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In Brief

DataTorrent, a startup building a stream-processing engine for Hadoop that it claims can analyze more than 1 billion data events per second, announced on Tuesday that its flagship product generally available. Stream processing is becoming more important as we move into an era of connected devices, ubiquitous sensors and fast-paced web platforms such as Twitter. Data is flowing into systems faster than ever, and many companies would like to get some use out of it in real time; in some cases, even hours-old data could be considered stale. Other products and projects addressing stream processing on Hadoop include Apache StormSpark Streaming and Samza, and Amazon Kinesis.

In Brief

Big data startup Concurrent has raised a $10 million series B round of venture capital from Bain Capital Ventures, Rembrandt Ventures and True Ventures (Disclosure: True Ventures is also an investor in Gigaom). The company actually made its name building and supporting Cascading, a framework that many folks use to build Hadoop applications and data workflows at a higher level than writing MapReduce jobs, but is now also pushing application performance management with a product called Driven. Concurrent launched in 2007 and has raised nearly $15 million since first taking venture financing in 2011.

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