Deephaven Community Core
Deephaven Community Core is a real-time, time-series, column-oriented query engine with relational database features. Queries can seamlessly operate upon both historical and real-time data. Deephaven includes an intuitive user experience and visualization tools. It can ingest data from a variety of sources, apply computation and analysis algorithms to that data, and build rich queries, dashboards, and representations with the results.
Why Deephaven?
Serious performance
Engineered to track table additions, removals, modifications, and shifts, users benefit from Deephaven’s highly-optimized, incremental-update model. A chunk-oriented architecture delivers best-of-class table methods and amortizes the cost of moving between languages.
Client-server interfaces are designed with large-scale, dense data in mind -- moving compute to the server and providing lazy updates.
Build, join, and publish streams with ease
Build streams on streams to empower applications and do analysis. Use table operations or marry them to custom and third-party libraries. Query and combine batch and real-time data.
Highly intuitive
New data and events seamlessly arrive as simple table updates. Queries establish an acyclic graph, with data logically flowing to downstream nodes. Simply name a source or derived table to make it available to clients via multi-language APIs. Use easy methods to stripe and pipeline workloads.
Familiar & powerful tools
Leverage gRPC and Arrow. Use Visual Studio Code, Jupyter, or JetBrains. Bring your custom or 3rd-party libraries and functions to the data for faster and well-integrated execution. Enjoy the data interrogation experiences of our web Code Studio, with dynamic dashboards and an evolving suite of capabilities.
What can you build with Deephaven?
Use one of the following example apps or starter projects to get started quickly:
- Inherit Kafka streams as updating tables. A demo of two ways to consume events.
Use the interactive demo - Combine streaming feeds with Python. A machine that uses Twitter and colors to solve WORDLE.
Watch the video - Drive UX with web-scraped content. A dashboard for live sports betting lines.
See project's GitHub - Build apps with real-time data. A stock monitor using Redpandas & DX-Feed.
Read blog linked to code - Do AI in real time. Dynamic unsupervised learning to detect fraud.
Read blog linked to code - Source ticking data from custom APIs. A framework for trading via Interactive Brokers.
See project's GitHub - Interoperate with your tools. A PlugIn demo for matplotlib.
Watch the video - Pull data from REST APIs. An integration with Prometheus.
Read blog linked to code