Why PostgreSQL should power GPU databases and analytics platforms

A turbo-charged version of PostgreSQL uses GPUs to massively accelerate what the popular database already does so well.

Within the world of SQL, the lingua franca of data-processing, PostgreSQL leads the field as an open source version. And for good reason. PostgreSQL is one of the most powerful platforms and enterprise-ready open source versions available.

Not only is PostgreSQL the fourth most popular database currently in use, according to DB Engines, its popularity is growing faster than any other database in the top 10, including MongoDB and Elasticsearch.

To list just a few of the more widely used features and benefits of PostgreSQL:

  • It’s SQL compliant, SQL extensible and subquery supported
  • It supports a variety of procedural and scripting languages
  • It is easy to use and easy to administer
  • It has an extensive range of data connectors including ODBC and JDBC
  • It is highly extensible with support for full text research and geo-location support
  • It has multiple NoSQL like features for document (JSON) or key-value based use cases
  • PostgreSQL has a very active user community

To top all of that, PostgreSQL’s popularity is boosted again by the fact that it can directly access third-party data sources like Oracle, MySQL, MongoDB and many others. It is this capability of easily interacting with multiple existing data sources that makes the enterprise firms that have multiple data sources love PostgreSQL.

[ Related: How Open-Source GPUs Could Speed Deep Learning, Big Data Analytics ]

It’s no wonder, then, that many applications today run on PostgreSQL – from CRM solutions like Salesforce to financial accounting applications like LedgerSMB. From Google and VMware to Apple and Skype, PostgreSQL has powerful friends.

All of that is, of course, great, but what many do not know is that there is now a turbo-charged version of PostgreSQL available that uses…

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