CrateDB in Comparison
How the simply scalable SQL database CrateDB compares to NoSQL, NewSQL, Time Series, and others.
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flexibility and scalability of NoSQL
CrateDB is a distributed SQL database built on top of a NoSQL foundation (for storage, indexing, and networking), and it’s a best fit if you need:
To ingest a fire hose of data
Millions of inserts per second
Query versatility
Real-time, time series, geospatial, text search, AI, …
Data versatility
Dynamic schemas of structured or unstructured data
SQL
For ease of use and integration with no lock-in
Simple scalability
Grow the DB easily to handle more data or users
Industrial time series
Better price-performance and analytics for smart factories than InfluxDB, Timestream, and others.
CrateDB in Comparison to other Databases
Here’s a high-level comparison of CrateDB versus other database categories:
Capability |
CrateDB |
NoSQL |
Traditional SQL |
Time Series |
|---|---|---|---|---|
| Fire hose of data |  |
|
– | |
| Query versatility | |
– | – | – |
| Data versatility | |
|
– | – |
| SQL | |
– | |
Varies |
| Simple scalability | |
|
– | – |
| IoT Integrations | |
– | – | Varies |
CrateDB vs. PostgreSQL Query Performance
In a benchmark querying 314 million rows of sensor readings, CrateDB provided 33x better price-performance than PostgreSQL.
CrateDB Comparison Resources
CrateDB, MongoDB and Cassandra
Learn how CrateDB data model and querying capabilities compare with MongoDB and Cassandra.
CrateDB versus Traditional RDBMS
Learn how CrateDB compares to traditional RDBMS like Oracle, SQL Server, MySQL, and PostgresSQL.
CrateDB vs. Time Series Databases
Learn about functional differences between CrateDB time series and databases like InfluxDB.
CrateDB vs. Elasticsearch
Let us guide you through the differences in the CrateDB and Elasticsearch experience.