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[...] . This is the use-case that the rest of this blog post tries to address. Background The read/write latency of data from a SSD is a magnitude smaller than the read/write latency of a spinning disk [...]

[...] .  Specifically, a release date for a Hadoop 2.0-based release of the Hortonworks Data Platform (HDP) for Windows distribution is what we’ve needed, since Hortonworks is [...]

[...] of HDP for Linux, the Windows release is now ready as well.  In a post to the Hortonworks blog today, Hortonworks’ VP of Strategic Marketing, John Kreisa,  [...]

[...] one on HBase. The goal was to stretch these products to the limit and establish their maximum sustainable throughput on SSDs. [...]

[...] performance of Apache Hive by a factor of 100; and the inclusion of release 0.96 of the Apache HBase NoSQL database, which includes new features like Snapshots and improved mean time to [...]

[...] cluster. Bigdata operates in both a single machine mode (Journal), highly available replication cluster mode (HAJournalServer), and a horizontally sharded cluster mode (BigdataFederation) [...]

[...] distribution is what we’ve needed, since Hortonworks is the only vendor with a full Windows-based Hadoop distro. Three months after the Hadoop 2.0-based release of HDP for Linux, the Windows [...]

[...] for evaluation or debug and testing of code written against HDP. For a more built-out single-node installation, Hortonworks makes available its HDP “Sandbox,” a virtual [...]

[...] random reads/writes are not a bottleneck on SSDs. On the other hand, most of our existing database technology is designed to store data in spinning disks, so the natural question is “can these [...]