Episode

What's New in Tiger Cloud: Bigger Performance Gains, Wider Platform Reach, Better Visibility

Podcast
The Good Tech Companies
Published
Jul 22, 2026
Duration seconds
542
Processing state
not_requested
Canonical source
https://share.transistor.fm/s/1f1e7ab6
Audio
https://media.transistor.fm/1f1e7ab6/389bfb2b.mp3
JSON
/v1/public/podcasts/the-good-tech-companies-6882802/episodes/what-s-new-in-tiger-cloud-bigger-performance-gains-wider-platform-reach-better-visibility
Markdown
/podcast/the-good-tech-companies-6882802/what-s-new-in-tiger-cloud-bigger-performance-gains-wider-platform-reach-better-visibility.md

Actions

  • POST https://stenobird.com/v1/public/podcasts/the-good-tech-companies-6882802/episodes/what-s-new-in-tiger-cloud-bigger-performance-gains-wider-platform-reach-better-visibility/transcription-requests
    Idempotently request low-priority transcript generation for this episode.
  • GET https://stenobird.com/podcast/the-good-tech-companies-6882802/what-s-new-in-tiger-cloud-bigger-performance-gains-wider-platform-reach-better-visibility.md
    Read the agent-friendly Markdown representation of this episode resource.

Summary

This story was originally published on HackerNoon at: https://hackernoon.com/whats-new-in-tiger-cloud-bigger-performance-gains-wider-platform-reach-better-visibility . Explore Tiger Cloud's latest updates, including 160× faster compressed writes, native BM25 search, 80,000 IOPS storage, and enterprise-grade Postgres. Check more stories related to undefined at: https://hackernoon.com/c/undefined . You can also check exclusive content about #tiger-cloud-private-endpoint , #postgres-operational-analytics , #timescaledb-optimization , #postgres-pg_textsearch-bm25 , #postgresql-source-connector , #tiger-cloud-q3-2026-updates , #compression-performance , #good-company , and more. This story was written by: @tigerdata . Learn more about this writer by checking @tigerdata's about page, and for more stories, please visit hackernoon.com . Tiger Cloud's latest release focuses on helping teams scale Postgres without adding extra infrastructure. Highlights include up to 160× faster writes on compressed data, 70× faster aggregate queries, native BM25 full-text search with pg_textsearch, storage scaling to 80,000 IOPS and 64 TB, simplified hypertable management, production-ready Postgres replication, and stronger enterprise networking, backup, and observability.