VulcanSQL – Serve high-concurrency, low-latency API from OLAP
Hi HN, I wanted to share an exciting new open-source project: "VulcanSQL"! If you're interested in seamlessly transitioning your operational and analytical use cases from data warehouses and databases to the edge API server, this open-source data API framework might be just what you're looking for. VulcanSQL (https://vulcansql.com/) is suitable for following use cases: * Customer-facing analytics - expose analytics in your SaaS product for customers to understand how the product is performing for them via customer dashboards, insights, and reports. * Data Sharing - sharing…
What it does
In the maker’s words, at launch
Hi HN, I wanted to share an exciting new open-source project: "VulcanSQL"! If you're interested in seamlessly transitioning your operational and analytical use cases from data warehouses and databases to the edge API server, this open-source data API framework might be just what you're looking for. VulcanSQL (https://vulcansql.com/) is suitable for following use cases: * Customer-facing analytics - expose analytics in your SaaS product for customers to understand how the product is performing for them via customer dashboards, insights, and reports. * Data Sharing - sharing data with partners, vendors, or customers, which requires a secure and scalable way to expose data. * 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
Does the same job
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