DEJ’s summary and analysis of 19 vendor briefings conducted around the conference.

1. DEJ’s summary and analysis of 19 vendor
briefings conducted around the conference.
Vendor Briefing Overviews
2016 Strata Conference, NYC

2. 44%
of organizations are
looking for more
collaboration capabilities
for Big Data Analysis
Alation leverages machine
learning, AI and Semantic
Search concepts to enable
faster access to the right
data
Self-service is a major part
of Alation's value
proposition as it addresses
some of the key obstacles
for Big Data Analytics
deployments
Connecting to databases
is automated, which
makes data discovery and
search almost like Google
for the Web
"Analysts need a
solution that is
Knowledge
Management for data
to help them find
data, understand it
and collaborate
around it“
-Stephanie Langenfeld
McReynolds, VP of
Marketing, Alation
Alation
Alation provides a Data Catalog solution that enables
collaboration and improves productivity and value provided by
data analysts. The solution includes a broad set of features that
enable collaboration and data search such as: query sharing and
discovery, popularity ratings for tables, discovering experts or
tagging and workspace creation.
Forty-one percent and 56% of organizations listed collaboration
and knowledge management, respectively, as key enablers for
using technology as a source of competitive advantage. Alation's
solution provides not only strong capabilities for cataloging data,
but also applies advanced concepts from collaboration and
knowledge management to maximize the impact of data analysts
on business goals
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3. 48%
Reported that customer
requests to engage via
different channels have
increased over the last 12
months
Allsight's synthesis is
designed based on how
data is created
The company’s approach
is different than that of
meta data vendors as they
index all the data with
elastic search
AllSight's technology can
synthesize any type of
data, but as of now, the
focus is on customer data
"Using Data Lakes is
almost like cleaning a
basement. If you just
clean your basement,
it doesn't mean it is
organized”
-David Corrigan
CMO & VP Product
Management, InfoTrellis
AllSight
AllSight, a Customer Intelligence Management (CIM) solution by
InfoTrellis, enables organizations to synthesize customer data
collected from a broad variety of sources and produce actionable
insights into job functions, such as Marketing, Service, Sales, IT,
CDOs and CAOs.
AllSight is able to hold all of the data, not just samples, and apply
confidence levels on it before it is synthesized. The solution
provide unique insights that range from sentiments, life events
and personality to influencers, location events and customer
journey insights.
The solution enhances current Data Lake deployment by
providing an additional dimension of insight and intelligence that
improves usability of data.
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4. 48%
Reported lack of
collaboration between
business users and
engineers as a challenge
Alpine Data provides a
unique approach for real-
time analytics through its
Portable Format for
Analytics (PFA) standard
One of the core
capabilities of Alpine
Data's solution is providing
a collaborative
environment where
engineers and business
professionals get engaged
The company has a strong
success engaging with
business professionals, as
its capabilities are well
aligned with addressing
key business objectives
"Machine learning is
a part of
contemporary
corporate literacy
-Joshua Lewis
Vice President, Product,
Alpine Data
Alpine Data
Alpine Data's platform is based on data science and machine
learning and enables organizations to create and manage
projects and facilitate collaboration between business
stakeholders, data scientists and engineers. The company's PFA
can express any arbitrary language of computation and can be
deployed in business processes and applications which enables
organizations to directly impact key business goals.
DEJ's research shows that organizations that are incorporating
Big Data Analytics into business processes are 1.6 times more
likely to reduce operational cost and 2.2 times more likely to
improve customer engagement. Deployments of Alpine Data's
PFA platform are well aligned with these practices of forward
thinking organizations.
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5. 21%
of organizations will
develop capabilities for
collecting data from
sensors in 2017
Key strengths of Basho's
solution are high
scalability and availability
which makes it a very
good fit for large
enterprise deployments
Riak TS, the company's
NoSQL database is
optimized specifically for
IoT and Time Series data
The solution integrates
with Big Data technologies
such as Apache Spark,
Redis Caching, Apache
Solr, and Apache Mesos
"Large enterprises
don't want to engage
with five or six
different vendors and
are looking for a
platform more than a
tool
-Stephen Condon, Senior
Director of Marketing,
Basho Technologies
Basho Technologies
Basho provides Big Data database solutions that are
predominantly leveraged by large enterprises in a variety of use
cases such as IoT, session data, business continuity and content
and documents. The solution is highly scalable and includes
strong resiliency capabilities, as it is able to effectively operate
despite network outages.
The company's Riak TS solution is also available as open source
software that includes capabilities such as data co-location, time
series data model and Spark connector. Basho's Riak solution is
designed to run on commodity hardware for both public and
private infrastructures.
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6. 61%
Reported correlating data
from different silos as one
of the key challenges for
Big Data
Time to value for the
solution is one of the key
strengths, which is very
well aligned with key
selection criteria for users
The company's approach
is well aligned with a trend
of democratizing access to
insights from the data
There is no separate
message broker in this
architecture which
simplifies making analytics
a core part of business
strategy
"Analysts can ask any
questions with no
technical expertise
needed and get the
data you didn't even
know exists“
-John Rueter VP of
Marketing, Cambridge
Semantics
Cambridge Semantics
Cambridge Semantics leverages the Semantic Web approach for
Analytics and data management. This approach is agnostic of
data formats, sources and applications, which allows
organizations to have a truly horizontal view of their data. The
company's solution automates the tagging process in an
intelligent fashion, applying some AI concepts, and creates ETL
jobs.
Cambridge Semantics' approach is fairly distinctive in the market
and allows organizations to gain unique insights from their data
for a broad range of use cases. The solution is also agnostic of
the type of Big Data environment where it is being leveraged,
which allows user organizations to quickly adapt to changes in
their markets and seamlessly analyze new types of data.
The solution is easy to deploy and time-to-value is very fast.
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7. 40%
Reported speed of
innovation as the key
driver for deploying Big
Data Analytics solutions
The company's focus on
empowering people that
are closest to the problem
is well aligned with the
needs of 56% of
enterprises that are
looking to achieve this
goal
Continuum's solution is
built on heterogeneity of
languages and data
sources
The company is taking a
success that it
experienced as an open-
source solution to
providing strong enterprise
level offering
"Open Data Science
(ODS) is the 21st
century's version of
literacy “
-Peter Wang, CTO and
Co-Founder, Continuum
Analytics
Continuum Analytics
Continuum Analytics, a provider of Anaconda, a Python-based
open data science platform, enables organizations to address
some of the key goals of Big Data management such as
improving collaboration, productivity and of data science teams
and quickly extract business value from the data.
Fifty-seven percent of organizations in DEJ research reported
performance of Big Data analytics solution to be one of the key
selection criteria while 44% reported collaboration as one of the
key areas they are looking to address. The company's solution is
a unique convergence of high performance computing (HPC) and
analytics that is well aligned with selection criteria of enterprise
user organizations.
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8. 37%
Reported cost as the key
reason for not deploying
Big Data analytics
The solution enables
organizations to package
all of their data tasks as
API workflows
One of the key strengths
of the solution is that it is
easy to use for analysts
while providing coding
interface for data scientists
Dataiku provides
architecture for
transitioning Big Data
workflows from pre-
production to production
"Our vision is to lower
barriers to entry by
reducing cost of
implementing
advanced analytics
capabilities“
-Florian Douetteau, CEO,
Dataiku
Dataiku
Dataiku provides a platform for data science, developers and
analysts teams to collaborate, build data products and get
insights from the data. The company's virtual data abstraction
layer allows organizations to avoid unnecessary data movement,
which reduces the need for additional data warehouses.
Dataiku provides a number of plugins and API connectors for a
large variety of data storage systems and reduces the need to
move data for processing, which enables organizations to simplify
their Big Data management tasks.
Some of the use cases where the solution is typically deployed
include customer segmentation and loyalty programs, predictive
detection and supply chain.
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9. 68%
Reported that customer
expectations for
engagement and
experience changed over
the last 12 months
Some of the key benefits
of AIM include: single view
into all data, self-service
and application
development
With the deployment of
AIM, IT is still in control, as
it is able to jointly manage
security policies and
governance
The solution allows
analysts to create a
personalized workspace
"The new digital
customer is rising and
continuously
changing
expectations about
experience“
-Berna Devrim, Senior
Director, Global Solutions
Marketing, Dell EMC
Dell EMC
At the conference, Dell EMC discussed, under embargo, the
launch of its Analytic Insight Module (AIM) that was formally
announced at Dell EMC World. The solution is deployed on the
company's native hybrid cloud and allows organizations to quickly
get a unified view and sights of different types of data from a
variety of sources.
Some of the key capabilities of the solution are very well aligned
with user requirements, such as collaboration capabilities, the
ability to create personalized workspaces and faster times to
value. Strong focus on application development well positions
Dell EMC to address some of the key goals for digital
transformation and using technology as a competitive advantage.
Quality of user experience is one of the strengths of AIM and it
allows customers to select Hadoop distribution and analytics,
visualization and NoSQL solutions of their choice.
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10. 46%
Reported that their need
for processing and
analyzing customer data in
real-time has increased
over the last 12 months
Separating data
processing and storage is
well aligned with user
requirements as 53% of
organizations give this
capability high importance
Strong capabilities for
looking at the data from a
time value perspective
High performance is one
of the key strengths and
differentiators
"Our goal is to make
Spark more
enterprise-ready and
be leveraged beyond
current workloads “
-Ali Hodroj, VP, Products
and Strategy, GigaSpaces
GigaSpaces
In September GigaSpaces announced the availability of
InsightEdge, a low latency solution for analytical and
transactional data processing. The solution leverages on Apache
Spark API and enables faster data analytics. Even though it
complements XAP, the company's In-Memory Computing
Platform, the solution can also be deployed as a standalone
product.
This announcement enables GigaSpaces to be more appealing to
Data Scientists and Analysts, as it simplifies machine learning
and allows easier access to data and insights. The solution also
includes high availability and strong performance capabilities for
streaming.
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11. 32%
average increase in
resources available for
growth and innovation after
deploying ITOA solution
The solution is
predominantly leveraged
in four major areas -
Security, IoT, Marketing
and IT Operations
Predictions are based on
behavioral analysis which
allows organizations to
proactively address
potential issues before
users are impacted
The solution can process
3,000 concurrent data
queries in each moment
"We are seeing a
transition from IT
Operations analytics
(ITOA) to algorithmic
and computer event
processing“
-Pedro Castillo, CEO,
Logtrust
Logtrust
Logtrust provides a scalable solution for real-time analysis of any
type of time-series data. The solution has short time-to-value and
calculates latitude, longitude and reputation of data.
One of the key strengths of the solution is heterogeneity of data
formats that can be processed, as Logtrust helps organizations
get insights from batch, streaming or complex event processing
(CEP) data, all in real time.
The solution can be deployed as SaaS, on premise or hybrid and
currently is predominantly used in large scale environments such
as Telecommunications providers, the Banking and Financial
industry and enterprises that need large security deployments.
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12. 61%
Reported planned
increases in deployments
of container-based
services in next 12 months
18% of MapR’s customers
are using 50 or more Big
Data applications
MapR’s solution is well
positioned to help
organizations drive
innovation by making it
easier to develop
applications and improve
scalability
There is no separate
message broker in the
MapR Streams
architecture which
simplifies making real-time
analytics a core part of
business strategy
"There are some
assumptions that
need to be broken
such as: "I need to
know questions that I
should be asking" or
"I need to expect
delays"“
-Jack Norris, SVP Data
and Applications, MapR
MapR Technologies
MapR announced a solution for managing event-driven
microservices that enables organizations to maximize the
benefits of a real-time, Big Data infrastructure around analytics,
application development and testing. The solution provides value
in both operations and analytics areas and addresses a wide
range of business goals, from reducing operational cost to driving
innovation and creating new revenue streams.
Fifty-one percent of organizations in DEJ's recent research
reported that their management tools are not as effective when
deployed in a more dynamic environments and 39% reported that
managing performance of microservices as one of their key
challenges for application performance. That makes market
opportunities for MapR's solution fairly horizontal and allows the
company to address a variety of use cases and business
challenges.
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13. 41%
Leveraging, or looking to
leverage, IT Operations
Analytics (ITOA) data for
business purposes
Rocana's solution is used
by both IT and business
users which makes it a
good fit for digital
transformation
The company's advanced
analytics capabilities
impact a wide range of key
business goals such as
operating cost and
customer satisfaction
Rocana's open approach
for analyzing event data
eliminates some of the key
challenges created from
deploying proprietary IT
monitoring solutions
"If you're only
analyzing 10% of
your data, that can be
telling a very different
story than the full
100% tells"
-Omer Trajman, CEO,
Rocana
Rocana
Rocana advanced analytics solution is designed for addressing
the needs of IT Operations as well as IT and business executives
around digital transformation. DEJ's research shows that
Analytics are the #1 growth area for IT Monitoring and Rocana is
one of the few vendors in that space that offers sophisticated Big
Data Analytics capabilities.
The company has a strong focus on putting the data in the right
context and providing full visibility across the entire IT
environment - infrastructure elements, applications, events, etc. -
which allows it to differentiate in this market and provide a
unique approach for addressing key performance and security
challenges.
Rocana also has strong technology partnerships in Big Data
technology markets with companies such as Cloudera,
Hortonworks, Oracle and Zoomdata.
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14. 43%
are looking to deploy cloud
based solutions for Big
Data Analytics
SAP's cloud-based
approach is aligned with
market trends, as DEJ's
research shows a 38%
increase in organizations
deploying Cloud services
since 2014
Enabling operational
services use cases is one
of the key strengths of the
solution
AltiScale's high
performance and elasticity
capabilities make it a good
fit for emerging IoT
analytics use cases
"Lowering the
threshold for
embracing Big Data is
the key for achieving
key business goals “
-Ken Tsai, VP, Head of
Cloud Platform & Data
Management, Product
Marketing, SAP
SAP
During the conference, SAP announced completing the
acquisition of AltiScale, a cloud based Big Data platform. The
acquisition enables SAP to leverage some of the AltiScale's core
differentiators, such as being fully optimized for Hadoop and
strong self-service capabilities for business analysts, to further
strengthen its position in this market. Also, short time-to-value of
AltiScale's solution opens up new opportunities in the market, as
58% of user organizations listed it as the key selection criteria.
Forty-one percent of organizations that are looking to become
digital businesses are making technology a core part of their
business strategies. AltiScale's strong focus on working with
customers to use technology as a competitive advantage
provides a major opportunity for SAP in enabling digital
transformation as Big Data Analytics and Management was
reported as the #1 technology area for improving competitive
position.
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15. 58%
of organizations reported
time to value to be a key
selection criteria for BI
solutions
Self service capabilities,
fast time to value and
ease of deployment and
use are well aligned with
the need for making BI
solutions appealing to
more organizations
Innovative approach for
using IoT and AI that
allows users to interact
with sensors to project the
data by leveraging
Amazon Echo and Alexa
Sisense enabled IoT
lightbulb changes color
based on how users are
progressing towards their
business goals
"Simplifying analytics
for business users
and democratization
of BI are critical for
achieving key
business goals”
-Guy Levy, Head of
Products, Sisense
Sisense
Sisense is providing a unique mix of capabilities that are
addressing some of the key user requirements for BI solutions. In
addition to strong data preparation and analytics features, the
company's solution includes easy to use, intuitive user interface
(UI), ability to quickly gain insights from the data and requires
very little technical expertise.
Additionally, Sisense allows organizations to test the solution
using their own data, a capability that is rare in the BI market,
which is well aligned with the needs of organizations that are
looking to become digital businesses. DEJ's research shows that
59% of organizations are looking to have a production trial of their
technology solutions before they commit to a purchase.
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16. 65%
Reported they are looking
for stronger data discovery
and search capabilities for
GRC use cases
The solution is especially
appealing for Banking and
Finance verticals that are
leveraging it for
governance, risk and
compliance (GRC)
Solix allows organizations
to text search relational
databases which enables
them to extend the value
of less current data
The company rebuilt its
data storage in Hadoop
which allows customers to
reduce the cost of data
archiving and make
access to the data easier
"There are many
solutions that can
ingest data in
Hadoop, but only one
that can MOVE it to
Hadoop”
-John Ottman, Executive
Chairman, Solix
Technologies
Solix Technologies
Solix enables organizations to apply Big Data analytics on
archived data and enterprise Data Lake. The company's
Common Data Platform for information governance includes
strong capabilities for information lifecycle management (ILM),
data security and application metadata. Additionally, Solix allows
data analysts easier access to the data through Data Lake
visualization, search and reporting and virtual project and
workflow capabilities.
As organizations are dealing with an increasing amount of new
data that needs to be processed on an ongoing bases, they are
forced to archive larger amounts of less current data more
frequently. Solix allows them to better manage and get more
value out of inactive data from both GRC and business value
creation perspectives.
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17. 34%
Reported they are looking
to deploy data filtering
capabilities
Striim's solution enables
organizations to turn all
the data into streams
which allows them to get
to actionable insights
faster
Low configuration is one of
the strengths of Striim's
solution
Writing new applications is
fairly easy and customers
start seeing the value 2-3
weeks after an application
is written
""Why are you
moving data to
Hadoop/Kafka?" -
After customers
answer that question,
they realize they need
streaming“
-Steve Wilkes, CTO and
Founder, Striim
Striim
Striim provides solutions for real-time data integration and
streaming analytics that enable organizations to filter and enrich
streaming data, provide context around it, quickly get insights
through visualization and triggers and load it into Big Data, cloud
and storage environments.
Some of the key strengths of Striim's solution are change data
capture (CDC) capabilities, transaction centric approach and fast
time to value.
At the conference, Striim announced integration with Google
BigQuery 2.0 that enables organizations to move large amounts
of data in real time to their Google BigQuery environments for
storage and analysis.
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18. 46%
Reported lack of technical
expertise being the key
challenge for using data to
create a business value
A unique combination of
machine learning and
computer interaction and
visualization is one of the
key differentiators
Trifacta offers a free
desktop version of their
solution that currently has
more than 16,000 users
Ease of use and quality of
user experience are some
of the key reasons
organizations are
deploying Trifacta's
solution
"The data wrangling
market is maturing
and organizations are
realizing the value of
this approach. Now
they are becoming
more interested in
differences between
these solutions “
-William Davis, Director of
Product Marketing,
Trifacta
Trifacta
Trifacta provides a solution for data wrangling that is deployed
between the Hadoop platform and Big Data analytics and
applications and enables organizations to data analyze and make
faster and more accurate decisions. The core capabilities of the
company's solution include discovering, structuring, cleaning,
enriching, validating and publishing data.
The company's approach allows organizations to reduce time,
resources and technical expertise needed for getting the most
value from their data and enables them to focus on business
value creation tasks around Big Data management.
Use cases for Trifacta's solution are fairly horizontal with specific
strengths in Customer 360, Healthcare and Consumer Packaged
Goods (CPG).
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19. 36%
average hardware cost
reduction from using Data
Lake solutions
The combination of
robustness and integration
of Zalani's capabilities is
one of the core
differentiators
Zaloni's solution is both
distribution and
deployment agnostic
(cloud, multi-cloud, on
premise, etc.)
Zaloni's solution is
purpose built for Big Data
based on many years
worth of feedback from
user organizations that are
leveraging the company's
services
"If data warehouse
was sufficient, we
wouldn't have this
many data lake
solutions”
-Kelly Schupp, VP of
marketing, Zaloni
Zaloni
Zaloni's two core products, Bedrock and Mica, provide a
comprehensive set of well integrated capabilities for managing all
major aspects of Big Data. The company's Data Lake 360
solution encompasses a broad range of capabilities that include
Data lineage, quality, lifecycle management, privacy and security,
as well as business-centric solutions for data cataloging,
metadata management and self-service data preparation.
The company's holistic approach for Big Data is well aligned with
user requirements as 44% of organizations in DEJ's research
reported that integration of solutions that are addressing only one
aspect of Big Data management is adding more complexity.
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20. 57%
Reported speed of
analytics as the key
selection criteria
The solution is agnostic of
types of data analyzed -
real-time, Big Data or pre-
existing data sets
The solution is based on
micro-querying
technology, similar to
video delivery, which
allows organizations faster
access to insights from
very large data sets
Zoomdata is the best fit for
organizations that have
more than 1 billion rows of
data on Hadoop
"You get 5% of data
right away, project the
rest and keep
populating”
-Nick Halsey, Chief
Marketing Officer,
Zoomdata
Zoomdata
Zoomdata announced integrations with Cloudera, Teradata and
Google BigQuery at the conference. These types of integrations
allow not only user organizations to get actionable insights from
their data, but also enable Big Data infrastructure vendors to
make the value of their solutions more visible.
Forty-eight percent of organizations in DEJ's Digital
Transformation survey reported that customer requests to
engage via different channels have increased over the last 12
months. Zoomdata's solution can be used internally or embedded
in a customer facing-application and accessible on any device.
That allows Zoomdata to enable their customers to address two
top technology areas of digital transformation simultaneously:
Customer Engagement and Data Analytics.
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21. Digital Enterprise Journal
Digital Enterprise Journal (DEJ) is a media and research firm
focused on digital transformation and the business value of
technology deployments. .
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October, 2016