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# CrateDB Documentation
# Welcome to CrateDB!

Documentation overview for CrateDB and CrateDB Cloud.
<br>
Reference manuals, tutorials, example code, and more.
CrateDB is designed to handle your demanding analytics and search workloads with
ease. Here you'll find comprehensive resources including reference manuals,
tutorials, example code, and more.

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Happy learning and building with CrateDB!

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:class-title: sd-fs-5

CrateDB Cloud is a fully managed, terabyte-scale, and cost-effective analytics
database that lets you run analytics over vast amounts of data in near real time,
even with complex queries.
Discover our fully managed, scalable SQL database designed for
real-time search and analytics. It supports fast analytics applications with
real-time indexing of time-series, JSON, vector, text, and geo data. Perform
near real-time analytics on vast data sets with complex queries and streamline
data management across multiple cloud providers.

CrateDB Cloud is an SQL database service for enterprise data warehouse workloads,
that works across clouds and scales with your data.
[Get started now!](https://cratedb.com/docs/cloud/tutorials/quick-start.html)
:::

:::{grid-item-card} {material-outlined}`auto_stories;1.7em` Database Manual
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:::{grid-item-card} {material-outlined}`auto_stories;1.7em` Reference Manual
:link: cloud-docs-index
:link-type: ref
:link-alt: CrateDB Cloud
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:class-title: sd-fs-5

CrateDB is a distributed and scalable SQL database for storing and
analyzing massive amounts of data in near real-time, even with complex queries.
It is PostgreSQL-compatible, and based on Lucene.

CrateDB is an open source multi-model database for time series, documents
and vectors, combining the simplicity of SQL with the scalability of a
distributed architecture.
:::

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Want to dive deep into CrateDB? Explore our comprehensive reference manual.

At the core of CrateDB Cloud sits CrateDB, our open-source, distributed, and
scalable SQL database system designed for storing and analyzing massive amounts
of data in real-time, even with complex queries.

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Based on Lucene, CrateDB supports time series, documents, and vectors, combining
the simplicity of SQL with the scalability of a distributed architecture
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:::{grid-item-card} {material-outlined}`link;1.7em` Client Libraries
:link: https://cratedb.com/docs/crate/clients-tools/en/latest/connect/
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which ensures that many clients that work with PostgreSQL, will also work with
CrateDB. Through corresponding drivers, CrateDB is compatible with [ODBC],
[JDBC], and other database API specifications.

:::

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