vs

ParadeDB vs VectorChord

ParadeDB: Elasticsearch-quality BM25 search and fast aggregations inside Postgres via the pg_search extension. VectorChord: Disk-friendly Postgres vector extension using IVF + RaBitQ, the successor to pgvecto.rs.

key differences

  • ParadeDB is primarily a search engine database; VectorChord is vector.
  • VectorChord is built for larger datasets (≤ 1 PB) than ParadeDB (≤ 10 TB).
  • Only ParadeDB has columnar storage.

choose paradedb for

  • +Search inside a Postgres-backed SaaS app
  • +Hybrid search for RAG next to relational data
  • +Faceted catalog and marketplace search
  • +Replacing Elasticsearch + ETL with one database

best at · Search, Vector search, RAG

choose vectorchord for

  • +Scaling Postgres vector search past pgvector's comfort zone
  • +Cost-efficient disk-based RAG retrieval
  • +Hybrid BM25 plus vector search in Postgres

best at · Vector search, RAG, OLTP

overview
Primary model
Search Engine
Vector
Also supports
Relational, Vector
Relational
Type
Extension
Extension
Status
Active
Active
Developer
ParadeDB, Inc.
TensorChord Inc.
First release
2023
2024
Latest version
0.26.3 (Oct 22, 2026)
1.1.1 (Feb 28, 2026)
License
Open source (copyleft)GNU AGPL v3 (Community); commercial license for Enterprise
Open source (copyleft)AGPL-3.0 or Elastic License 2.0 (dual)
Free tier
✓
✓
popularity
WhichDB Score
25.1
13.7
Rank
#122
#250
GitHub stars
9.5K
1.8K
Stack Overflow questions
–
–
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Large (≤ 1 PB)
Horizontal scaling
None
None
Multi-region
Read replicas
Read replicas
ACID
Full
Full
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Single node, Primary replica, Client server
Single node, Primary replica, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
Railway, Render, Fly.io, DigitalOcean
–
capabilities
Transactions
✓
✓
Joins
✓
✓
Secondary indexes
✓
✓
Full-text search
✓
✓
Vector search
✓
✓
Geospatial
—
—
JSON
✓
✓
Change data capture
✓
✓
Triggers
✓
✓
Stored procedures
✓
✓
Materialized views
✓
✓
TTL / expiry
—
—
Pub/Sub
✓
✓
Columnar storage
✓
—
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
—
—
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
✓
✓
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL
SQL
Client languages
Any PostgreSQL driver
Any PostgreSQL driver
Best for
Search, Vector search, RAG, Real-time analytics
Vector search, RAG, OLTP

ParadeDB vs VectorChord: FAQ

What is the difference between ParadeDB and VectorChord?

ParadeDB: Elasticsearch-quality BM25 search and fast aggregations inside Postgres via the pg_search extension. VectorChord: Disk-friendly Postgres vector extension using IVF + RaBitQ, the successor to pgvecto.rs. ParadeDB is primarily a search engine database; VectorChord is vector. VectorChord is built for larger datasets (≤ 1 PB) than ParadeDB (≤ 10 TB). Only ParadeDB has columnar storage.

When should I choose ParadeDB over VectorChord?

Choose ParadeDB for search inside a Postgres-backed SaaS app; hybrid search for RAG next to relational data; and faceted catalog and marketplace search. Choose VectorChord for scaling Postgres vector search past pgvector's comfort zone, cost-efficient disk-based RAG retrieval and hybrid BM25 plus vector search in Postgres.

Is ParadeDB or VectorChord more popular?

ParadeDB ranks #122 on the WhichDB Score (25.1/100) and VectorChord ranks #250 (13.7/100). Popularity is not fit: check the requirements that matter for your project.

Are ParadeDB and VectorChord open source?

Yes. ParadeDB is open source. License: GNU AGPL v3 (Community); commercial license for Enterprise. Yes. VectorChord is open source. License: AGPL-3.0 or Elastic License 2.0 (dual).