I wanted a parquet viewer like Tad but it hasn't been updated in a while. Not bad for a few hours vibecode in Opus 5. Swift, powered by DuckDB via C API. Supports modifying underlying SQL, seeing schema.

` Asynchronous I/O in #DuckDB: Work, Thread, Work ` It doesn't matter how fast query operators are in a database system if we can't pull in the data quickly. For most of DuckDB's history, this problem was largely avoided by pruning data early. As usual, things changed: duckdb.org/2026/07/31/a...

Great to see temporal table support improved in Postgres. Still no built-in temporal querying e.g. AS OF, but at least no extensions needed now. SCD is hard, any tools that help are welcome. www.postgresql.org/docs/19/ddl-...

5.7. Temporal Tables

5.7. Temporal Tables # 5.7.1. Application Time 5.7.2. System Time Temporal tables allow users to track different dimensions of history. Application …

postgresql.org

Nice GUI to replace/augment CXPatcher for Crossover for games. Prerelease still, but promising. github.com/italomandara...

GitHub - italomandara/Procyon: A Steam game launcher for macOS that can run both Windows and MacOS Games

A Steam game launcher for macOS that can run both Windows and MacOS Games - italomandara/Procyon

github.com

Today we are revealing the Next Big Thing for DuckDB: Quack, a protocol that turns DuckDB into a client-server database. True to DuckDB's philosophy, Quack is simple and fast. Setting it up takes seconds, and it works for both bulk operations and small write transactions. 🔗 duckdb.org/quack

Yesterday, we released DuckLake v1.0 and also published a podcast where Pedro Holanda and Mark Raasveldt talk about the DuckLake, going into quite some technical details. Listen to the episode at ducklake.select/media/duckla...

DuckLake v1.0 – Developer Discussion

DuckLake is a SQL-as-a-lakehouse format that leverages your favorite SQL database (SQLite, PostgreSQL or DuckDB) to provide ACID transactions, schema evolution, and time travel for your data lake, wit...

ducklake.select

Materialized CTE support finally coming to Clickhouse. Goodbye unnecessary DB round trips and temp tables with consistency issues. github.com/ClickHouse/C...

Support Materialized CTE by novikd · Pull Request #94849 · ClickHouse/ClickHouse

Changelog category (leave one): New Feature Changelog entry (a user-readable short description of the changes that goes into CHANGELOG.md): Support Materialized CTE. Allow evaluating CTEs only on...

github.com

We're excited to announce duckdb-skills, a DuckDB plugin for Claude Code! We think the embedded nature of DuckDB makes it a perfect companion for Claude in your local workflows. Check out the repository at github.com/duckdb/duckd...

GitHub - duckdb/duckdb-skills

Contribute to duckdb/duckdb-skills development by creating an account on GitHub.

github.com

DuckDB just casually in the nVidia keynote. AI doesn't make databases irrelevant, it makes them more relevant than ever.

We released DuckDB v1.5! This release comes with a “friendly CLI” client, a new (opt-in) PEG parser, support for VARIANT types and many lakehouse features. It also ships a new network stack, a reworked geospatial extension, Azure writes and an ODBC scanner. Read more at duckdb.org/2026/03/09/a...

Good non-technical summary of some of the various chips out there. www.youtube.com/watch?v=RBmO...

How Nvidia GPUs Compare To Google’s And Amazon’s AI Chips

YouTube video by CNBC

youtube.com

Claude cowork w/ Opus 4.6 is definitely smart, but got stuck on a data task, I stopped it, pointed it to DuckDB, done instantly. LLMs still have much to learn 🤔

Great overview of chip manufacturing with EUV. We really do have supercomputers in our pockets, on our desk and on our wrists. www.youtube.com/watch?v=B248...

The $200M Machine that Prints Microchips: The EUV Photolithography System

YouTube video by Branch Education

youtube.com

🎞️ The slide decks and talk recordings of last Friday's developer meeting are out! duckdb.org/events/2026/...

Great talks at South Bay Systems hosted at databricks on xNVMe, fast SSD query processing, and using NPUs for DB work. Much work using DuckDB extensions. Need for async I/O as bottleneck a common topic, mainly at larger scale. luma.com/8a54z94d?tk=...

GPU-powered analytical query engines going mainstream? Needs nVidia GPU and limited to memory for now, but neat use of Substrait+Arrow for interop. DuckDB still easier to run anywhere, but this is useful for acceleration if needed. developer.nvidia.com/blog/nvidia-...

NVIDIA CUDA-X Powers the New Sirius GPU Engine for DuckDB, Setting ClickBench Records | NVIDIA Technical Blog

Sirius, an open-source GPU native SQL engine, achieved a new performance record on Clickbench—a widely used analytics benchmark. Developed by University of Wisconsin-Madison with support from NVIDIA…

developer.nvidia.com

The PyData Amsterdam 2025 keynote “Minus Three Tier: Data Architecture Turned Upside Down” by @hannes.muehleisen.org is out now. www.youtube.com/watch?v=DxwD...

KEYNOTE: Hannes Mühleisen - Data Architecture Turned Upside Down | PyData Amsterdam 2025

YouTube video by PyData

youtube.com

New database leaderboard from Yellowbrick ranks the quality of DBMS optimizer estimates and plans. They only evaluate TPC-H for now and report results for Postgres + DuckDB + MSSQL: sql-arena.com/components/p... Repo: github.com/sql-arena/db... LinkedIn Group: www.linkedin.com/groups/15775...

Today's Future Data Systems Seminar Speaker: Ian Cook (@ian.columnar.tech) will present @columnar.tech's work on Apache Arrow's database connectivity API (ADBC). ADBC is available in modern DBMSs. Zoom talk open to public at 4:30pm ET. YouTube video available after: db.cs.cmu.edu/events/futur...

[Future Data] Where We're Going, We Don't Need Rows: Columnar Data Connectivity with ADBC - Carnegie Mellon Database Group

ADBC (Arrow Database Connectivity) is Apache Arrow’s answer to ODBC and JDBC:... Read More +

db.cs.cmu.edu

Today's Future Data Systems Seminar Speaker: Will Manning (@willmanning.com) will present @spiraldb.com's Vortex file format. Vortex is now a @linuxfoundation.org project. Zoom talk open to public at 4:30pm ET. YouTube video available after: db.cs.cmu.edu/events/futur...

[Future Data] Vortex: LLVM for File Formats - Carnegie Mellon Database Group

Apache Parquet revolutionized columnar storage after its initial release in 2013, but... Read More +

db.cs.cmu.edu

Processing 100Tb of CSV files on a single machine is insane, little over 1hr per query, even if on a powerful AWS instance. Question heavily the need for complex systems when this is what’s possible now. Can’t wait for full write-up. Incredible work. duckdb.org/2025/10/09/b...

Taking the DuckDb hoodie on a trip. Not exactly Amsterdam but I’ve heard they like columnar databases here too.

Congrats to DuckDB team on LTS release w/ many great improvements! Hidden among them you can now use Hive filtering with read_blob, and SHOW TABLES FROM specific db w/o USE.

DuckDB@duckdb.org · 11mo ago

📈 DuckDB 1.4.0 is out! This is our first LTS release which comes with *one year of community support*. It also supports database encryption, the MERGE SQL statement and Iceberg writes. For more details, read the announcement blog post at duckdb.org/2025/09/16/a...

📈 DuckDB 1.4.0 is out! This is our first LTS release which comes with *one year of community support*. It also supports database encryption, the MERGE SQL statement and Iceberg writes. For more details, read the announcement blog post at duckdb.org/2025/09/16/a...

I tried loading eBird data (1.5B rows CSV ZIP) using DuckDB for fun, inspired by a Clickhouse blog post and a bit of curiosity. Both did well, DuckDB slightly faster querying and Parquet ingest, Clickhouse w/ native zip support, optimized for ingest and multitenancy. xevix.medium.com/ebird-in-duc...

eBird in DuckDB

I saw this post by the Clickhouse team which was doing a cool test of the eBird dataset from Cornell University, and wondered how DuckDB…

xevix.medium.com

Vol:18 No:8 → Saving Private Hash Join 👥 Authors: Laurens Kuiper, Paul Gross, Peter Boncz, Hannes Mühleisen 📄 PDF: https://www.vldb.org/pvldb/vol18/p2748-kuiper.pdf

Is there too much duplicated effort in data tools? I sometimes wonder about this. xevix.medium.com/data-tool-co...

Data Tool Component Sharing

There are many partly overlapping tools in the data world, which is what inspired things like Calcite to have modular components for…

xevix.medium.com

Compiling DuckDB on Windows 11 (ARM) using UTM VM on macOS to debug Windows compile issues. It's a shame msvc doesn't exist outside of Windows, mingw/clang don't work the same and cross-compiling is tricky. Compiling takes 5-10 mins (instead of 1-2 mins native), but it works 🎉!

Stretching DuckDB w/ Common Crawl, ~1.7B rows, ~300 parquet files. ~2-3s for single-column aggregations, ~2-3 mins to SUMMARIZE the data, peaking at ~12-14GB memory usage. Not exactly real-time, but the fact you can do this on a laptop with no server setups or Spark pipelines is still amazing.

Neat little hack to get Hive partition list in DuckDB, useful for an overview. Might be neat to have built-in. gist.github.com/xevix/04f33d...