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2015 Hadoop Maturity Assessment�Preliminary Results

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Goal, Benefits and Methodology

Goal: The “State of Hadoop Maturity” assessment is designed to provide a global view of Hadoop maturity by industry, workload and geography.
Benefits: Respondents are able to use their results to benchmark their efforts against industry peers. They get their individual stage result immediately after taking the survey and receive a fully aggregated report at the end of the survey period.
Methodology: AtScale partnered with a survey expert and Wayne Eckerson to build a 20-question methodology that allows for the scoring of each respondent. Cloudera, Tableau and MapR have partnered with AtScale to promote the survey and help turn it into the industry’s first and largest multi-party Hadoop assessment.

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Unique Data

This audience is not composed of tire-kickers. 77% of respondents have between 10 and 500+ nodes. Over 80% of them have had Hadoop for more than 6 months.

Only 12% of our respondents view Hadoop as tactical. Over 60% believe that Hadoop is Strategic or Game Changing.

This audience doesn’t think of Hadoop as a cheap storage: only 17% chose Hadoop because of cost reasons.

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Unique Insights

Hadoop adoption is growing and accelerating:

76% of those who already use Hadoop plan on doing more within the next 3 months.
Only 3% of respondents anticipate they will be doing less with Hadoop in the next 12 months.
Finally, almost half of the companies that haven’t deployed Hadoop say they will within the next 12 months.

Hadoop is going through a tipping point

ETL and Data Science workloads are decreasing, while Business Intelligence is gaining momentum (on Hadoop and non-Hadoop.
Self-service could be Hadoop’s #1 upside: 60% of respondents complain from a lack of self-service to Hadoop

Self-service is highly correlated with business value:

Organizations that provide business users with self-service access to Hadoop are close to 50% more likely to realize tangible value out of their Hadoop implementation.

Intentions matter and prospects are bullish:

Companies that deploy Hadoop to drive revenues are 30% more likely to achieve value than those who are looking to cut costs.
94% of respondents are bullish about their ability to achieve value from Hadoop.
The presence of an “executive mandate” (not sponsorship but mandate) boosts an organization’s chances to get value from Hadoop by 20%.

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Feedback from Hadoopers

77% of respondents have between 10 and 500+ nodes

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The Mood Around Hadoop

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Hadoop is strategic

Over 60% think of Hadoop as “Game Changing” or “Strategic”

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Mo’ Hadoop

Only 3% say they will do less with Hadoop over the next 12 months

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Outlook on Hadoop is positive

Only 6% of respondents are pessimistic about their ability to achieve value

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More is coming

Almost 50% of respondents

who have not

deployed Hadoop yet

will within this year

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The Why and What of Hadoop

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Cost is no longer the driver

Only 17% of respondents chose Hadoop because of cost.

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Business Units for Hadoop

Over 50% of respondents think Marketing and Sales would benefit from Hadoop.

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Hadoop at a tipping point?

While ETL ruled Hadoop’s first phase, Business Intelligence

will be the focus of Hadoop’s second phase.

Data Science is in decline and it will continue to fall.

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The Vectors of Value

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A vector for value: self-service

Companies that provide self-service access to business units are 50% more likely to get value out of Hadoop

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A vector for value: intention

Companies that deploy Hadoop to drive revenues are 27% more likely to achieve value than those that are looking to cut costs.

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Mo’ Nodes, Mo’ Value

Companies with

more than 100 nodes

are 2 times more likely to

to gain value out of Hadoop than those who have less than 10

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A vector for value: driver

Companies where executive mandate is driving Hadoop are 21% more likely to get value.

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Winners and Losers

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Maturity by Industry

Online, Telco and Manufacturing companies are the most mature industries. Financial Services ends up 5^th (second to last before Healthcare)

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Hadoop’s two riders: Tableau & Excel

Tableau is #1 BI tool for Hadoop

Excel is #1 BI tool for non-Hadoop

Using Hadoop

Planning on Hadoop

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Tableau users are more mature

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MapR customers are more mature

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Non-surprises

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Skillset is Hadoop #1 problem

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20% view Hadoop as replacement for the EDW

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The Business Interface for Hadoop�

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What we believe in

Hadoop is the next generation data platform

AtScale brings business intelligence to Hadoop

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What we believe in

Move & copy data

Query data in place

Agility

Static snapshot of data

Real time

No Latency

Multiple definitions of reality

Consistent definitions

Control

Data extracts

Access to all data on cluster

Scope

Separate cluster or hardware

Scale with your Hadoop cluster

Scale

Proprietary visualizer & engine

Open source engines, any BI tool

Choice

The Old Way

The AtScale Way

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What’s wrong with this picture?

Highly complex
Lots of people & Skillsets
Multiple copies of data
Stale data
Rigid schema
Tough to change

INPUT DATA

ETL

MART

QUERY ENGINE

ANALYSIS TOOLS

DATA WAREHOUSE

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We make BI work on Hadoop

Simple
Single layer
No data copies
Real time
Dynamic schema
Easy to change

INPUT DATA

HADOOP

ANALYSIS TOOLS

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What’s Next?

BI on Hadoop: Real-life examples & Best Practices

http://tinyurl.com/bi-on-hadoop

BI on Hadoop: Make it Work for You

www.atscale.com/try

BI on Hadoop: See What Your Peers are doing

http://tinyurl.com/hadoop-maturity

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Audience Maturity

Close to 60% of respondents have not provided self-service access to Hadoop yet

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Adoption Driver

Using Hadoop

Planning on Using Hadoop

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What are top challenges

Skillset, Security and Speed are top of mind issues

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