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Release Database Ranking

Wow! Publicly available performance numbers for databases in a ranking!

Yes, we did it!

All information about this release can be found here!

First Open Data Database Ranking

The number of existing database management systems (DBMS) and database-as-a-service offerings is constantly growing.

The technical differences in terms of performance and scalability for different workloads, scaling sizes and purposes is huge.

But often unknown!

For this reason, we have taken measurements and published them in a structured table - this is our database ranking!

The first version contains the following content:

  • Databases
    • Apache Cassandra (NoSQL)
    • CockroachDB (NewSQL)
    • Couchbase (NoSQL)
    • MongoDB (NoSQL)
    • MySQL (SQL)
    • PostgreSQL (SQL)
  • DBaaS
    • MongoDB Atlas (NoSQL)
    • AWS RDS for PostgreSQL (SQL)
    • MS Azure Database PostgreSQL (SQL)
  • Cloud Provider
    • AWS
    • MS Azure
  • Workload
    • CRUD: General Purpose (50% Read / 50% Write)
  • In up to 5 scaling sizes in terms of cluster size, VM size and workload size.

This content will be expanded from week to week.

benchANT Database Ranking

Voices of the benchANT Co-Founders

Dr. Jörg Domaschka (Co-Founder & CEO): "With this ranking, we provide software architects with an initial source of information to orient themselves in the jungle of database and DBaaS offerings. We hope that with these performance values a first rough restriction of suitable technologies is possible."

Dr. Daniel Seybold (Co-Founder & CTO): "The database ranking really only serves as a first rough pre-selection. However, concrete performance measurements with the individual workload of the application should definitely be carried out on this basis in order to obtain reliable results. The cloud offering also has a direct influence on performance here and should be considered and measured together!"

Jan Ocker (Co-Founder & CGO): "Currently we see that decision processes for databases are often based on "random googling". It is rare to find the best and most efficient technical solution for your specific application this way. We hope that in the future, many more technical decisions will now be data-driven."