GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
CrateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing.
Good fit when
- - When you require a SQL-compliant database with the flexibility of distributed architecture that can scale horizontally.
- - Preferably for use cases involving Big Data analytics where near real-time querying is necessary, such as Industrial IoT or OLAP scenarios.
Avoid when
- - Avoid if your application environment strictly mandates a specific type of database that isn’t PostgreSQL-compliant, and requires custom integrations.
- - Not suitable for applications needing absolute transactional guarantees with strict ACID compliance at the expense of performance.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/crate/crateHow it fits your stack(4)
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Evidence and technical details
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Overview
CrateDB is a PostgreSQL-compatible, distributed SQL database that supports near real-time analytics on massive datasets, suitable for complex queries. Built on Lucene, it's compatible with Elasticsearch and adept at handling time-series data.
Capability facts
- Languages
- java
Source: github.language · Sep 20, 2026
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README
.. image:: docs/ static/crate logo.svg :alt: CrateDB :target: https://cratedb.com .. image:: https://github.com/crate/crate/actions/workflows/main.yml/badge.svg :target: https://github.com/crate/crate/actions?query=workflow%3A%22CrateDB+SQL%22 .. image:: https://img.shields.io/ba...
For agents
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