Ask HN: Why are there no easy-to-use highly-available open source databases?

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

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  • rqlite

    The lightweight, distributed relational database built on SQLite.

  • rqlite https://github.com/rqlite/rqlite

    I'm the creator of this project. While it's not going to work super well at very large datasets, it's explicitly designed to be trivial to deploy, and very easy to operate. You can get it up and running in seconds, and clustering seconds later. My practical experience with databases told me that operating the database is at least as important as performing queries with it. So I put a lot of work into easy clustering, clear diagnostics, and solid code.

  • Milvus

    A cloud-native vector database, storage for next generation AI applications

  • There's quite a few open-source vector databases (https://frankzliu.com/blog/a-gentle-introduction-to-vector-d...). Milvus is one of them (https://milvus.io).

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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