A suite of supported, open source database operators that covers all your data needs, on any public or private cloud; from concept to production, offered by Canonical – the open source experts.
Free to use, Canonical’s solutions can be deployed in any environment without constraints, without paywall and with no restricted features. You can work with the popular technologies you already know, consistently and efficiently on any cloud – or on-premise.
Our software operators offer a unified experience to secure, deploy, manage and monitor your database, big data and streaming solutions. They help you to deploy your data platform directly to popular cloud infrastructure or any conformant Kubernetes. The software operators deliver enhanced productivity, improved governance and reduce the risks associated with shadow IT.
Learn more about deploying and using Canonical’s solutions for data at canonical.com/data.
Quickstart guides
You can get started with any Charmed database solution in half an hour or less, read the docs to get an advanced database infrastructure deployed, up and running in no time.
Key features
| Automatic resource provisioning | Automatic cluster deployments | Automatic failover and self-healing |
| Scale-{out,in} instances (even to zero) | Backup/restore to/from S3 compatible storage | Disaster Recovery ready blueprints |
| Automated minor version upgrades | Automatic config validation and tuning | User management |
| Certificate management | Encryption in transit | Full observability stack (metrics, alerts, logs) |
From big data to relational data, and everything in between
Scaling your data processing just got easier. Multi-cloud, open source data management with the elasticity of the public clouds and the governance of your own deployment. Train your team once to work anywhere.
Why industry professionals prefer data solutions from Canonical
- Maintenance: Canonical’s suite of popular open source data solutions offers up to ten years of maintenance per stable release track.
- Optional 24/7 support available, contact our team for more information.
- Optional fully managed services are available on the cloud or directly in your data centre. Contact us to find out more.
- Portability: Canonical’s open source data solutions can be deployed on popular cloud infrastructure including Amazon AWS, Microsoft Azure, Google Cloud, VMWare, OpenStack and any conformant Kubernetes.
Use proven relational databases to power your critical applications
Relational database management systems (RDBMS) have been powering applications across all IT sectors, for decades. Their success is rooted in their sound mathematical foundations and their versatility. RDBMS can cover many of your use cases including analytics, geospatial data handling, text and vector search and more without the need for additional, more specialised databases. At Canonical, we support the two most popular open-source databases:
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MySQL is the M in the famous LAMP stack for web applications and it is also known for its simple operation model. Learn more about Charmed MySQL.
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PostgreSQL is known for its excellent support of the SQL standard and for its versatility and extensibility. Learn more about Charmed PostgreSQL.
Build a cloud native data lake with Charmed Spark
The best way to build next generation data infrastructure ready to support demanding AI workloads. Learn more at canonical.com/data/spark
Document database for modern applications Modern applications require a highly scalable, flexible, and high-performance database, for which a NoSQL (non-relational database) can be ideal. Learn more about Charmed MongoDB.
Search engine, vector database and analytics suite in one
Charmed OpenSearch is a comprehensive search engine and analytics suite suitable for a wide range of use cases, from security information and event management to observability and generative AI.
An ecosystem for your data
The database operators include support for integration with a growing ecosystem of complementary, enterprise-ready software including Charmed automation. The ecosystem includes operators for deploying and operating open source platforms for AI like MLFlow, Kubeflow and KServe, enabling you to get even more from your data.