Learn Deephaven

Deephaven Community Core is a real-time, time-series, column-oriented query engine with relational database features. Read the overview for a more detailed introduction.

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0. Get Started

Use our tutorial to learn Deephaven. Set up your Docker environment with one command to install Deephaven from pre-built images.

Need help? Ask a question onGithub DiscussionsorSlack.

How-to guides

134 articles

Step-by-step guides to help you achieve a specific goal. Most useful when you're trying to get something done for the first time.

Popular guides

• Use filters
• Group and ungroup data
• Write and read Parquet files
• Import from Kafka
• Install Python packages

Conceptual guides

22 articles

Clear explanations of core concepts to improve your fundamental understanding of Deephaven building blocks. Most useful for gaining mastery of a topic.

Important concepts

• Deephaven overview
• Core API features
• Table update model
• Docker data volumes

Reference guides

304 articles

Technical descriptions of how Deephaven works, with examples. Most useful when you need detailed information about a specfic Deephaven API. For those needing deeper technical documentation, you can also refer to our API documentation generated from source.

API documentation

• Pydoc (Python client)
• Pydoc (Python server)
• Javadoc (Java client/server)
• Godoc (go client)
• C++ (client)
• C++ (examples)

Cheat sheets

9 articles

Short snippets and example queries. Most useful to keep open in a browser tab while first learning to write queries.

Useful cheat sheets

• Table operations
• Data import/export