Time Series database for those who want to know "why" data is changing over time
Time series data processing is critically important to most IoT and machine data use cases. CrateDB scales to ingest and query millions of time series data points per second, but unlike single-purpose time series databases, CrateDB makes it possible to build richer analyses and share data with more concurrent users.
In a benchmark querying 314 million rows of sensor readings, CrateDB executed 10x more queries per second under load than InfluxDB.
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