orioledb

OrioleDB – building a modern cloud-native storage engine (... and solving some PostgreSQL wicked problems) Β πŸ‡ΊπŸ‡¦ (by orioledb)

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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 better orioledb alternative or higher similarity.

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orioledb reviews and mentions

Posts with mentions or reviews of orioledb. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-19.
  • OrioleDB – building a modern cloud-native storage engine
    1 project | news.ycombinator.com | 14 Jan 2025
  • Show HN: OrioleDB Beta7 Benchmarks
    1 project | news.ycombinator.com | 1 Dec 2024
  • The Part of PostgreSQL We Hate the Most
    1 project | news.ycombinator.com | 20 Oct 2024
  • Supabase Acquires OrioleDB
    1 project | news.ycombinator.com | 15 Apr 2024
    hey hn, supabase ceo here

    we've been fans of Oriole for a while now and have been long-time supporters

    in case you're jumping straight to the comments: OrioleDB is a table storage extension for Postgres. it acts as a drop-in replacement for the default postgres storage engine using the Table Access Method APIs (pluggable storage). the storage engine changes the representation of table data on disk. its architecture is designed to take advantage of modern hardware like SSDs and NVRAM. it implements MVCC, the feature that allows allows multiple connected users to see different versions of the data depending on when their transaction started, via an UNDO log rather than tuple versioning.

    one caveat: it requires several patches to the postgres core to expand on the type of features external storage engines extensions can implement. for this reason it could be a while before you see this land as a default engine on supabase. we will probably make it available as an option for customers who want to experiment - no timeline is decided yet.

    finally, we have been working with the team on decoupled storage and compute [0]. this is experimental but promising, especially with some recent advances in S3 (specifically Express One Zone [1]). we have a demonstration in the blog post.

    i'll message Alexander in case there are any technical questions

    [0] https://github.com/orioledb/orioledb/blob/main/doc/usage.md#...

    [1] https://aws.amazon.com/s3/storage-classes/express-one-zone/

  • Jepsen: MySQL 8.0.34
    4 projects | news.ycombinator.com | 19 Dec 2023
    When I saw "cloud native" I was expecting S3-ish the way Neon does it but they say it's experimental: https://github.com/orioledb/orioledb/blob/beta4/doc/usage.md... and for them to say "beta, don't use in production" and then a separate "experimental" label must make it really bad
  • When Did Postgres Become Cool?
    3 projects | news.ycombinator.com | 9 Aug 2023
    There are some interesting things in development to potentially solve that problem.

    Here's a recent HN submission about OrioleDB of the more promising ones: https://news.ycombinator.com/item?id=36740921

    Source code: https://github.com/orioledb/orioledb

  • PostgreSQL: No More Vacuum, No More Bloat
    6 projects | news.ycombinator.com | 15 Jul 2023
    https://github.com/orioledb/orioledb/blob/main/doc/arch.md

    > - PostgreSQL is very conservative (maybe extremely) conservative about data safety (mostly achieved via fsync-ing at the right times), and that propagates through the IO stack, including SSD firmware, to cause slowdowns

    This is why our first goal is to become pure extension. Becoming part of PostgreSQL would require test of time.

    > - MVCC is very nice for concurrent access - the Oriole doc doesn't say with what concurrency are the graphs achieved

    Good catch. I've added information about VM type and concurrency to the blog post.

    > - The title of the Oriole doc and its intro text center about solving VACUUM, which is of course a good goal, but I don't think they show that the "square wave" graphs they achieve for PostgreSQL are really in majority caused by VACUUM. Other benchmarks, like Percona's (https://www.percona.com/blog/evaluating-checkpointing-in-pos...) don't yield this very distinctive square wave pattern.

    Yes, it's true. The square patters is because of checkpointing. The reason of improvements here is actually not VACUUM, but modification of relevant indexes only (and row-level WAL, which decreases overall IO).

  • OrioleDB Reached Beta
    1 project | news.ycombinator.com | 19 Jun 2023
  • OrioleDB – building a modern cloud-native storage engine for Postgres
    1 project | news.ycombinator.com | 26 May 2023
  • The Part of PostgreSQL We Hate the Most (Multi-Version Concurrency Control)
    2 projects | news.ycombinator.com | 26 Apr 2023
    I took a look at https://github.com/orioledb/orioledb which is a project attempting to remedy some of Postgres' shortcomings, including MVCC. It looks like they're doing something similar to MySQL with a redo log, as well as some other optimizations. So maybe this is the answer.
  • A note from our sponsor - SaaSHub
    www.saashub.com | 21 Jan 2025
    SaaSHub helps you find the best software and product alternatives Learn more β†’

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