• Products & Services

    Tiger Cloud

    A reliable PostgreSQL cloud for your workloads

    Support Services

    Support options for your use case, infrastructure, and budget

    Workloads

    Time Series

    Lightning-fast ingest and querying on PostgreSQL

    Real-Time Analytics

    The fastest real-time analytics on PostgreSQL

    AI and Vector

    Build RAG, search, and Al agents, all on PostgreSQL

    Open-Source Extensions and Tools

    Time Series and Real-Time Analytics

    A reliable PostgreSQL cloud for your workloads

    AI and Vector

    Security Scanner

    Security, reliability, and support for demanding businesses.

  • Documentation

    TigerData Docs

    Learn how to make PostgreSQL faster with our documentation

    AI and Vector

    Learn how to use PostgreSQL for Al with our documentation

    Learn PostgreSQL

    Learn PostgreSQL

    Learn the PostgreSQL basics and scale your database performance

    TigerData Benchmarks

    TigerData benchmarks

    See how TigerData performs against the competition

    More

TigerData Events

Explore upcoming in-person and virtual events to connect and collaborate with the TigerData community.

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Blog

Latest news, launches, and technical thought leadership from the TigerData team.

Tiger Lake: A New Architecture for Real-Time Analytical Systems and Agents

Tiger Lake: A New Architecture for Real-Time Analytical Systems and Agents

Announcements & Releases

Mike Freedman, CTO of TigerData, introduces Tiger Lake: a native Postgres–lakehouse bridge for real-time, analytical, and agentic systems.

Thu, Jul 17, 2025

How CERN Powers Ground-Breaking Physics with TimescaleDB

How CERN Powers Ground-Breaking Physics with TimescaleDB

Dev Q&A

Discover how CERN uses TimescaleDB to archive millions of SCADA signals—cutting storage by 7x and boosting query speed up to 40x.

Thu, Jul 17, 2025

Why Cursor is About to Ditch Vector Search (and You Should Too)

Why Cursor is About to Ditch Vector Search (and You Should Too)

AI

TigerData’s Jacky Liang shows why AI is search and why the industry is heading to hybrid search, which involves lexical and vector approaches working together.

Thu, Jul 10, 2025