Show HN: VulcanSQL – Serve high-concurrency, low-latency API from OLAP

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • vulcan-sql

    Data API Framework for AI Agents and Data Apps

  • * Internal tools - Integration with internal tools like Retools.

    it leverages the impressive capabilities of DuckDB as a caching layer. This combination brings about cost reduction and a significant boost in performance, making it an excellent choice for high-concurrency, low-latency scenarios that OLAP not suitable for.

    By utilizing VulcanSQL, you can move remote data computing in cloud data warehouses, such as Snowflake and BigQuery to the edge. This embedded approach ensures that your analytics and automation processes can be executed efficiently and seamlessly, even in resource-constrained environments.

    GitHub: https://github.com/Canner/vulcan-sql

  • cube.js

    📊 Cube — The Semantic Layer for Building Data Applications

  • How is this different from something like https://cube.dev/

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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