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BOOK A 30 MIN DEMO

Demo the world’s fastest database for vector, time-series, and real-time analytics

Start your journey to becoming an AI-first enterprise with 100x* more performant data and MLOps pipelines. 

  • Process data at unmatched speed and scale
  • Build high-performance data-driven applications
  • Turbocharge analytics tools in the cloud, on premise, or at the edge
“Through our partnership with KX, we’re now harnessing data across the business more efficiently, proving our clients with a more seamless experience, superior pricing, products, and customer service.”
Nikos Tsoskounoglou
Co-Head Quantitative Trading, ADSS
“Outstanding vector-based database performance. Best of breed in time-series, which was my use case.”
Michael D.
Executive Director, Engineering and Execution, Enterprise(> 1000 emp.)
“Wall Street’s secret is out!”
Standy C.
Enterprise (>1000 emp.)
“Even after 20 years, it still produces moments of “wow, that was fast!””
Verified User in Capital Markets
Mid-Market (51-1000 emp.)
“Excellent TSD for real time analytics and machine learning flows.”
Vikas G.
Enterprise (>1000 emp.)

kdb Insights on AWS is ideal for scalable quant research in the cloud and supports SQL and Python with unparalleled speed. Seamless integration with AWS services, like Lambda, S3, and Redshift, empowers you to create a highly performant data analytics solution built for today’s cloud and hybrid ecosystems. Data-driven organizations choosing KX for faster decision making:

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    A Verified G2 Leader for Time-Series Vector Databases

    G2 Easist Setup Spring 2024 Award - KX
    G2 High Performer Spring 2024 Award - KX
    G2 Users Love Us - KX
    G2 Leader Spring 2024 Award - KX
    G2 Easiest Admin Spring 2024 Award - KX

    4.8/5 Star Rating

    G2 Stars - KX
    G2 Stars - KX
    G2 Stars - KX
    G2 Stars - KX
    G2 Stars - KX

    Based on time-series queries running in real-world use cases on customer environments.

    To see how kdb performed in independent benchmarks that show similar on replicable data see: TSBS 2023, STAC-M3, DBOps, and Imperial College London Results for High-performance DB benchmarks.