PGCon 2013

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PostgreSQL on Hadoop

Bridging the Divide with Distributed Foreign Tables

Apache Hadoop is an open-source framework that enables the construction of distributed, data-intensive applications running on clusters of commodity hardware. Building on a foundation initially composed of the MapReduce programming model and Hadoop Distributed Filesystem, in recent years Hadoop has expanded to include applications for data warehousing (Apache Hive), ETL (Apache Pig), and NoSQL column stores (Apache HBase). In this talk we describe recent work done at Citus Data that makes it possible to run a distributed version of PostgreSQL on top of Hadoop in a manner that combines the rich feature set and low-latency responsiveness of PostgreSQL with the scalability and performance characteristics of Hadoop.

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