CrateDB How-To Guides
CrateDB is a distributed SQL database that makes it simple to store and analyze massive amounts of machine data in real-time.
Note
This resource assumes you know the basics. If not, check out the Tutorials section for beginner material.
See also
This is an open source documentation project. We host the source code and issue tracker on GitHub.
- Deployment
- CrateDB and Linux
- CrateDB and containers
- CrateDB and cloud hosting
- Administration
- Rolling upgrade
- Full restart upgrade
- Bootstrap checks
- Clustering
- CrateDB multi-node setup
- CrateDB multi-zone setup
- Scaling CrateDB on Kubernetes
- Performance
- Memory configuration
- Sharding guide
- Insert performance
- Select performance
- Going into production
- Migrating from MongoDB
- Troubleshooting with sys-tables
- Troubleshooting with the
crate-nodecommand - Distributed Machine Learning At The Edge
- Integrations
- Data Ingestion using Kafka and Kafka Connect
- Data Stream Pipelines with CrateDB and StreamSets Data Collector
- Data Enrichment using IoT Hubs, Azure Functions and CrateDB
- CrateDB with R
- Reports with CrateDB and Power BI Desktop
- Real Time Reports with CrateDB and Power BI
- Distributed Deep-Learning with CrateDB and TensorFlow
- Troubleshooting
- Troubleshooting CrateDB on Docker with
jcmd
