Themata.AI
Themata.AI

Popular tags:

#developer-tools#ai-agents#llms#claude#ai-ethics#code-generation#ai-safety#openai#anthropic#discussion

AI is changing the world. Don't stay behind. Clear summaries, community insight, delivered without the noise. Subscribe to never miss a beat.

© 2026 Themata.AI • All Rights Reserved

Archive

|

Topics

|

Privacy

|

Cookies

|

Contact
duckdbdata-processingfunctional-programmingdeveloper-tools

DuckDB – Data power tools for your laptop, now in Clojure (2023)

TechAscent - DuckDB

techascent.com

August 4, 2026

8 min read

🔥🔥🔥🔥🔥

47/100

Summary

DuckDB provides in-memory column-major data processing tools optimized for laptops, now available in Clojure. The tech.ml.dataset (TMD) platform allows users to handle large datasets by operating on samples or filtering subsets, and supports data persistence with nippy, arrow, or par.

Key Takeaways

  • DuckDB has improved its C interface to provide a batched system for inserts and querying, allowing for efficient processing of large joins.
  • A 50GB CSV file containing 400 million rows can be loaded into DuckDB in approximately 2 minutes, reducing the file size to 18GB with automatic index creation.
  • DuckDB's state-of-the-art vectorized SQL execution engine is now accessible through Clojure via the tech.ml.dataset (TMD) platform.
  • DuckDB is designed to handle large datasets efficiently without requiring complex cluster setups, making it suitable for local data processing.
Read original article

Community Sentiment

Positive

Positives

  • LLMs have revolutionized how we interact with databases, making complex queries feel effortless — it's a game-changer for data analysis.
  • DuckDB's performance is impressive, especially for handling diverse data types and complex queries — it's proving to be a powerhouse in production systems.
  • Developing such a high-quality tool in an open manner is extremely commendable, highlighting the community's dedication to innovation.
  • The DuckDB CLI's ability to load various data formats, including gzipped JSON lines, shows its versatility and power for real-time data querying.