PostgreSQL
Discover reviews, stacks, and more for PostgreSQL.
About PostgreSQL
PostgreSQL is an efficient, free-of-charge object-relational database management system aimed at being used by developers, startups, businesses, and any organizations that need high performance, stability, scalability, and high-quality data management.
PostgreSQL is often considered one of the most sophisticated SQL database systems available for open source usage. It provides support for complex querying, transactions, indexing, JSON document storage, full text search, geo-spatial data and many other functionalities.
PostgreSQL is used to build websites, SaaS platforms, API services, cloud-based applications, big data systems, and various enterprise-class applications. The high ACID compliance and extensibility features made PostgreSQL a popular choice for building modern applications.
Supporting both relational data and NoSQL-like JSON documents along with the other database features, PostgreSQL is a perfect replacement for commercial databases such as Oracle Database and Microsoft SQL Server.
It is common for developers to use PostgreSQL along with other programming frameworks like Node.js, React, Next.js, .NET Core, Python Django, Java Spring Boot, and PHP Laravel to create powerful applications.
Whether it is a startup project or an enterprise system, PostgreSQL offers you a powerful yet flexible database platform at affordable prices.
Why we love it
- Free open source database
Very secure with ACID compliant transactions. - Ability to run advanced SQL queries and process data.
- JSON/JSONB support for use in developing new applications.
- Scalable for small to enterprise level applications.
- Data is very secure as there are provisions for authentication.
- Supports various indexing methods to speed up queries.
- Largely supported by the development community.
- Runs on major clouds and development frameworks.
- Very flexible and customizable through extensions and plugins
Considerations
- More complex installation and configuration when compared to easy databases.
- Needs expert database administrators for performance optimization.
- Increased memory utilization for larger workloads.
- Tuning of performance can be difficult for beginners.
- Third party software is more supportive for MySQL than for PostgreSQL.
- Horizontal scalability needs some planning.
Database migrations can take considerable time.
Compatibility
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