Twitter is preparing to announce a competitor for Apache Hadoop in open source Big Data world.
The micro-blogging company bought BackType Technology for its data analytics product Storm at the beginning of July. Like Hadoop, Storm will be an open-source developed product – a process that was already underway before the acquisition. It will also compete with products such as the open-sourced S4 from Yahoo, and DarkStar from Cloud Event Processing.
Products like Hadoop and BackType are being promoted as targeted replacements for RSS feed. Where RSS generally pushes any new entry into a specific Website’s news or blog feeds to subscribers, these powerful data analytics products are developing the power to stream specific topics in a unified feed, or cluster. In this area, BackType claims to have beaten Hadoop to the punch.
Announcing the imminent release of Twitter’s Storm, Marz blogged, “A Storm cluster is superficially similar to a Hadoop cluster. Whereas on Hadoop you run ‘MapReduce jobs’, on Storm you run ‘topologies’. ‘Jobs’ and ‘topologies’ themselves are very different – one key difference is that a MapReduce job eventually finishes, whereas a topology processes messages forever (or until you kill it).”
Marz outlines three uses for Storm in his blog but adds that these are just examples and that many more will be revealed at the launch during the Strange Loop developer and software architect conference in September.
An example given of the streaming capabilities is to direct a search at trending topics on Twitter through a browser. The browser would have a realtime view on what the trending topics as they occur. This could easily be adapted for searching through terabytes of data looking for a specific product mention and alerting the browser user as each mention occurs.
Marz’s claim that Storm is easy to use could attract those who find Hadoop’s environment rather difficult to fathom and need a simpler, realtime offering.
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