automaEcally

        Data
Packs
–
data
stored

                                                     updated
as
data
packs
are

        in
manageably
sized,
highly

                                                     created
or
updated
        compressed
data
packs
                                                    Super‐compact
data
foot‐

        Data
compressed
using

                                                     print
can
leverage
off‐the‐
        algorithms
tailored
to

                                                     shelf
hardware
        data
type




8
Infobright
Works
Smarter

                            Query
received
by

     Infobright
Op5mizer
   Infobright
     iterates
over
the

     Knowledge
Grid


     Knowledge
Grid


                            Only
the
data
packs

                            needed
to
resolve

                            the
query
are

                            decompressed
     Data Packs
                            OUen
query
results

                            can
be
determined

                            from
the
Knowledge

                            Grid
alone

9
Infobright and MySQL

Infobright
is
architected
on
MySQL,
backed
by
strong

partnership
with
MySQL
and
SUN
                                       •
IntegraEon
provides
a
simple

                                         path
to
highly
scalable
data

                                         warehousing
for
MySQL
users
                                       • No
new
management

                                         interface
to
learn
                                       • MySQL
integraEon
enables

                                         seamless
connecEvity
to
BI

                                         tools
and
MySQL
drivers
for
C,

                                         JDBC,
ODBC,
.NET,
Perl,
etc.






26
Infobright
is
Easy
on
IT


                                             10 101 101 0 10
 Exis5ng
Data
Stores
  0101010101010101010101010101
0101010101010101010101010101
                                               10
                                                                




BI
Connectors

                                                     0
  Clickstream/Logfiles
                                                                                          No
strain
on
IT
 0101010101010101010101010
0101010101010101010101010
                                                        1
                                                          1
                                       10
                                     10




                                                                                       No
need
for
physical

                                    101

                                                            0



                                                01     10

                                                                                        data
modeling
  External
Sources
                                             1




 0101010101010101010101
                                     10




0101010101010101010101                            01
                                    01
                  10 101 10 0 100




                                                   10
                                                       0
                    10




                                                                                       Runs
on
standard

                                                     1
                                        1
                                        0




                                                  10
                                    10 1




                                                                                        hardware
                                                  1
                          01


                                    0




                                                           10
                                             0




                                     01
                             1




                                                                                       Works
with
exisEng
BI

                                        10
                              1




                                    01
                                                  1
                                         1




                                                                                        and
ETL
plaaorms
                                    0




                    01
                                        10
                          10
                  1




                                                                                       MySQL
“wrapper”
                      01
                      10
                          0




                                                                                       No
need
to
learn
new

                                                                                        database
system
                                                                                       Leverages
mature
tools
               ETL
PlaVorm

                 Connector

       10
The Infobright Difference

  Self-managing: no data partitioning, no index creation or maintenance,
   Knowledge Grid created automatically
  Very low cost: standard commodity servers; minimal administrative
   costs; simple, SMP hardware architecture; much less storage due to
   compression
  Scalable, high performance: up to 30TB using single server, very fast
   data load, superior query performance, industry-leading compression,
   query and load performance remain constant as DB size grows
  Very fast time-to-market: fast implementation, no software
   configuration, no new schema, new queries without any effort, use the
   BI tools you already have
  Community and Enterprise editions to suit your needs




11
Significantly Lower TCO

        Hardware footprint 20 to 50 times smaller
        Fewer DBA resources required
         40 – 60% reduction in one-time build
         Up to 90% reduction in ongoing support
        Support for existing infrastructure
        Load and Go
        Improved SLAs – immediate response vs weeks or months




                                      ETL and        Physical
          Software       Hardware                               Tuning
                                      Data Changes   Modeling
9
Infobright Community Edition

∗
 A column-oriented database ideal for analytics
∗
 A self-managing Knowledge Grid architecture which eliminates the need
   for indexes, data partitioning, specific schemas and manual tuning
∗ Superior query performance
∗
 Industry-leading data compression (10:1 average, up to 40:1) that results
   in a significant reduction in the size of the database and amount of
   storage needed
∗
 Runs on industry standard Intel and AMD servers
∗
 Single server can support up to 30TB of data
∗
 Open source software: GPL V2 License
∗
 Technical assistance, documentation and training services available
   separately




13
Infobright Enterprise Edition

     Infobright Community Edition product features plus:
     ∗
 DML support (Insert, Update, Delete)
     ∗
 Support for temp tables
     ∗
 Fastest data loading: up to 280GB per hour with up to 4
        tables concurrently
     ∗
 Multi-threaded Infobright loader supports text and binary
        files
     ∗
 Support for MySQL loader
     ∗
 Three Enterprise Subscription programs to suit your needs
        (include product license, maintenance and support,
        training discounts and other benefits)
     ∗
 Product warranty and indemnification
     ∗
 High availability configuration certification
     ∗
 Proactive notification of new releases

14
Get Started


• Learn more at infobright.org
• Join the forums
• Sign up for a webinar
• Download a white paper
• Download ICE
• Get a free trial of Infobright Enterprise   Contact Us
                                               Email:
                                                fraser.dickie@infobright.com
                                               Phone: 416.596.2483 x259
                                               Web:
                                                  www.infobright.com
                                                  www.infobright.org




11

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Linked-In Slide Deck

  • 2. About Infobright Founded 2006 Headquarters Toronto, Canada; offices in Boston, MA and Warsaw, Poland The Infobright Data Powerful, simple, and low cost, designed for rapidly growing volumes of data Warehouse The Open Source Community and Enterprise Editions to suit your needs Solution  Simplicity: “Load and Go”, no new schemas, no indices, no data partitioning, easy to maintain  Scalability: Ideal for databases of 500GB - 30 TB Major Benefits  Low TCO: Industry-leading compression, less storage, industry standard servers, low software costs, minimal ongoing operational expenses Leverages MySQL connectivity to ETL and BI Provides MySQL customers with scalable, enterprise-ready data warehouse MySQL Integration MySQL/SUN Microsystems invests in Infobright Sept 15, 2008! 2
  • 3. . Data
Warehousing
Challenges More
Kinds
of
Output
 Limited
Resources
 More
Data,
 Needed
by
More
Users,
 and
Budget More
Data
Sources More
Quickly Real
5me
data
 10 101 101 0 10 0101010101010101010101010101 0101010101010101010101010101 10 Mul5ple
databases 0101010101010101010101010 0101010101010101010101010 0 10 10 101 External
Sources 0101010101010101010101 1 0101010101010101010101 10 101 10 0 10 1 10 0 10 01 01 10 01 1 01 10 1 1 0 10 1 10 0 1 1 10 0 01 01 10 1 1 01 0 10 1 0 01 10 0 1010 1 0 10 10 1 1 01 101 1010 10 1 1 1 01 010 0 1 0 1 1010 010 0 1 0 10 1 01 1 01 0 0101 0 10 01 01 1 0 01 1 10 0 10 0 1 0  Labor
intensive,
heavy
 indexing
and
par55oning  Hardware
intensive:

massive
 Tradi5onal
Data
 storage;
big
servers Warehousing  Expensive
and
complex 4
  • 4. What do the current limitations mean for Stakeholders?  Users  Do not get access to data they need;  Queries run too slowly;  Are not allowed to think creatively – ask new different questions;  Are told to wait for months for what they want in minutes;  IT  Besieged with requests for new data sources and new queries;  Feature creep and changing requirements straining resources;  Too much time and effort spent on ongoing management  Not enough budget to meet user requirements  Executives  CIOs face service level complaints and rising IT costs;  Business unit leaders without analytic data fail to achieve objectives; 4
  • 5. . Infobright Data Warehouse More Kinds of Output Limited Resources More Data & Needed by More Users, and Budget Data Sources More Quickly • Just load and go • No planning for new queries • No fixed schemas • Load and query performance • Fast data load remain the same as DB grows • Scales from 500GB to 30TB • No DBA needed • Self-managing: no indexes, no data partitioning, no manual tuning • Choice of open source and low-cost Enterprise subscriptions • Simple hardware infrastructure: standard servers, much less storage 3
  • 6. The
Infobright
Difference Infobright's
Mission Infobright 
Enable
companies
of
all
sizes
to
 be
able
to
easily

 implement,
manage
and
afford
a
 data
warehouse. Infobright's
SoluEon A
radical
new
approach
to
 analyEcal
data
warehousing 7
  • 7. Introducing
Infobright Column Orientation Smarter
architecture
 Knowledge
Grid
–
staEsEcs
and
  Load
data
and
go metadata
“describing”

the
super‐  No
indices
or
parEEons
 compressed
data to
build
and
maintain  Knowledge
Grid
automaEcally
 Data
Packs
–
data
stored
 updated
as
data
packs
are
 in
manageably
sized,
highly
 created
or
updated compressed
data
packs  Super‐compact
data
foot‐
 Data
compressed
using
 print
can
leverage
off‐the‐ algorithms
tailored
to
 shelf
hardware data
type 8
  • 8. Infobright
Works
Smarter Query
received
by
 Infobright
Op5mizer
 Infobright iterates
over
the
 Knowledge
Grid Knowledge
Grid Only
the
data
packs
 needed
to
resolve
 the
query
are
 decompressed Data Packs OUen
query
results
 can
be
determined
 from
the
Knowledge
 Grid
alone 9
  • 9. Infobright and MySQL Infobright
is
architected
on
MySQL,
backed
by
strong
 partnership
with
MySQL
and
SUN •
IntegraEon
provides
a
simple
 path
to
highly
scalable
data
 warehousing
for
MySQL
users • No
new
management
 interface
to
learn • MySQL
integraEon
enables
 seamless
connecEvity
to
BI
 tools
and
MySQL
drivers
for
C,
 JDBC,
ODBC,
.NET,
Perl,
etc.

 26
  • 10. Infobright
is
Easy
on
IT 10 101 101 0 10 Exis5ng
Data
Stores 0101010101010101010101010101 0101010101010101010101010101 10 




BI
Connectors
 0 Clickstream/Logfiles No
strain
on
IT 0101010101010101010101010 0101010101010101010101010 1 1 10 10  No
need
for
physical
 101 0 01 10 data
modeling External
Sources 1 0101010101010101010101 10 0101010101010101010101 01 01 10 101 10 0 100 10 0 10  Runs
on
standard
 1 1 0 10 10 1 hardware 1 01 0 10 0 01 1  Works
with
exisEng
BI
 10 1 01 1 1 and
ETL
plaaorms 0 01 10 10 1  MySQL
“wrapper” 01 10 0  No
need
to
learn
new
 database
system  Leverages
mature
tools ETL
PlaVorm
 Connector 10
  • 11. The Infobright Difference  Self-managing: no data partitioning, no index creation or maintenance, Knowledge Grid created automatically  Very low cost: standard commodity servers; minimal administrative costs; simple, SMP hardware architecture; much less storage due to compression  Scalable, high performance: up to 30TB using single server, very fast data load, superior query performance, industry-leading compression, query and load performance remain constant as DB size grows  Very fast time-to-market: fast implementation, no software configuration, no new schema, new queries without any effort, use the BI tools you already have  Community and Enterprise editions to suit your needs 11
  • 12. Significantly Lower TCO  Hardware footprint 20 to 50 times smaller  Fewer DBA resources required  40 – 60% reduction in one-time build  Up to 90% reduction in ongoing support  Support for existing infrastructure  Load and Go  Improved SLAs – immediate response vs weeks or months ETL and Physical Software Hardware Tuning Data Changes Modeling 9
  • 13. Infobright Community Edition ∗ A column-oriented database ideal for analytics ∗ A self-managing Knowledge Grid architecture which eliminates the need for indexes, data partitioning, specific schemas and manual tuning ∗ Superior query performance ∗ Industry-leading data compression (10:1 average, up to 40:1) that results in a significant reduction in the size of the database and amount of storage needed ∗ Runs on industry standard Intel and AMD servers ∗ Single server can support up to 30TB of data ∗ Open source software: GPL V2 License ∗ Technical assistance, documentation and training services available separately 13
  • 14. Infobright Enterprise Edition Infobright Community Edition product features plus: ∗ DML support (Insert, Update, Delete) ∗ Support for temp tables ∗ Fastest data loading: up to 280GB per hour with up to 4 tables concurrently ∗ Multi-threaded Infobright loader supports text and binary files ∗ Support for MySQL loader ∗ Three Enterprise Subscription programs to suit your needs (include product license, maintenance and support, training discounts and other benefits) ∗ Product warranty and indemnification ∗ High availability configuration certification ∗ Proactive notification of new releases 14
  • 15. Get Started • Learn more at infobright.org • Join the forums • Sign up for a webinar • Download a white paper • Download ICE • Get a free trial of Infobright Enterprise Contact Us  Email: fraser.dickie@infobright.com  Phone: 416.596.2483 x259  Web: www.infobright.com www.infobright.org 11