![]() ![]() ![]() MongoDB shines as a consistency and partition tolerant document store while PostgreSQL focuses on consistency and availability. You can have as many nodes as needed in a sharded cluster with MongoDB, and PostgreSQL has no limit on database size. There are numerous extensions to choose from to achieve scalability with PostgreSQL. Scaling is inherently built into MongoDB, but with PostgreSQL an extension is required to add that capability. For those with long-term data storage needs, MongoDB performs well with online applications that have very large data stores where data is required to be kept for years. But in comparing JSON operations between PostgreSQL and MongoDB, there are benchmarks that show an advantage for both databases. Various benchmarks have shown that PostgreSQL outperforms MongoDB for data warehousing and data analysis workloads. In comparison, the maximum BSON document size is 16 megabytes in MongoDB, and in PostgreSQL the maximum row size is 1.6 terabytes. ![]() MongoDB has a rich set of data types which include String, Numeric, Boolean, Min/Max keys, Arrays, Timestamps, Object, Null, Symbol, Date, Object ID, Binary, Code, and Regular Expression. PostgreSQL has a numerous selection of data types which include Boolean, Character, Numeric, Temporal, UUID, Array, JSON, key-value pairs, and special types such as network address and geospatial data. In our Decision Maker's Guide to Open Source Databases, we provide battlecards for the top open source databases available today - including insights from our database experts.Äownload the Guide PostgreSQL vs. Download Our Guide to Open Source Databases In the sections below, we take a closer look at specific areas, including data types, performance, scalability, consistency, availability, and security. The chart below shows a high-level PostgreSQL vs. PostgreSQL and MongoDB have a number of similarities, despite being fundamentally different in the way they approach data. MongoDB - two of the most popular open source databases in use today. For enterprise organizations switching to an open source database, understanding the benefits and weaknesses of that database is key. ![]()
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