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fixup! improve README, move bulk of info to main CrateDB docs

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Naomi Slater 2017-05-17 11:46:12 +02:00
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# What Is CrateDB? # What Is CrateDB?
[CrateDB](github.com/crate/crate) is a distributed SQL database that makes it simple to store and analyze massive amounts of machine data in real-time. [CrateDB](http://github.com/crate/crate) is a distributed SQL database that makes it simple to store and analyze massive amounts of machine data in real-time.
Features of CrateDB: Features of CrateDB:
- Standard SQL plus dynamic schemas, queryable objects, geospatial features, time series data, first-class BLOB support, and realtime full-text search. - Standard SQL plus dynamic schemas, queryable objects, geospatial features, time series data, first-class BLOB support, and realtime full-text search.
- Horizontally scalable, highly available, and fault tolerant clusters that run very well in virtualized and containerised environments. - Horizontally scalable, highly available, and fault tolerant clusters that run very well in virtualized and containerised environments.
- Extremely fast distributed query execution. - Extremely fast distributed query execution.
- Auto-partitioning, auto-sharding, and auto-replication. - Auto-partitioning, auto-sharding, and auto-replication.
- Self-healing and auto-rebalancing. - Self-healing and auto-rebalancing.
- CrateDB offers the scalability and flexibility typically associated with a NoSQL database and is designed to run on inexpensive commodity servers and can be deployed and run across any sort of network. From personal computers to multi-region hybrid clouds. - CrateDB offers the scalability and flexibility typically associated with a NoSQL database and is designed to run on inexpensive commodity servers and can be deployed and run across any sort of network. From personal computers to multi-region hybrid clouds.
The smallest CrateDB clusters can easily ingest tens of thousands of records per second. And this data can be queried, ad-hoc, in parallel across the whole cluster in real time. The smallest CrateDB clusters can easily ingest tens of thousands of records per second. And this data can be queried, ad-hoc, in parallel across the whole cluster in real time.
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Read more: Read more:
- [Getting Started With CrateDB on Docker](https://crate.io/docs/install/containers/docker/) - [Getting Started With CrateDB on Docker](https://crate.io/docs/install/containers/docker/)
- [CrateDB Docker Best Practices](https://crate.io/docs/reference/best_practice/docker.html) - [CrateDB Docker Best Practices](https://crate.io/docs/reference/best_practice/docker.html)
## Issues ## Issues