The Curious Engineer

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ParadeDB

paradedb.com

Engineering deep dives, product and company announcements, and guides from the ParadeDB team.

DatabasesPerformance / optimization

Posts
28 from 31 Aug 2023 to 27 Oct 2026
Posting
monthly (14 in the last year)
Kind
company blog
Feed
https://www.paradedb.com/feed.xml

2026 10

  1. Do We Still Have to Denormalize? Have Your Schema and Search It Too
  2. Making COUNTs and the Rest of Search Really Fast (Part II)
  3. PlanetScale Released Text Search and We Have a Lot to Say (Part I)
  4. Same Query, Three Results: Benchmarking ParadeDB and Postgres FTS
  5. ParadeDB is Officially on Render
  6. What We Think About When We Think About Benchmarking
  7. ParadeDB is Officially on Railway
  8. A Conversation with Paul Masurel, Creator of Tantivy
  9. How We Optimized Top K in Postgres
  10. Postgres as a Recommender Engine

2025 12

  1. Postgres as a Search Engine: The Write Performance Problem
  2. Teaching Postgres to Facet Like Elasticsearch
  3. Deep Dive into ParadeDB's v2 API: The Future of SQL Search
  4. ParadeDB 0.20.0: Simpler and Faster
  5. Hybrid Search in PostgreSQL: The Missing Manual
  6. From Text to Token: How Tokenization Pipelines Work
  7. The ACID Test: Why We Think Search Needs Transactions
  8. Elasticsearch Was Never a Database
  9. Syncing with Postgres: Logical Replication vs. ETL
  10. Announcing Our $12M Series A
  11. We Made Postgres Writes Faster, but it Broke Replication
  12. A New Postgres Block Storage Layout for Full Text Search

2024 4

  1. Similarity Search with SPLADE Inside Postgres
  2. We've Rebranded
  3. Why We Picked AGPL
  4. Full Text Search over Postgres: Elasticsearch vs. Alternatives

2023 2

  1. pg_search: Elastic-Quality Full Text Search Inside Postgres
  2. Introducing ParadeDB