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Comments (29)

  • RobinL
    We've found DuckDB 2.0 to be way faster on high core count machines on EC2. Not just reading data from S3, but the actual computations too. Much more likely to see 100% utilisation up to about 128vCPUs or 192vCPUs, and that CPU usage to translate into workloads completing faster.Still don't usually see a speedup past about 192vCPU, but prior to 2.0, speed would top out at more like 64vCPU, so this is a big win.That has enabled us to scale Splink (FOSS record linakge software) to process 1bn records with 10bn record comparisons in 10 mins, which as far as I'm aware makes it the fastest linkage engine of this kind. Most of this performance comes from simply delegating the big calculations to the DuckDB engine! https://moj-analytical-services.github.io/splink/topic_guide...Thanks to the team for all their work!
  • paoliniluis
    The fact that can now be used as a client-server architecture is a game changer. It will for sure replace many data stacks that now run on many servers with tons of cpu and ram
  • nicoritschel
    It's very fast, especially on a decent sized cloud VM and when querying Iceberg. I've been running the alpha in production as a centralized analytics server for a small organization.I built a DuckDB extension so you can connect via Postgres wire protocol, or Arrow flight. DuckDB also has its own Quack protocol, but client support for Quack is very limited right now, whereas many data tools support Postgres wire protocol or ADBC (which you can use with Arrow Flight).https://github.com/sidequery/duckflight-extension
  • xnx
    Absolutely fantastic piece of software. Even beyond being used as engine for analysis, it's amazingly versatile for ingesting and reshaping data. Great job.
  • datadrivenangel
    Very excited for Triggers. Now DuckDB really is close to being a data warehouse in a box.
  • mikkelam
    I really want to use DuckDB. But I have struggled to find a use case in my company.What are you guys using it for?
  • wodenokoto
    Is it possible to save DuckDB UI notebooks to files?
  • fragebogen
    >DuckDB 2.0 introduces asynchronous I/O for reading Parquet and CSV files.Sorry, does this mean that their own duckdb format already supports async or doesn't?
  • pletnes
    What is the benefit of using async io for csv and parquet files?
  • kbesplv
    [dead]
  • anon
    undefined
  • m00dy
    [flagged]