Deephaven
deephaven.ioThe best way to work with live data at scale.
Data & Analyticsreal-time-datadataframesstreaming-analyticsquery-enginepythonkafkaopen-core
About
Deephaven is a real-time query engine built around "live dataframes" — a column-oriented, incremental data processing abstraction that updates based on deltas rather than micro-batching. It supports a wide range of data sources including Kafka, Parquet, Iceberg, and custom feeds, and exposes polyglot APIs in Python, Java, Go, JavaScript, and more. The platform is used primarily by large financial institutions for demanding streaming analytics, data apps, and ETL pipelines.
Problem
Most query engines are built for batch data and struggle with the speed, complexity, and scale required by real-time streaming workloads.
For
Data engineers and quant/finance teams building data-intensive real-time applications at scale
How it works
Deephaven builds a directed acyclic graph (DAG) for each query and propagates only data changes (deltas) through the graph incrementally, enabling millisecond-latency results even under high throughput.
Business model
freemium
Status
launched
Company
Deephaven Data Labs