Nikhil Benesch

They’re calling it our most boring feature yet. boring(n): mundane; works exactly as expected; the highest praise you can give a database

tpuf Python client went async today! 🐡 ❤️ 🐍 Async client perf slightly edges out sync client perf under heavy query load. github.com/turbopuffer/...

Big day today at turbopuffer HQ.

when we said "coming soon" we really meant it now puffin' in aws-us-east-1 and aws-eu-central-1

Things move fast at turbopuffer. Now puffin' in aws/us-east-1 and aws/eu-central-1 too.

I've been dreaming about conditional writes on S3 for years. I couldn't have asked for a better way to celebrate than getting to ship tpuf on AWS. 🐡

It’s a rare day that my love of going to battle with build systems pays off like this. Kudos to GCP for a very impressive new SKU. 🐡💨

Couldn't be more excited to be joining the team at @turbopuffer.bsky.social. 🐡💨

Just catching up on my NULL BITMAPS and this is easily the best intuition for write skew I've ever seen described. The analogy to merge skew in a codebase is genius.

Well well well: www.crunchydata.com/blog/pg_incr... Incremental pipelines come to Postgres via Crunchy Data! This is like "dbt incremental", not true incremental view maintenance like @materialize.com or Snowflake's dynamic tables, but it's a neat step towards IVM.

The 6th (and last of 2024!) NYC Systems talks are next Thursday! We've got @jaronoff.com of Omlet and @benesch.bsky.social of Materialize speaking. :) nycsystems.xyz/december-202...

🚀 Postgres Compatibility Index (PCI): Think your shiny new Postgres derivative is "Postgres-compatible"? Test it, score it, and know the truth. 🐘 Thanks @gunnarmorling.dev @tudor.golubenco.org @benesch.bsky.social @deverts.bsky.social for the inspiration. Blog ==> tinyurl.com/mmfcbczz

First new post in a couple of weeks! There's been a lot of activity around regattastorage.com this week, so I decided to write about the space. tl;dr It's pretty exciting!

Today's third blog post on Aurora DSQL: this time looking at the write and commit path, and how conflicts are detected and handled: brooker.co.za/blog/2024/12...

For anyone keeping score in the open table format wars, AWS launching their s3 table bucket with only Iceberg support seems like a really big deal. Nothing is named in such a way that they can't add support for Delta down the line, but this feels like a huge endorsements of Iceberg (vs. others)

My second blog post on Aurora DSQL, with a deep dive on how reads work: brooker.co.za/blog/2024/12...

S3 (Iceberg) Tables is everything I dreamt of, and more. I blogged some long-form thoughts: meltware.com/2024/12/04/s... I think we're about to see an explosion of data tools (@materialize.com, @clickhouse.com, @duckdb.org, et al.) learn to write Iceberg tables via S3 table buckets. #databs

Aurora DSQL uses most of the SQL layer (parser, planner, optimizer, etc) from PostgreSQL itself. The storage layer, concurrency control, replication, etc are ground-up.

IT'S HERE! Amazon Aurora Distributed SQL (DSQL). It's DynamoDB and Postgres merged into a truly serverless relational database. This is THE announcement of Re:Invent 2024. Everything else is irrelevant.

@glaubercosta.bsky.social nails an explanation of 1) why vector databases are mostly a feature not a product but 2) why nonetheless @turbopuffer.bsky.social is on to something. From a Software Huddle interview a few months back: www.youtube.com/watch?v=a4X7...

Awesome work from @antiguru.bsky.social that can cut @materialize.com memory use by 50% on a common class of workload. Most importantly for our customers: Materialize is now 50% cheaper on these workloads!