Data & AI solutions
that do the heavy lifting for you

A data warehouse is your central repository for storing and managing structured and semi-structured data. With our multi-cloud PostgreSQL automation solution, you can build a secure and highly available system to efficiently analyze terabytes of data. You can also integrate multiple data feeds through our native Kafka® support.

A data lakehouse combines the capabilities of a data warehouse with the flexibility to handle raw and unstructured data. With our built-in integrations spanning Kafka, Spark®, Kyuubi, OpenSearch, and beyond, we help you build a cost effective, open source platform to manage petabytes of data — ideal for your next AI/ML use cases.

Our event streaming blueprints enable you to build a low-latency, cost-effective, and highly-scalable platform to analyze your data in real-time while ensuring the durability of your data and messages. With our unified automation solution, you can integrate Kafka, PostgreSQL, MySQL, OpenSearch, MongoDB, Spark, and more using the same control plane.

Whatever your use case, we have you covered. With our pg_vector extension for PostgreSQL, you can experiment with vector search using your CPU’s built-in accelerators, without the need to duplicate your data or invest heavily in GPUs. Alternatively, you can use our OpenSearch solution to optimize your vector and hybrid search use cases via GPU acceleration.

MLOps is the key to bringing AI projects to production at scale. Canonical delivers an open source MLOps platform based on Charmed Kubeflow, designed to automate your machine learning workflows and seamlessly integrate with a wide array of leading ML tools.

Stay on top of your application performance with open source monitoring tools and dashboards. We provide security and support for a comprehensive collection of best-in-class observability solutions including Prometheus, Grafana, OpenTelemetry, and more.

Retrieval augmented generation (RAG) is the leading method for enhancing the accuracy and relevance of LLM outputs – and you can easily use Canonical’s Charmed OpenSearch as your open source vector database to enable RAG capabilities.

Let us take care of deploying your open source databases. Accelerate your AI initiatives with MLOps design, deployment, and operation services. We’ll run an AI workshop with you to translate your business and technical requirements into a bespoke machine learning environment.

Canonical delivers Managed Services across the data and AI application ecosystem. You focus on your core business, and we’ll handle operations for your databases, MLOps, and data processing.