As data proliferates in modern organizations, the technologies we use to store this data have considerably evolved recently.

This explains the recent explosion in the past few years of data storage and data warehousing tools. This new trend is not going to stop, and we'd rather bring visibility and structure soon.

At CastorDoc, we believe the first step to structure the data storage tools market, is more transparency. For that reason, we put up a list of all the data storage tools we heard of.

<aside> 💡 This list is still exploratory, may contain errors, or lack information. Please reach out to us, if you notice anything wrong: [email protected]

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Get started with data storage tools

<aside> 📢 In-depth analysis and evolution Read the full breakdown by generation and market analysis of data quality here.

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Deep dive in data storage tools

• What does each column in the benchmark below mean?

Data storage benchmark and key features

Additional Comparison and Benchmark Resources

<aside> 💡 An in-depth comparison between Snowflake, Redshift, and Big query

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<aside> 🏠 An in-depth comparison between **Clickhouse, PostgreSQL, and TimescaleDB.**

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<aside> 🍷 Detailed comparison ****between ClickHouse, Druid, and Pinot

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