Read about the independent time series benchmark comparing CrateDB, MongoDB, and InfluxDB. Discover how CrateDB outperforms in ingest capabilities and complex ad hoc queries, making it a top choice for time series data.

CrateDB offers insights into distributed SQL database, IoT data management, and real-time analytics, providing documentation, tutorials, and best practices for deploying and scaling CrateDB in production environments. By exploring CrateDB's curated content, developers can learn about distributed query execution, data sharding, and replication strategies for building scalable and resilient database solutions. Whether you're collecting sensor data, analyzing log streams, or processing time-series events, CrateDB offers resources to handle high-volume, high-velocity data workloads and unlock the potential of distributed SQL databases.

CrateDB

CrateDB shows superior performance in the latest TSBS benchmark, outpacing MongoDB and InfluxDB in both ingestion and complex ad hoc query execution. Sponsored by an independent company, the benchmark validates CrateDB's capabilities with real-world time series workloads. CrateDB's unique indexing approach and high flexibility make it a strong contender in analytics and time series data. Offering a PostgreSQL-compatible SQL interface, it supports a wide range of use cases without needing proprietary query languages.

CrateDB vs MongoDB and InfluxDB