Author of "In-Memory Analytics with Apache Arrow" | Co-Founder at https://xitter.cf/t.co/o3HvqD2eJ7 Lover of Randomness and cats. @ApacheArrow PMC Member and member of the ASF
Norwalk, CT
Joined January 2009
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Time for @oredev !! If you're here don't miss my talk today at 10:10 on using @ApacheArrow with #ml workflows! Looking forward to a day of interesting talks and discussions – at Malmo, Sweden
Matt Topol retweeted
This Friday at PyData Amsterdam 2026, @zeroshade will show how @duckdb and @ApacheArrow ADBC work together to make data analytics in Python faster and easier.
Join us on September 11 at 11:05!
Link in the comments.
#PyData #Python #DuckDB #ApacheArrow #ADBC #DataAnalytics
ALT Promotional graphic for Matthew Topol's PyData Amsterdam 2026 talk, "DuckDB + ADBC: Faster, Easier Data Analytics in Python," on September 11, featuring the Python, DuckDB, Apache Arrow, and Columnar logos.
Matt Topol retweeted
In SF during Snowflake Summit June 1-3? Duck out (ha!) to The Dive! Hear from rockstars at Anthropic, Braintrust, Lovable, Hex, & more.
See the future of lakehouses with @J_ , creator of Apache Parquet, and @zeroshade, founder at Columnar (& me!)
Register! thedive.motherduck.com/
Matt Topol retweeted
The fastest operation is the one you don’t have to do.
When a database natively supports @ApacheArrow, ADBC can speed up fetching and ingestion by eliminating costly row/column conversions.
How much faster is it in practice? We ran some benchmarks to find out. Link below 👇
ALT An abstract hyperspace warp image inspired by the comedic "going plaid" effect from the 1980s cult film "Spaceballs".
Matt Topol retweeted
If you aren't paying attention to some of the Apache Spark Acceleration projects like Gluten, you should!
Gluten just graduated as a Top-Level Project @TheASF
Matt Topol retweeted
Fetch query results without ODBC / JDBC bottlenecks. The new ADBC driver for @databricks is now in early release. Install it with dbc. Details in comments.
Matt Topol retweeted
私の稼働が空いちゃったので、私と一緒になにかお仕事したい人からの連絡を待っています！
須藤、空いています - 2025-11-27 - ククログ clear-code.com/blog/2025/11/…
Matt Topol retweeted
🚀 Launching Supermetal — data replication that just works.
Sync databases to warehouses in real-time or batch — no Kafka, no JVM, no Debezium. Built in Rust & Apache Arrow.
Try it → trial.supermetal.io
Launch post → supermetal.io/blog/launch
#dataengineering #rustlang
Matt Topol retweeted
Data and AI are evolving fast, but much of today’s infrastructure still runs on standards from the 90s.
@columnar_tech, from the team behind Apache Arrow, is bringing an Arrow-native protocol (ADBC) that moves data 10–100× faster across systems like Snowflake and DuckDB.
We're excited to lead Columnar's $4M seed round.
Read the full Q&A to learn more: bessemervp.team/47d8gWk
Matt Topol retweeted
A new startup, @columnar_tech, looks to streamline the copying of tabular data across systems, using @ApacheArrow and the ADBC API.
By @Joab_Jackson thenewstack.io/apache-arrows…
Come join the community with our launch! Learn more and come talk to us about data connectivity with @ApacheArrow !!
The future of data connectivity is columnar. Today we launched @columnar_tech to accelerate the shift from slow, row-oriented APIs like ODBC and JDBC to >10x faster alternatives powered by @ApacheArrow. Learn more 👉 columnar.tech/blog/announcin…⚡️
Matt Topol retweeted
ODBC is getting tired. It can't keep up with the fast new kids in the data world these days. The next generation is ready to take the torch. Meet ADBC, a fast, modern data connectivity standard built on @ApacheArrow. Watch my talk from the @CMUDB seminar: youtu.be/TjlmNGNx77E
Matt Topol retweeted
We're building the data infrastructure that AI actually needs.
Current systems were built for humans reading dashboards. But an H100 can consume 4 million images per second.
The future isn't human-scale. It's machine-scale.
Introducing Spiral: Data 3.0 🌀
1/8
Matt Topol retweeted
Its happening -- DataFusion will (finally) get spilling hash joins. The march to completeness begins
I'd like to start using this platform as a place to post about open source work I do on my off time.
To lead it off, I have posted a hash join spilling proposal in Apache Datafusion. Check it out if you're interested 😀:
github.com/apache/datafusion…
Matt Topol retweeted
In September the @columnar_tech crew are headed to @PyDataParis 2025 and the first ever @ApacheArrow Summit. The organizer @QuantStack is a dedicated supporter of Apache Arrow. We’re delighted to be sponsoring the event.
PyData Paris will be back in 2025 ! 🎉
📆 Sept 30th & Oct 1st 2025
📍Cité des Sciences et de l’Industrie
Thanks to our early supporters @hopsworks and @UnivParisSaclay's Graduate School of Computer Science.
@NumFOCUS @PyData @PyDataParis
pydata.org/paris2025
Matt Topol retweeted
Excited to see continued improvements in embedded query processing in the @ApacheArrow C++ project: arrow.apache.org/blog/2025/0…
Matt Topol retweeted
1/5. @paradedb has raised a $12M Series A to bring Elasticsearch workloads to Postgres. 🧵
techcrunch.com/2025/07/15/pa…
Matt Topol retweeted
🚀 Introducing Bauplan
A serverless, code-native platform for building data and AI pipelines — directly on your object store. No clusters. No notebooks. No GUI based workflows.
Just Python + SQL + S3.
👉 bauplanlabs.com/blog/hello-b…
Matt Topol retweeted
Please join @zeroshade at the Atlanta Cloud Conference on April 26th for Apache Arrow: The Great Library Unifier. Register at ticketleap.events/tickets/de…
Matt Topol retweeted
I’m excited about xorq! Ibis and DataFusion brought together to orchestrate multi-engine data pipelines, all powered by @ApacheArrow
github.com/xorq-labs/xorq
