Real-time thinking

Our latest posts on computer science, use cases, and everything Deephaven

Building scalable real-time systems: Understanding Deephaven's client-server architecture

A practical guide to architecting distributed data applications

October 28 2025 • 9 min read

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Thinking in tables: Why Deephaven's table-oriented approach changes everything

From objects to tables: A paradigm shift for real-time analytics

October 10 2025 • 10 min read

Release notes for Deephaven Core version 0.40

Enhanced performance with intelligent filtering and keyed transpose

September 24 2025 • 7 min read

AI Agents with Deephaven

A demo with Claude desktop

May 21 2025 • 2 min read

Release notes for Deephaven Core version 0.39

Laying the groundwork for future development

May 15 2025 • 2 min read

Deephaven's GitHub Copilot Extension

AI trained on Deephaven

April 7 2025 • 4 min read

Release notes for Deephaven Core version 0.38

The first release of 2025

March 26 2025 • 5 min read

Release notes for Deephaven Core version 0.37

Python linting, an improved Iceberg integration, and new features

November 27 2024 • 13 min read

Why partitioned tables are powerful

The benefits of partitioning data

September 27 2024 • 9 min read

Combined aggregations for efficient analysis

Using Deephaven's Combined Aggregators

September 9 2024 • 3 min read

Deephaven and Iceberg

Big data storage meets big data processing

September 6 2024 • 5 min read

Real-time Bot Detection with BERT and Deephaven

Identify Amazon-review bots in real time using LLMs

August 30 2024 • 11 min read

Release notes for Deephaven Core version 0.36

Multi-table listeners, native table iteration in Python, and more

August 20 2024 • 6 min read

Get started with our Crash Course

Learn Deephaven faster than ever with our new Crash Course and demo notebooks

August 15 2024 • 2 min read

In response to Rockset-OpenAI: a brief real-time analytics manifesto

Why Deephaven is the best for real-time analytics

July 15 2024 • 8 min read

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