Databases in 2024: A Year in Review

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

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  1. Neo4j

    Graphs for Everyone

    Great heads up. I wonder about graph databases. He mentioned <https://umbra-db.com/> and <https://cedardb.com/> both include the graph use case and I wonder how they compare to <https://neo4j.com/>.

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  3. pg_mooncake

    Columnstore Table in Postgres

    It's such an honor our https://pgmooncake.com/ is covered in the review!

    A little sad Andy didn't share more of his thoughts on the intersection between Data and AI, and how that's going to evolve.

  4. CPython

    The Python programming language

    Yep! Not every operation you can do on a dict is thread safe but if you find a situation where it isn't it's a bug.

    https://github.com/python/cpython/issues/112075

    Google is recommending people not rely on it because it does make dict subclasses not substitutable.

  5. prql

    PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement

    For what it's worth, SQL kind of sucks. It's just the de facto choice because it's extremely widespread and good enough for 80% of the use cases out there and what's missing can be kludged on top of it, either by specific DB vendors, or by various extensions.

    It's not too hard to come up with alternatives that improve upon individual aspects of SQL like https://prql-lang.org/ but the barrier of entry is about as high as trying to make a huge social media network, most attempts will remain niche.

  6. dragonfly

    A modern replacement for Redis and Memcached

  7. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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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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the 7th most popular programming language
based on number of references?