What's inside


If you're suffering from low memory, poor performance, or difficult maintenance, you’re experiencing the common pitfalls of using MongoDB for large-scale IoT projects.

This migration starter kit will tell you everything about it, including:

  • An article on our experience as developers working with both MongoDB and CrateDB.
  • A fact sheet about technical features of MongoDB and CrateDB.
  • A white paper comparing how much it costs to run the same IoT use-case with different vendors. Hint: The inefficient indexing of MongoDB can lead to a price 3x as expected.

Better performance for less price

In a proof-of-concept prepared for one of our industrial IoT customers, CrateDB Cloud was tested against MongoDB Atlas. Querying 1 TB of data (8 billion records) over a 3h period, CrateDB outperformed MongoDB in both load and speed… And CrateDB was 80% cheaper.

Why not TimescaleDB or InfluxDB?

Databases designed to exclusively handle time-series data won’t solve your scalability problems, as they are conceived as single-node. They don’t provide good performance in use-cases with high ingestion and concurrent clients, and they often need to be combined with a relational database.

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What we've heard from customers:

"MongoDB is a good fit for storing documents, but it was the wrong technology for my IoT use-case at scale. In other words: MongoDB is like a Swiss Army knife —but what are you going to do with a Swiss Army knife when you have to change a flat tire on the side of the road?"

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CrateDB vs others

Visit our website and find out more about how CrateDB compares to other databases

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Migration tool

From MongoDB to CrateDB

Ready to move your data to CrateDB? This migration tool will make the job easier

Go to Github
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