Last week in Stream Processing & Analytics 3/21/2016


This is the 6th installment of my blog series around Stream Processing and Analytics.

This week I would like to quote two articles, one from Forbes Tech and another from Information Week.

In the 17 Predictions about the future of Big Data …  Forbes compiles 17 predictions from well known analysts, mentioning fast data as one of the next trends:

  • “real-time streaming insights into data will be the hallmarks of data winners going forward”
  • “autonomous agents and things will continue to be a huge trends”
  • “Fast Data and actionable data will replace big data”

According to this article, Forrester defines streaming analytics software as technology that “can filter, aggregate, enrich, and analyze a high throughput of data from multiple disparate live data sources and in any data format to identify simple and complex patterns to visualize business in real-time, detect urgent situations, and automate immediate actions.“.Forrester also identified key vendors and technology for streaming analytics, which are Apache Spark Streaming, Apache Storm, Data Torrent, IBM, Informatica, SAP, Software AG, SQLstream, Strim (WebAction), TIBCO, and Vitria.

I’m wondering why Oracle’s Stream Explorer product is not on Forrester’s radar. Especially because it can be used for both of the two Big Data’s priorities: Streaming Analytics and Self Service.

As usual, just find what I have noticed last week:

News and Blog Posts

General

Comparison

Apache Spark Streaming

Apache NiFi / Hortonworks DataFlow

Apache Kafka

Goggle Cloud Dataflow / Apache Beam

Hortonworks DataFlow / Apache NiFi

StreamSets

IBM Quarks

Microsoft Azure Stream Analytics

SAS Event Stream Processing

New Presentations

New Videos

New Releases / Components

none

Upcoming Events

Please let me know if that is of interest. Please tweet your projects, blog posts, and meetups to @gschmutz to get them listed in next week’s edition!

 

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