Developers love NoSQL databases. They say the solutions are flexible, easy-to-use and fast-to-deploy. Part of that speed comes from not having to wait on database administrators to create tables for new apps.
Unfortunately, the conveniences developers get out of NoSQL cause headaches for DBAs. They complain NoSQL solutions don’t comply with corporate standards, can be difficult to integrate in primary systems, require a different set of skills and tools to administer, and create data silos throughout their organizations.
Aligning these two cornerstone populations of the enterprise IT infrastructure requires a single database that satisfies the demands of both. The database must have the flexibility to work with unstructured and semi-structured data. But it needs to adhere to the industry’s standards of Atomicity, Consistency, Isolation and Durability (ACID) and support relationships among data, which are almost always required when an application matures.
That database is today’s Postgres. With JSON document support along with key/value capabilities, Postgres, the world’s most advanced open source relational database, supports unstructured and semi-structured data types as well as programming methods common to many NoSQL products. It does all this while preserving ACID compliance and centralized business processing rules and logic for easy maintenance.
Advances in Postgres to support unstructured data, and EnterpriseDB’s contributions to these and other technologies, have propelled EnterpriseDB forward in the database market. Gartner recently named EDB a market leader in its 2015 Magic Quadrant for Operational Database Systems. View this report and find out more about EDB and Postgres.

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