If you need an SQL database, then you can go with PostgreSQL. Otherwise, if you need a distributed database for modern analytical applications, then MongoDB will be the best option.
PostgreSQL is useful when you need high-level security, and you predict the scale in terms of queries. Further, it enables you to store large-scale data securely. On the other hand, MongoDB deals with unstructured data storage.
Both are popular databases and vary in terms of various benchmarks. Regarding data warehousing and analysis, PostgreSQL performs much faster than MongoDB. In terms of the relational data model and inserting raw data into the system, MongoDB is the best option.
When it comes to working with large data sets along with complex queries, PostgreSQL works much better. So, it is the best choice for Big Data analysis.
PostgreSQL is the best database to work with Big Data sets, and it will release a new version 16 in 2023. Also, it is an advanced RDBMS with open-source availability that is less prone to data errors.