This makes PostgreSQL extremely efficient when running deep, extensive data analysis across multiple data types. PostgreSQL supports a variety of performance optimizations typically found only in proprietary database technology, such as geospatial support and unrestricted concurrency. In larger database systems where data authentication and read/write speeds are essential, PostgreSQL is hard to beat. As such, PostgreSQL offers a number of benefits to developers looking to create highly scalable computing environments across their on-premise and cloud-based infrastructures. They work diligently to provide a battle-tested, best-of-breed relational database management system.įor a broader look at the state of databases today, see " A Brief Overview of the Database Landscape."Īfter more than two decades, PostgreSQL continues to be one of the most well-known and supported relational databases available. Expert developers and commercial enterprises who understand the limitations of traditional database systems heavily support PostgreSQL. Its versatile and approachable design makes PostgreSQL a “one-size-fits-all” solution for many enterprises looking for cost-effective and efficient ways to improve their database management systems.Built as an open source database solution (link resides outside ibm.com), PostgreSQL is completely free from licensing restrictions, vendor lock-in potential, or the risk of over-deployment. PostgreSQL is expandable and versatile so it can quickly support a variety of specialized use cases with powerful extension ecosystem, which covers things from time-series data types to geospatial analytics. Maintaining dynamic database systems is critical in today’s digital landscape, especially considering the rate in which newer technologies emerge. Today, PostgreSQL continues to evolve, maintained by a worldwide team that is passionate about regularly improving this free and open source database project.įor a closer look at PostgreSQL, check out " Database Deep Dives: PostgreSQL." In 1994, the project added support for SQL and, shortly thereafter, PostgreSQL came about. Originally developed in 1986 as a follow-up to INGRES (an open-source SQL relational database project begun in the early 1970s), POSTGRES, now known as PostgreSQL, was the brainchild of Michael Stonebraker, a computer science professor at Berkeley. This makes it one of the most compliant, stable, and mature relational databases available today. Unlike other RDMBS (Relational Database Management Systems), PostgreSQL (link resides outside ibm.com) supports both non-relational and relational data types. PostgreSQL, commonly pronounced “Post-GRES,” is an open source database that has a strong reputation for its reliability, flexibility, and support of open technical standards.
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