Topics

Databases

Relational, NoSQL and analytical databases, query engines and the storage under them

1239 stories in 30 days · 355 sources · Filter the feed

Latest stories See all →

  1. Visualizing the UK Milk Trade With Python and SQL (Dataraflow: Week 8)
  2. Are AI Agents Going to Shrink the Data Engineering Job Market?
  3. Five years after the fork, OpenSearch is slowly stepping out of AWS’s shadow
  4. Postgres Pricing: What Managed Hosting Costs in 2026
  5. Nigeria Bought 73 Times More Milk Than It Sold. I Almost Missed It.
  6. Saving to the Database and Publishing an Event Are Not One Operation
  7. I Thought SQL Would Be Easy. My Notebook Had Other Plans.
  8. AWS + Snowflake: What’s New and How to Build More Productive Data and AI Workflows
  9. Modernizing Enterprise Storage: How Automation and AI Are Changing Infrastructure Engineering
  10. Staff Engineer Interview: Your Kubernetes Autoscaler Doubled the Pods. Production Got Slower.
  11. Staff Engineer System Design Interview: Design a Payment Ledger That Survives Retries, Failovers…
  12. How to Schedule PostgreSQL Queries and Route Reports with Jinba
  13. Webcast: See our Developer-friendly Updates to Capella DBaaS
  14. IDEMIA Secure Transactions Achieves Industry-First EMVCo Certification for Post-Quantum Payment Cards
  15. [Day 37/100] Build Your Own Agent Memory Layer with Postgres and pgvector
  16. Dragonfly for AI frameworks: search, memory, and a Redis-compatible path to production
  17. How to Build a LlamaIndex Vector Store With TiDB
  18. How to Build a LlamaIndex Vector Store With TiDB
  19. How to Build a Full-Stack App With AI Without Setting Up Hosting or a Database
  20. Sampling Rows with SQL Queries
  21. RAG Architecture Patterns: Proxy, Caching, and Routing
  22. SQL Window Functions Explained Simply
  23. Write Skew — When Every Transaction Passes but the Data Becomes Wrong
  24. The Hidden Challenge of MongoDB Bidirectional Sync (And How to Solve It)

Videos

Podcasts

Recent episodes

  1. Why AI Alone Can’t Fix Your Sh*tty Data Models w/ Kyle Nesbit (Credible Data)
  2. The future is Postgres (Interview)
  3. The future is Postgres (Interview)
  4. Why Agents Love Supabase
  5. 10 Million QPS . . . Efficiently | Scaling Postgres 440
  6. The Social Security whistleblower who stopped DOGE from deleting 2.7 million lives
  7. Can data agents do real analysis?
  8. iOS 825: Your 2nd Brain on iOS - Parchment, Kan Do, Everlog, and More!
  9. #130 How Much Control Should You Give AI Agents? An Expert Talk with Exasol's Florian Wenzel & Jürgen Albertsen
  10. Text Search Battle Royale! | Scaling Postgres 439
  11. AI Can Write the Code. Can It Run the System? | Grepr CEO Jad Naous
  12. AI Can Write the Code. Can It Run the System? | Grepr CEO Jad Naous

From sources that build this

Keyboard shortcuts

On. Switch them off if they collide with your assistive tools; ? still opens this sheet.

Go to

Press g then the letter.

  • gh Latest
  • gs Sources
  • gm Media
  • gv Videos
  • gp Podcasts
  • gc Calendar
  • gd Decoder
  • gz Dataviz
  • ga Datasets
  • gb Blog
  • gk Markets
  • gj Careers
  • gn Prompt Notebook

On this page

  • / Focus search, where there is one
  • t Back to top
  • ? This list
  • Esc Close