Gabor Szarnyas (@szarnyasg) 's Twitter Profile
Gabor Szarnyas

@szarnyasg

Developer relations and docs @DuckDB, benchmark lead @LDBCouncil

ID: 563311832

linkhttps://szarnyasg.org/ calendar_today26-04-2012 00:42:13

258 Tweet

648 Followers

653 Following

DuckDB (@duckdb) 's Twitter Profile Photo

We are proud to release DuckDB v0.10.0: duckdb.org/2024/02/13/ann
 Some highlights: – A reworked and much faster CSV reader – Fixed-length arrays – Multi-database support – Secrets manager – Temporary memory manager – Adaptive lossless floating-point compression – New CLI editor –

We are proud to release DuckDB v0.10.0: duckdb.org/2024/02/13/ann


Some highlights:
– A reworked and much faster CSV reader
– Fixed-length arrays
– Multi-database support
– Secrets manager
– Temporary memory manager
– Adaptive lossless floating-point compression
– New CLI editor
–
Roland Bouman (@rolandbouman) 's Twitter Profile Photo

@DuckDB friends, join me and Gabor Szarnyas on thu march 28 at the Data Tribes Meetup, Johan Huizingalaan 400 Amsterdam, NL. - start 6.00pm - Drinks & Pizza’s 1) DuckDB: The power of in-process analytics 2) Huey - Pivoting 100 million rows in the browser meetup.com/data-thursday/


Alex Monahan (@__alexmonahan__) 's Twitter Profile Photo

The question isn't, "Is Python or SQL better?", it's "How can we work together?" Join me at PyCon US to see how to mix and match SQL and dataframes, DuckDB's friendly Pythonic SQL, and using dataframe APIs on top of DuckDB!!

Gabor Szarnyas (@szarnyasg) 's Twitter Profile Photo

Last month I gave a keynote of the GraphSys workshop of ICPE 2025 2024 about the Linked Data Benchmark Council (@LDBCouncil). I described the organization's efforts in benchmarking and standardizing graph systems. My slides are available here: szarnyasg.github.io/talks/graphsys


Last month I gave a keynote of the GraphSys workshop of <a href="/ICPEconf/">ICPE 2025</a> 2024 about the Linked Data Benchmark Council (@LDBCouncil). I described the organization's efforts in benchmarking and standardizing graph systems.

My slides are available here: szarnyasg.github.io/talks/graphsys

DuckDB (@duckdb) 's Twitter Profile Photo

We are proud to release the first major version of DuckDB, v1.0.0, codenamed "Snow Duck". This version is a culmination of almost six years of research and development. Today we are shipping an innovative database system with a backwards-compatible storage format. Check out our

We are proud to release the first major version of DuckDB, v1.0.0, codenamed "Snow Duck".

This version is a culmination of almost six years of research and development. Today we are shipping an innovative database system with a backwards-compatible storage format.

Check out our
DuckDB (@duckdb) 's Twitter Profile Photo

We started a series of blog posts called “DuckDB tricks”. In these posts, we will present some useful shorthands, hacks, and design patterns for DuckDB. In the first part of the series, Gabor Szarnyas explains some techniques for handling floats, fine-tuning the CSV reader, and

We started a series of blog posts called “DuckDB tricks”. In these posts, we will present some useful shorthands, hacks, and design patterns for DuckDB.

In the first part of the series, <a href="/szarnyasg/">Gabor Szarnyas</a> explains some techniques for handling floats, fine-tuning the CSV reader, and
DuckDB (@duckdb) 's Twitter Profile Photo

Hannes MĂŒhleisen gave a talk at the Data Engineering for AI/ML conference on going beyond two tier data architectures with DuckDB.

GOTO (@gotocon) 's Twitter Profile Photo

Explore how DuckDB handles massive datasets with ease in Gabor Szarnyas' talk. Key points: it manages terabytes of data on servers and supports formats like CSV, Parquet, and JSON natively. youtu.be/9Rdwh0rNaf0?li


Explore how DuckDB handles massive datasets with ease in <a href="/szarnyasg/">Gabor Szarnyas</a>' talk. Key points: it manages terabytes of data on servers and supports formats like CSV, Parquet, and JSON natively. youtu.be/9Rdwh0rNaf0?li

Rill Data (@rilldata) 's Twitter Profile Photo

In the latest round of our Data Talks on the Rocks series Michael E. Driscoll interviews @hfmuehleisen, creator of DuckDB. Here's a clip to see some of our favorite moments. If you want to dive deep into database architecture, check out the hour long video. No AI talk in this one!!

Gabor Szarnyas (@szarnyasg) 's Twitter Profile Photo

My post on the performance of DuckDB vs. wc received a lot of feedback. Based on these, I ran a few more experiments to see how DuckDB stacks up against parallelized wc and (rip)grep on Linux: szarnyasg.org/posts/duckdb-v
 TL;DR: it depends but DuckDB is still pretty fast!

My post on the performance of DuckDB vs. wc received a lot of feedback. Based on these, I ran a few more experiments to see how DuckDB stacks up against parallelized wc and (rip)grep on Linux:

szarnyasg.org/posts/duckdb-v
 

TL;DR: it depends but DuckDB is still pretty fast!
Linked Data Benchmark Council (@ldbcouncil) 's Twitter Profile Photo

We are holding an LDBC community meeting in London this Friday (2024-12-13) starting at 13.00, near the venue of Connected Data London. Check out the programme at ldbcouncil.org/event/nineteen


We are holding an LDBC community meeting in London this Friday (2024-12-13) starting at 13.00, near the venue of <a href="/Connected_Data/">Connected Data</a> London. Check out the programme at ldbcouncil.org/event/nineteen

James Cowling (@jamesacowling) 's Twitter Profile Photo

Got to sit down with Professor Andy Pavlo (@andypavlo.bsky.social) on the latest Convex Databased podcast for his 2024 databases year in review! We covered OSS db licensing challenges with Redis and Elastic; the Databricks vs Snowflake turf wars; the rise of DuckDB; why we love SQLite;

Got to sit down with Professor <a href="/andy_pavlo/">Andy Pavlo (@andypavlo.bsky.social)</a> on the latest <a href="/convex_dev/">Convex</a> Databased podcast for his 2024 databases year in review!

We covered OSS db licensing challenges with Redis and Elastic; the Databricks vs Snowflake turf wars; the rise of <a href="/duckdb/">DuckDB</a>; why we love SQLite;
john kutay (@johnkutay) 's Twitter Profile Photo

We replaced materialized views with in-process DuckDB caching in the control plane of Striim Developer — improving query performance 5–10x with zero added infra. PostgreSQL for OLTP, DuckDB for Operational OLAP. But I won't call it HTAP đŸ€

We replaced materialized views with in-process DuckDB caching in the control plane of Striim Developer — improving query performance 5–10x with zero added infra.

PostgreSQL for OLTP, DuckDB for Operational OLAP. But I won't call it HTAP đŸ€
Linked Data Benchmark Council (@ldbcouncil) 's Twitter Profile Photo

LDBC will hold the next Technical User Community meeting in London on September 6, after the VLDB conference. The call for talks is open – submit your work on graph data management: ldbcouncil.org/event/twentiet