Can we use MongoDB as data warehouse?

Can we store data in MongoDB?

In MongoDB, data is stored as documents. These documents are stored in MongoDB in JSON (JavaScript Object Notation) format. JSON documents support embedded fields, so related data and lists of data can be stored with the document instead of an external table.

Can MongoDB be used for OLAP?

MongoDB released the MongoDB connector for BI, which acts as a MySQL server on top of MongoDB data. It means you can use ROLAP (Relational OLAP) engines, such as Cube. js , with it.

Could a NoSQL database be used as a data warehouse?

Data Warehouses have very little in common with NoSQL - the main similarity is that any two data warehouses can have very different philosopohies or conventions just like any two NoSQL systems can be nearly unrelated. The only concept they share is that they are both used to analyze large amounts of data.

Which database is best for data warehouse?

Key takeaway: Oracle Database is best for enterprise companies looking to leverage machine learning to improve their business insights. Oracle Database offers data warehousing and analytics to help companies better analyze their data and reach deeper insights.

Can database be used as data warehouse?

A data warehouse is a database of a different kind: an OLAP (online analytical processing) database. A data warehouse exists as a layer on top of another database or databases (usually OLTP databases).

Can we use MongoDB as backend?

As a backend developer, you can use MongoDB Realm to rapidly develop cloud-based applications. Realm apps can react to changes in your MongoDB Atlas data, connect that data to other systems, and scale to meet demand.