# Deephaven

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/deephaven
- **Dataset:** https://optimly.ai/brand/deephaven.json
- **Markdown:** https://optimly.ai/brand/deephaven/llms.txt
- **Official website:** https://deephaven.io
- **Slug:** deephaven
- **Categories:** data-analytics-business-intelligence

## Overview

- **Tagline:** Deephaven's query engine is purpose-built for fast real-time data, efficiently tracking changes to incrementally calculate results using live dataframes (deltas) instead of inefficient micro-batching. This approach enables millisecond response times for complex data, even under high throughput, while reducing hardware utilization. It supports a wide range of real-time workflows (analytics, apps, ETL) and provides full-stack capabilities with Python components for browser rendering.
Source: Brand's website (https://deephaven.io) · 2026-10-04

- **Description:** Deephaven is a new type of query engine and live dataframe platform purpose-built for processing fast real-time data incrementally, enabling millisecond response times for complex data analysis, transformation, and visualization at scale. It allows teams to easily analyze, transform, and visualize real-time data for data-intensive applications.
Source: Brand's website (https://deephaven.io) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Live Dataframes query engine
  - Barrage (Apache Arrow Flight extension
  - gRPC API)
  - jpy (Python-Java bridge)
  - Web Client UI (React-based IDE front-end)
  - VS Code Extension
  - Deephaven Express (Plotly wrapper)
  - Deephaven.ui (Python UI framework for data apps).
Source: Brand's website (https://deephaven.io) · 2026-10-04

- **Pricing:** Open-core (Community - Free, Enterprise - $200K - 2M+ USD/yr).
Source: Brand's website (https://deephaven.io) · 2026-10-04

## Audience

- **Target industry:** Teams creating data-intensive applications at scale, particularly in finance (e.g., bulge bracket banks, investment banks, commercial banks, hedge funds, crypto exchanges, stock exchanges, derivative players, quant funds). Also targets quants, data scientists, Java/Python data developers, and smaller companies. Enterprises seeking multi-user, clustered systems for analytics and autonomous applications.
Source: Brand's website (https://deephaven.io) · 2026-10-04

## Landscape

- **Competitors:**
  - Streamlit
  - Reflex
  - Dash
Source: Brand's website (https://deephaven.io) · 2026-10-04

Page last updated 2026-10-17.