![]() It’s completely free, and anyone can modify it to their liking, if they know-how.īut PostgreSQL doesn’t care if you know how to use it or not. PostgreSQL is open-source, which means that it’s maintained by a non-profit community. You can download and use Postgres for any app, in any way, for any amount of time. The best thing about Postgres? It’s free, with absolutely no limitations. If someone accidentally tries to upload their Die Hard fanfiction instead of the weekly sales numbers, Postgres won’t let them. Postgres is strict about data integrity and reliability. It’s gotten more powerful and flexible with age, so it can be used for many different needs. Postgres is a relational database that’s been around since 1996. You can’t discuss free databases without talking about PostgreSQL, also known as Postgres. Full scalability and security features require a paid license.Ĭloud: Starts at $0.50/hour plus usage-based pricing The free edition is generous, but slightly limited. You have straightforward data needs but cannot accept downtime. Customers can pay extra for dedicated onboarding, support, and extra features.Ītlas: Free to start, $57/month plus usage fees for full features You need to build for enterprise-level scalability with high performance.įree with no restrictions, but requires tech know-how. You want a friendly interface that can flex to several data needs.Ĭloud: Free to start, usage-based pricing You need to do heavy-lifting data analysis on data with complex relationships.įree onsite edition has limited scalability.įree cloud tier deletes inactive databases after 90 days.Įnterprise: free trial, pricing via quote You want an unlimited free solution with decades of community support.Įntirely free with no restrictions, but requires tech know-how. Plus, if we tried to cover every free database, this article would never end. Instead, we focused on some more niche options. They’re heavily used, and their pros and cons are widely debated. We deliberately left out some well-known database applications like Microsoft SQL Server, Oracle Database, MariaDB, and MySQL. They’re great for complex data analysis, but a bit overkill for simple information storage.įor the curious who want to learn more, check out this explainer for a more thorough breakdown of these and other database types. Graph databases can contain billions of nodes and trillions of relationships, like neurons in a brain. A node is a single piece of data, and a relationship points from one node to another node. Graph databases store information as nodes and relationships. They’re more flexible, but they’re easier to misuse. Unlike SQL databases, document databases don’t need strict predefined rules. An object can also contain links to other objects. Non-relational databases are collectively called NoSQL databases.ĭocument databases store data in chunks, called “objects” or “documents.” Each object is a bundle of related data, like a user’s profile or a product. Developers use SQL (Structured Query Language) to create and use these databases. The schema keeps data firmly organized and separate. These databases need a schema-a set of very strict rules-to define each table. Relational databases store data in tables, similar to an Excel spreadsheet. ![]() Here’s a simple explanation of each type: We chose databases from three broad categories: relational, document, and graph databases. If you’re absolutely unfamiliar with databases, this video is a great introduction to get you started. We selected five contenders with unique advantages: Understanding the functionality and limitations of the best free database management tools will help you make the right decision. But the bounty is real! When you need safe, reliable data management, chances are there’s an open-source or free solution that will fit your needs. In a world dominated by Microsoft, Oracle, and Amazon, it’s easy to overlook the bounty of free database management tools.
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