White Paper

The cost of running MongoDB, TimescaleDB and CrateDB for industrial IoT


When comparing database costs, it is essential to look beyond the monthly price listed by the different vendors. There can be surprises… Especially if your use case fits into the industrial IoT category.

Industrial IoT use cases are demanding from the dataset point of view. They require scalability and to process real-time queries under concurrent loads. For a database not optimized for the use case, it cannot be easy to keep up, and the price can rise considerably.

We run a benchmark comparing the cost of three databases: MongoDB, TimescaleDB, and CrateDB. The use case: Industrial IoT. Our virtual customer had factories worldwide, with 5,000 sensors ingesting 6 billion rows of data.

The question: how much does it cost to run this use case with the three databases?

We present the results in this white paper.

It includes


Initial summary


Characteristics and general pricing of the three databases


The use case: dataset and queries


Results: comparing the monthly costs of the three databases

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