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Comparison

dingo vs pgvector

dingo (Multi-modal vector database supporting unified SQL access to structured and unstructured data) vs pgvector (Open-source vector similarity search for Postgres) - live GitHub stats and typed graph relationships, not marketing.

Markdown twin · dingo alternatives · pgvector alternatives

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dingo

dingodb/dingo

1.7kpushed May 25, 2026
vs

pgvector

pgvector/pgvector

22kpushed Jul 7, 2026

Tagline

dingo
Multi-modal vector database supporting unified SQL access to structured and unstructured data
pgvector
Open-source vector similarity search for Postgres

Stars

dingo
1.7k
pgvector
22k

Forks

dingo
264
pgvector
1.2k

Open issues

dingo
8
pgvector
14

Language

dingo
Java
pgvector
C

Adopt for

dingo
-
pgvector
<ul><li><strong>Open-source vector similarity search:</strong> pgvector extends PostgreSQL for exact and approximate nearest neighbor search on various types of vectors.</li><li><strong>C-based library:</strong> Written,

Persona

dingo
-
pgvector
-

Runtime

dingo
-
pgvector
-

License

dingo
Apache-2.0
pgvector
Other

Last pushed

dingo
May 25, 2026
pgvector
Jul 7, 2026

Categories

dingo
Data & Retrieval, Vector Databases
pgvector
Vector Databases

Trust and health

Maintenance

dingo
Steady (60%)
pgvector
Very active (96%)

Days since push

dingo
43d
pgvector
0d

Open issues (now)

dingo
8
pgvector
14

Security scan

dingo
Not scanned
pgvector
No lockfile

Full report

pgvector
Trust report

Typed relationship

dingo alternative pgvectorBoth Dingo and pgVector extend databases with vector search capabilities, although Dingo focuses specifically on a multi-modal database system with SQL support.

Choose dingo if…

  • dingo is primarily Java; pgvector is C.
  • License: dingo is Apache-2.0, pgvector is Other.
  • Both Dingo and pgVector extend databases with vector search capabilities, although Dingo focuses specifically on a multi-modal database system with SQL support.
  • Tags unique to dingo: key-value-distributed-store, real-time-semantic-search, embedding-search, serving.
  • Also covers Data & Retrieval.

When NOT to use dingo

  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

Choose pgvector if…

  • pgvector is primarily C; dingo is Java.
  • License: pgvector is Other, dingo is Apache-2.0.
  • Both Dingo and pgVector extend databases with vector search capabilities, although Dingo focuses specifically on a multi-modal database system with SQL support.
  • Tags unique to pgvector: approximate-nearest-neighbor-search, nearest-neighbor-search.
  • pgvector ships Docker support for self-hosted deployment.
  • You prefer an open-source solution for integrating vector similarity search with existing Postgres databases, offering ACID compliance and robust data management features.

When NOT to use pgvector

  • You are working on Windows environments without access to C++ support tools required for native compilation; alternative installation methods like Docker might introduce additional setup complexity.
  • Your project requires real-time search operations with extremely low latency that may not be fully satisfied by the PostgreSQL infrastructure underlying pgvector.

Explore

Related comparisons

Common questions

What is the difference between dingo and pgvector?
dingo: Multi-modal vector database supporting unified SQL access to structured and unstructured data. pgvector: Open-source vector similarity search for Postgres. See the comparison table for live GitHub stats and shared categories.
When should I choose dingo over pgvector?
Choose dingo over pgvector when dingo is primarily Java; pgvector is C; License: dingo is Apache-2.0, pgvector is Other; Both Dingo and pgVector extend databases with vector search capabilities, although Dingo focuses specifically on a multi-modal database system with SQL support; Tags unique to dingo: key-value-distributed-store, real-time-semantic-search, embedding-search, serving; Also covers Data & Retrieval.
When should I choose pgvector over dingo?
Choose pgvector over dingo when pgvector is primarily C; dingo is Java; License: pgvector is Other, dingo is Apache-2.0; Both Dingo and pgVector extend databases with vector search capabilities, although Dingo focuses specifically on a multi-modal database system with SQL support; Tags unique to pgvector: approximate-nearest-neighbor-search, nearest-neighbor-search; pgvector ships Docker support for self-hosted deployment; You prefer an open-source solution for integrating vector similarity search with existing Postgres databases, offering ACID compliance and robust data management features.
When should I avoid dingo?
Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
When should I avoid pgvector?
You are working on Windows environments without access to C++ support tools required for native compilation; alternative installation methods like Docker might introduce additional setup complexity. Your project requires real-time search operations with extremely low latency that may not be fully satisfied by the PostgreSQL infrastructure underlying pgvector.
Is dingo or pgvector more popular on GitHub?
pgvector has more GitHub stars (22,112 vs 1,701). Stars measure visibility, not whether either tool fits your constraints.
Are dingo and pgvector open source?
Yes - both are open-source projects on GitHub (dingo: Apache-2.0, pgvector: Other).
Where can I find alternatives to dingo or pgvector?
GraphCanon lists graph-backed alternatives at /tools/dingodb-dingo/alternatives and /tools/pgvector-pgvector/alternatives (/tools/dingodb-dingo/alternatives.md, /tools/pgvector-pgvector/alternatives.md), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at /compare/dingodb-dingo-vs-pgvector-pgvector.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, dingo or pgvector?
dingo: Steady. pgvector: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for dingo and pgvector?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dingo: /tools/dingodb-dingo/trust; pgvector: /tools/pgvector-pgvector/trust.

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