AINewsnow

DuckDB and Arrow Win AI Data Prep, Then Hit a Wall at Serving

This story is from 2026-10-18. It is preserved in the archive; the latest stories are on the live feed.

TL;DR — Columnar engines like Arrow, DuckDB, Polars, and GPU dataframes are built for scan-heavy, amortized access — ideal for building training sets, terrible for single-row inference lookups. The real value of Arrow in AI systems isn't query speed, it's zero-copy interchange between the offline c…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-18 13:16 · DEV Community — AI
    DuckDB and Arrow Win AI Data Prep, Then Hit a Wall at Serving

More stories

  1. DeepSeek releases V4.1-Flash-1017 with MIT-licensed weights and improved agentic coding — Vercel Blog
  2. NVIDIA RTX Spark Laptops Launch Globally With Local AI Agent Support — NVIDIA Blog
  3. MOSS-Image gains traction with fast generation and ecosystem support — r/StableDiffusion
  4. Amazon launches Bee Frontier AI wearable amid privacy concerns — CNBC Technology
  5. FLUX.3 Klein Image out on hugging face — r/StableDiffusion
  6. Anthropic pitches AI safety bill to US lawmakers — Politico Technology
  7. Anthropic Consults Law Firms to Develop AI Negotiation Agents — Techmeme
  8. Rokid opens Hong Kong flagship store with automated retail experience — South China Morning Post Tech

Get the daily brief of stories like this at 6:30 every morning →