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Reducing the Performance Gap of Intel's MKL on AMD Threadripper
In this post I'm going to show you a simple way to significantly speedup Python numpy compute performance on AMD CPU's when using Anaconda Python.
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 308 posts.
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TimescaleDB 2.0 released, now distributed multi-node
Fully managed PostgreSQL from the creators of TimescaleDB. 99.9% uptime SLA, 10,000+ IOPS, columnar compression up to 95%, and built-in search. Try it free.
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Backblaze Drive Stats for 2022
Check out the 2022 year-end Drive Stats data, and let us know your thoughts in the comments.
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How PlanetScale Boost serves SQL queries faster
PlanetScale offers the world’s fastest and most scalable cloud hosting for Vitess, Neki, and Postgres.
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Building CockroachDB on top of RocksDB
CockroachDB uses RocksDB for its storage engine because of RocksDB's rich feature set, which is necessary for a complex product like a distributed SQL database.
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Backblaze Drive Stats for Q3 2025
Read the Q3 2025 Drive Stats report to see the latest annualized failure rates, and an analysis of how we define failure in the first place.
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Amazon DynamoDB Transactions
May 20, 2024: As of September 2022, DynamoDB now supports 100 items per transactions. March 13, 2020: Post updated to clarify how to use transactions with global tables and the increase in the maximum number of items per transaction from 10 to 25. Over the years, customers have used Amazon DynamoDB for lots of…
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Data looks better naked
Rather than dressing data up, strip it down—remove to improve.
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Postgres Count Performance
Everybody counts, but not always quickly. This post looks into how the PostgreSQL database optimizes counting. In Postgres, there are ways to count orders of magnitude faster. We’ll look at exact counts (distinct counts) as well as estimated counts, using approximation algorithms such as HyperLogLog (HLL) in Postgres.
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PostgreSQL used fsync incorrectly for 20 years (2019) [video]
About a year ago the PostgreSQL community discovered that fsync (on Linux and some BSD systems) may not work the way we always thought it is, with possibly disastrous consequences for data durability/consistency (which is something the PostgreSQL community really values).
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Wikipedia Adopts MariaDB
This past Wednesday marked a milestone in the evolution of Wikimedia’s Database infrastructure: the completion of the migration of the English and German Wikipedias, as well as Wikidata, to M…
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PlanetScale for Postgres
PlanetScale now supports Postgres
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D1: Improvements to performance and scalability
We've been heads down iterating on D1, and we've just shipped a major new version that's substantially faster, more reliable, and introduces Time Travel: the ability to restore a D1 database to any point in time.
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Querying Postgres Tables Directly from DuckDB
DuckDB can now directly query tables stored in PostgreSQL and speed up complex analytical queries without duplicating data.
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Same Stats, Different Graphs: Datasets with Varied Appearance and Identical Stats
Why graphical representation and visualization are so important to...
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Supabase Wrappers: A framework for building Postgres foreign data wrappers
A framework for building Postgres Foreign Data Wrappers which connects to Stripe, Firebase, Clickhouse, and more.
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Amazon Aurora with PostgreSQL Compatibility
Late last year I told you about our plans to add PostgreSQL compatibility to Amazon Aurora. We launched the private beta shortly after that announcement, and followed it up earlier this year with an open preview. We’ve received lots of great feedback during the beta and the preview and have done our best to make […]
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Why Cassandra Doesn't Need Vector Clocks
Deepening watsonx capabilities to address enterprise gen AI data needs with DataStax.
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AuthZ: Scalable permissions system
How we built an authorization system based on Google Zanzibar
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Jepsen: YugaByte DB 1.3.1
2019-09-05: YugaByte’s blog post states YugaByte DB “passes Jepsen tests”. We feel obligated to state that YugaByte DB’s Jepsen test suite does not pass, though it may in the future. Race conditions in YugaByte DB’s schema system can cause correctness errors. For example, inserting rows into a freshly-created table…
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mrjob: Yelp open sources its Elastic MapReduce framework for Python
mrjob: Distributed Computing for Everybody Dave M Search and Data-Mining Engineer Oct 29, 2010 Ever wonder how we power the People Who Viewed this Also Viewed… feature? How does Yelp...
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Pocket Watch: Verifying Exabytes of Data
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
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Large-scale graph computing at Google
Posted by Grzegorz Czajkowski, Systems Infrastructure TeamIf you squint the right way, you will notice that graphs are everywhere. For example, soc...
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Tracking down the 16-year-old WAL-reset SQLite bug
Tailscale and SQLite developers traced maddening corruption incidents to find the WAL-Reset data race, then uncovered a second stale expression index bug.
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The DuckDB Local UI
The DuckDB team and MotherDuck are excited to announce the release of a local UI for DuckDB shipped as part of the ui extension.