Strata Standards Stories: Different Stores For Different Chores

Has HDFS joined MapReduce in the emerging “legacy Hadoop project” category, continuing the swap-out of components that formerly answered the question “what is Hadoop?” Stores for data were certainly a focus at Strata/Hadoop World in NY, O’Reilly’s well-run, well-attended, and always impactful fall event. The limitations of HDFS, including its append-only nature, have become inconvenient enough to push the community to “invent” something DBMS vendors like Oracle did decades ago: a bypass. After some pre-event leaks about its arrival, Cloudera chose its Strata keynote to announce Kudu, a new columnstore written in C++, bypassing HDFS entirely. Kudu will use an Apache license and will be submitted to the Apache process at some undetermined future time.

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Strata Spark Tsunami – Hadoop World, Part One

New York’s Javits Center is a cavernous triumph of form over function. Giant empty spaces were everywhere at this year’s empty-though-sold-out Strata/Hadoop World, but the strangely-numbered, hard to find, typically inadequately-sized rooms were packed. Some redesign will be needed next year, because the event was huge in impact and demand will only grow. A few of those big tent pavilions you see at Oracle Open World or Dreamforce would drop into the giant halls without a trace – I’d expect to see some next year to make some usable space available.

So much happened, I’ll post a couple of pieces here. Last year’s news was all about promises: Hadoop 2.0 brought the promise of YARN enabling new kinds of processing, and there was promise in the multiple emerging SQL-on-HDFS plays. The Hadoop community was clearly ready to crown a new hype king for 2014.

This year, all that noise had jumped the Spark.

— This post is continued on my Gartner blog —