Home/Compare/dingo vs pgvector

Comparison

dingo vs pgvector

Verdict

Pick dingo if dingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search; pick pgvector if pgvector is an extension for PostgreSQL that enables efficient vector similarity search using various distance metrics, including L2, inner product, cosine distance, and L1 distance.

Markdown twin · dingo alternatives · pgvector alternatives

GraphCanon updated Sep 20, 2026

14views this month

dingo logo

dingo

dingodb/dingo

★ 1.7kpushed Jul 10, 2026
vs
pgvector logo

pgvector

pgvector/pgvector

★ 23kpushed Sep 10, 2026

Trust & integrity

Signaldingopgvector
Maintenance
Steady (71d since push)
As of Sep 20, 2026 · github_public_v1
Active (7d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

dingo
A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data
pgvector
Open-source vector similarity search for Postgres

Stars

dingo
1.7k
pgvector
23k

Forks

dingo
264
pgvector
1.3k

Open issues

dingo
8
pgvector
16

Language

dingo
Java
pgvector
C

Adopt for

dingo
DingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search.
pgvector
pgvector is an extension for PostgreSQL that enables efficient vector similarity search using various distance metrics, including L2, inner product, cosine distance, and L1 distance.

Persona

dingo
-
pgvector
-

Runtime

dingo
-
pgvector
-

License

dingo
Apache-2.0
pgvector
Other

Last pushed

dingo
Jul 10, 2026
pgvector
Sep 10, 2026

Categories

dingo
Data & Retrieval, Vector Databases
pgvector
Vector Databases

Trust and health

Maintenance

dingo
Steady (60%)
pgvector
Active (82%)

Days since push

dingo
71d
pgvector
7d

Open issues (now)

dingo
8
pgvector
16

Stars delta

dingo
+5 (30d)
pgvector
+674 (30d)

Open issues delta

dingo
0 (30d)
pgvector
+2 (30d)

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: embedding-search, embedding-store, hybrid-search, key-value-distributed-store.
  • Also covers Data & Retrieval.
  • You need a unified SQL interface for vector queries on diverse data types

When NOT to use dingo

  • If your application strictly demands non-SQL interfaces for querying
  • When the Apache-2.0 license is incompatible with your project requirements

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, c-language, docker-support, l2-distance.
  • pgvector ships Docker support for self-hosted deployment.
  • When you need to perform vector similarity searches within a PostgreSQL database and require support for multiple distance metrics.

When NOT to use pgvector

  • If your application does not require the full feature set of PostgreSQL and you are looking for a lightweight solution specifically designed for vector similarity searches.
  • When you need real-time, low-latency vector similarity searches that might be better served by specialized vector databases or in-memory solutions.
  • If you are working in an environment where PostgreSQL is not supported or where you need to integrate with a different database system.
  • When you require a solution that supports more advanced indexing techniques or approximate nearest neighbor search algorithms that are not natively supported by pgvector.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: dingo 1.7k · pgvector 23k (synced Sep 20, 2026).

Common questions

What is the difference between dingo and pgvector?
dingo: A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on 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: embedding-search, embedding-store, hybrid-search, key-value-distributed-store; Also covers Data & Retrieval; You need a unified SQL interface for vector queries on diverse data types.
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, c-language, docker-support, l2-distance; pgvector ships Docker support for self-hosted deployment; When you need to perform vector similarity searches within a PostgreSQL database and require support for multiple distance metrics.
When should I avoid dingo?
If your application strictly demands non-SQL interfaces for querying When the Apache-2.0 license is incompatible with your project requirements
When should I avoid pgvector?
If your application does not require the full feature set of PostgreSQL and you are looking for a lightweight solution specifically designed for vector similarity searches. When you need real-time, low-latency vector similarity searches that might be better served by specialized vector databases or in-memory solutions. If you are working in an environment where PostgreSQL is not supported or where you need to integrate with a different database system. When you require a solution that supports more advanced indexing techniques or approximate nearest neighbor search algorithms that are not natively supported by pgvector.
Is dingo or pgvector more popular on GitHub?
pgvector has more GitHub stars (23,049 vs 1,704). 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 dingo alternatives and pgvector alternatives (dingo markdown twin, pgvector markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison 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: 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 trust report; pgvector trust report.

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