Summary

There are lots of NoSQL databases that can store non-relational data for big data applications built with Flask 3.x. Flask can PUT, GET, and SCAN data in HBase using HDFS, access the Cassandra database, execute HGET an HSET with Redis, perform CRUD operations in Couchbase and MongoDB, and manage nodes with Neo4J. Although there are changes in some support modules, such as in flask-mongoengine, because of the transformations in the Flask internal modules (for example, the removal of flask.json), Flask can still adapt to other Python module extensions and workarounds to connect to and manage its data, such as using the FastAPI-compatible Redis OM.

In general, this chapter showcased Flask’s compatibility with almost all the efficient, popular, and widely used NoSQL databases. It is also a Python framework that’s fit for building big data applications for many enterprises and scientific development because it supports many NoSQL storages.

The next chapter is...