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Storm, distributed and fault-tolerant realtime computation

Fixed navbar Toggle navigation Apache Storm <img alt="Apache Storm" src="/images/storm_logo_tagline_color.png"></a> Home About About Contributing Bylaws Download Documentation News /.nav-collapse <div id="left"> Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple , can be used with any programming language , and is a lot of fun to use! Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node . It is scalable , fault-tolerant , guarantees your data will be processed , and is easy to set up and operate . Storm integrates w...

Linked on 2015-04-09 23:49:50 | Similar Links
Storm, distributed and fault-tolerant realtime computation

Fixed navbar Toggle navigation Apache Storm <img alt="Apache Storm" src="/images/storm_logo_tagline_color.png"></a> Home About Download Documentation News /.nav-collapse <div id="left"> Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple , can be used with any programming language , and is a lot of fun to use! Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node . It is scalable , fault-tolerant , guarantees your data will be processed , and is easy to set up and operate . Storm integrates with the queueing and database...

Linked on 2015-03-19 20:01:21 | Similar Links