To say the database market is evolving would be a gross understatement. New data types and sophisticated new analytic requirements, combined with increasing pressure to lower costs without sacrificing functionality is ushering in an era of great change and great opportunity in the database market.

Adoption of document databases is growing rapidly in response to the need for solutions that can handle large volumes of data. These solutions are adept at handling non-relational data models, but the distinction between database types (document, relational, key-value, etc.) is blurring. Organizations are making broad sweeps of data from multiple sources and storing it in single large documents for later analysis.

Smart organizations taking on a new project don’t try to go it alone – they recognize when outside help can provide the guidance needed to meet and exceed their objectives effectively. Rolling out and managing a Postgres deployment, for example, can represent a series of new challenges for an organization. Outside help can assist an enterprise maximize results and achieve optimal Return on Investment.

The explosion in data created by mobile devices, the Internet of Things and social media are causing governing bodies worldwide to find new ways to accommodate and harness information productively. Doing this requires the ability to scale data management infrastructure significantly as well as the agility to add to and adjust deployments nimbly to meet ongoing demands.

Recently, EDB significantly optimized locking mechanisms that improved scalability and performance in PostgreSQL 9.5. EDB further enhanced the locking subsystems to deliver even greater performance results with an improvement that was released with EDB Postgres Advanced Server 9.5.

Postgres supports a variety of data types that allow data architects to store their data consistently, enforce constraints through validation, maximize performance, and maximize space. Recently, I was asked to show someone how to store a UUID (Universally Unique Identifier) into Postgres by way of JPA (Java Persistence API).

Contributed by Gary Carter Organizations can reduce their database spend by 80% or more by deploying EDB Postgres in place of traditional database solutions like Oracle, according to calculations in a recent Gartner report. But while the benefit of redirecting money saved is often crystal clear, the risks associated with migrating databases prevent many organizations from trying. These risks...

The Dutch federal government completed a major overhaul last year of its public health care and services systems. In the overhaul, many of the organizational responsibilities of national systems were assigned to local providers. To handle the demands of myriad new responsibilities, many local governments had to build or implement new solutions.

The newest version of EDB Postgres Advanced Server® merges the recently released community version of PostgreSQL with EDB’s enterprise-class, open-source-based database. EDB Postgres Advanced Server is complete with additional performance, security and management capabilities.

Released January 7, the new PostgreSQL 9.5 ushered in a host of new features and capabilities that boost performance, scalability and data analytics productivity.