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Introduction

Streaming data analytics is among the fastest-growing workloads for big data analytics in 2015. Interana is making a timely debut, delivering a self-service tool that simplifies querying and analysis of real-time data.

Highlights

  • Interana makes fast data intuitive by introducing a self-service BI query visualization environment that is paired with a back-end, high-performance data store to deliver real-time analytics that can be combined with historical analysis.
  • Interana's approach to self-service, fast data query visualization is timely given that real-time use cases will be the fastest growing workloads for big data after interactive SQL in 2015.
  • As the company overlaps into several market segments, including self-service BI, streaming, and event processing, it faces challenges identifying the right partners that could expose it to a wider market.

Features and Benefits

  • Introduces Interana, a big data analytics start-up that provides a visual business intelligence tool that works with streaming data.
  • Compares Interana to other emerging big data analytics tools that are not SQL-based.

Key questions answered

  • Who is Interana?
  • How does Interana compare and/or work with emerging open source big data streaming frameworks such as Spark Streaming and Storm?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Author

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