Since its inception, GigaOM has covered the advent of the big data era, where the web, sensors, devices and servers combine to bury organizations in data. Over the past couple of years — more so over the past year — there has been a seeming exponential increase in tools designed to help organizations harness this data, to not only house, but also to derive meaningful insights from it. It stands to reason, however, that not every approach and vendor will thrive, or even survive.
Rather than bombard readers with information with the holidays officially upon us, I’m interested to hear your thoughts. Which of the following approaches and startups (or others not listed) will thrive and become part of mainstream IT going forward, which will remain relegated to R&D departments and large web companies, and which will simply fade into oblivion? I’ll go out on a limb and predict that Hadoop is here to stay — what do you think?
- Hadoop (Cloudera; Karmasphere; IBM; Datameer)
- Hadoop/MapReduce-like tools (Microsoft (Dryad); Appistry (Cloud MapReduce and CloudIQ Storage Hadoop Edition); Yahoo (S4))
- NoSQL databases (Riptano (Cassandra); Membase (Membase Server); Cloudant (CouchDB); 10gen (MongoDB); Basho (Riak); VMware (Redis); Apache Software Foundation (HBase); Objectivity (Objectivity/DB); MarkLogic (MarkLogic Server))
- Scalable SQL databases (Clustrix; VoltDB; GenieDB)
Image courtesy of Flickr user somegeekintn.
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