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1
The Need For Speed:
Fast Data Development Trends 2017
Insights from over 2,400 developers on the
impact of “Data in Motion” in the real world

2
About This Report
The digitization of the world has fueled unprecedented growth in
data, creating huge implications for how enterprises interact with
data to create future business opportunities.
Fast data is a new opportunity made possible by emerging tech-
nologies and, in many cases, by new approaches to established
technologies. Like its big data counterpart, fast data is surrounded
by hype and confusion.
To better understand the current state of fast data, Lightbend
surveyed 2,457 global developers to get their real-world take on:
• Alignment between fast data and business value
• Impacts on soware development and tool choices
• Patterns and challenges facing early adopterspters
The survey was conducted in June 2017 and represents a wide
range of industries and company sizes. It is weighted toward the
perspective of developers and architects.
Respondents by Role
Developer 52%
Architect 23%
Director / Team Lead 11%
VP / CXO 4%
Consultant 4%
Other 4%
Data Scientist 2%

3
Executive Summary ....................................................................................... 4
Fast Data Value Is Clear: Senior Management Buys In ................................. 5
Batch vs Streaming: Where Speed Really Matters ........................................ 8
Technology Shis: Fast Data Shakes Up Traditional Stack ........................ 13
Last Look: Steps for Success ....................................................................... 18
Table of Contents

4
Executive Summary
The big data market
is undergoing a rapid
transformation from data
at rest to data in motion.
Analysts indicate the
adoption of fast data is
happening at a rate three
times faster than traditional
Hadoop.
Why is the fast data market
moving so fast? In this report,
we leverage real-world
insights from more than
2,400 developers to examine
adoption trends across three
key areas — business value,
use case, and technology.
Fast Data Value Is Clear: Senior Management Buys In
(see page 8)
Unlike its big data counterpart, fast data appears to be more intuitive from a business value perspective. Sixty percent of
senior management can eectively link strategic value to projects when data is in motion. Management in some indus-
tries, however, is getting it faster than others.
Batch vs Streaming: Where Speed Really Matters
(see page 8)
The move to real-time data is accelerating. Developers say ninety percent of their data processing workloads include a
real-time component. The need for speed increases as use cases climb the maturity curve. Rather than batch versus stream-
ing, enterprises will need batch and streaming to succeed with fast data.
Technology Shis: Fast Data Shakes Up Traditional Stack
(see page 13)
Developers are in the driver’s seat with regards to tech selection. Fiy-five percent say they are choosing new frameworks
and languages based on fast data requirements. But where the new ecosystem of streaming engines is concerned, develop-
ers and architects say they need guidance to choose the right tools.
Finding
01
Finding
02
Finding
03
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