Stream Processing Frameworks
|Technology||Does it fit||Maturity||Ease of use||Language||Comments|
|Apache Storm||★★★||★★★||★★||Clojure||originates from Twitter|
|Apache Spark Streaming||★★★||★★||★★★||Scala/Java/Python||originates from AMPLab|
|Apache Samza||★★★||★★||★||Scala/Java||originates from LinkedIn|
|Apache S4||★★★||★||★||Java||originates from Yahoo!|
|Spring XD||★★★||★★||★★★||Java||originates from Pivotal|
Cloud-based (XaaS) Offerings
|Technology||Does it fit||Maturity||Ease of use||API||Comments|
|AWS Kinesis||★★★||★★||★★||Java||introduced in 11/2013|
|Google Cloud Dataflow||★★||-||?||Java||introduced in 06/2014, not yet available|
For an introduction into stream processing, have a look at a survey article on Data Stream and Complex Event Processing Systems.
If you’re interested in doing machine learning over streams, check out Yahoo!’s Scalable Advanced Massive Online Analysis (SAMOA).
Getting Started with Storm is a hands-on guide into real-time data analysis with Storm, incl. a real-life example with Node.js and Redis.
The Storm Applied book provides a gentle introduction and in-depth guidance for the advanced.
- Big Data 10
- Lambda 9
- stream processing 1
- Apache 1
- Twitter 2
- LinkedIn 1
- Yahoo 1
- Google 1
- cloud 1
- SaaS 1
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