Question: Is PostgreSQL faster than MongoDB?


Determining whether PostgreSQL is faster than MongoDB involves various factors, as the performance of a database can greatly depend on the specific use case, data model, workload, and system environment.

Performance Comparison

Data Structure and Query Type

MongoDB, being a NoSQL database, is optimized for high write loads and horizontal scaling. It stores data in a JSON-like format (BSON), which allows for flexible schemas. This makes it generally faster for unstructured data or when dealing with large volumes of data that do not require complex joins or transactions.

PostgreSQL, on the other hand, is a relational database management system (RDBMS) that uses SQL for querying. It excels in scenarios requiring complex queries, data integrity, and accuracy. Its performance is robust in handling complex joins, subqueries, and transactional operations due to its maturity and features like indexing, concurrency control, and sophisticated query optimizer.

Use Case Scenarios

  • Document Stores: MongoDB might be faster when used as a document store where documents are independent and do not require transactional consistency across updates.
  • Data Integrity and Complex Transactions: PostgreSQL would typically perform better in applications requiring complex transactions or when data integrity is critical, as it supports ACID properties more comprehensively.


Both databases support indexing, but PostgreSQL offers a more diverse set of indexing options (B-tree, hash, GiST, SP-GiST, GIN, and BRIN), which can provide significant performance advantages in query speed over MongoDB, especially in complex queries.


MongoDB is often praised for its 'scale-out' architecture, using sharding to distribute data across multiple servers. PostgreSQL traditionally scales vertically, but it can also scale horizontally with extensions like Citus, which allow it to shard data across multiple nodes.


The answer to whether PostgreSQL is faster than MongoDB depends heavily on the application requirements:

  • For applications requiring flexibility in schema design and high throughput for simple read and writes, MongoDB might offer better performance.
  • For systems needing to handle complex queries and ensure strong data integrity, PostgreSQL may provide superior performance.

Ultimately, the best approach often involves evaluating both databases under real-world conditions similar to your particular use case.

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