By Craxel Founder and CEO David Enga

April 24, 2024

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Imagine what you could do with vast quantities of complex information if you could rapidly organize it in a way that facilitated connecting the dots within the data. Many of you are aware of time series databases for storing event data and graph databases for storing relationships. Both have significant deficiencies. What if you could combine the two concepts while overcoming their deficiencies?

‍Craxel's breakthrough O(1) algorithms allow massive time series graphs to be rapidly constructed with the data being available as soon as it arrives. Learn about time series graphs by watching our video that provides a simple illustration explaining the basics of time series graphs. https://www.youtube.com/watch?v=VW4MGBfj1kY

Don't be fooled by the simple illustration in the video. Time series graphs provide a powerful tool for solving very large and complex data challenges such as real-time observability of very large networks for cybersecurity or conduct, compliance and risk challenges at large financial institutions. We believe that time series graphs are the data foundation that will take AI to new heights.