Can MongoDB be used for OLAP?

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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.

Is NoSQL good for OLTP?

Relational databases are designed for transactional and strongly consistent online transaction processing (OLTP) applications and are good for online analytical processing (OLAP). NoSQL databases are designed for a number of data access patterns that include low-latency applications.

Can we use MongoDB for OLTP?

MongoDB is designed for OLTP workloads, so more transactional, online, realtime workloads. People definitely do use it for batch processing, and it works okay in those areas, but it’s really designed for OLTP. Where you’ve got a user, or a system, that is working with it in realtime.

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What is the best OLAP data warehouse?

Kylin is extremely fast, so it can be used to complement some of the other databases like Hive for use cases where performance is important such as dashboards or interactive reports, it is probably the best OLAP data warehouse but it is more difficult to use, another problem is that because of the high dimensionality, you need more storage.

What are the advantages of NoSQL database?

NoSQL database help one develop and deploy the application that should manipulate billions of data (events, content and users using flexible data schema) Archiving Data: if one wants to archive data and keep them available to the user, NoSQL databases can help you. First of all, one can store and access a huge volume of data when stored in NoSQL.

What is the best database to use for otlp?

It is quite fast, faster than using Drill or other query engine. You may use any massive scale database outside the Hadoop ecosystem such as Cassandra, YugaByteDB, ScyllaDB for OTLP. Finally, it is very common to have a subset of the data, usually the most recent, in a fast database of any type such MongoDB or MySQL.

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Can Hadoop be used for OLTP queries?

Although, Hadoop is optimized for OLAP there are still some options if you want to perform OLTP queries for an interactive application. HBase is has very limited ACID properties by design, since it was built to scale and does not provides ACID capabilities out of the box but it can be used for some OLTP scenarios.