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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 extends PostgreSQL with efficient vector similarity searches.

Markdown twin · dingo alternatives · pgvector alternatives

GraphCanon updated today

dingo logo

dingo

dingodb/dingo

★ 1.7kpushed Jul 10, 2026
vs
pgvector logo

pgvector

pgvector/pgvector

★ 22kpushed Jul 28, 2026

Trust & integrity

Signaldingopgvector
Maintenance
Steady (42d since push)
As of today · github_public_v1
Very active (0d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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
dingo trust reportpgvector trust reportTrust methodology

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
22k

Forks

dingo
265
pgvector
1.3k

Open issues

dingo
8
pgvector
14

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 extends PostgreSQL with efficient vector similarity searches.

Persona

dingo
-
pgvector
-

Runtime

dingo
-
pgvector
-

License

dingo
Apache-2.0
pgvector
Other

Last pushed

dingo
Jul 10, 2026
pgvector
Jul 28, 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
42d
pgvector
0d

Open issues (now)

dingo
8
pgvector
14

Stars delta

dingo
+2 (30d)
pgvector
Unknown

Open issues delta

dingo
0 (30d)
pgvector
Unknown

Full report

dingo
Trust 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
GitHubDetails

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.
  • When you need to perform approximate nearest neighbor or exact nearest neighbor searches on your vectors and prefer to keep the data within a PostgreSQL database.

When NOT to use pgvector

  • When the requirement is to have a standalone in-memory or distributed vector database system as pgvector remains strictly integrated with PostgreSQL.
  • For scenarios where high availability and clustering capabilities without manual intervention (beyond what standard PostgreSQL offers) are necessary.
  • If the application's performance benefits significantly from a pre-optimized engine tailored specifically towards vector searches, rather than leveraging an extension within PostgreSQL.
GitHubDetails

Explore

dingo trust report →pgvector trust report →Data & Retrieval category →Vector Databases category →All comparisonsStack workflowsTrending tools

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 22k (synced Aug 21, 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, nearest-neighbor-search; pgvector ships Docker support for self-hosted deployment; When you need to perform approximate nearest neighbor or exact nearest neighbor searches on your vectors and prefer to keep the data within a PostgreSQL database.
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?
When the requirement is to have a standalone in-memory or distributed vector database system as pgvector remains strictly integrated with PostgreSQL. For scenarios where high availability and clustering capabilities without manual intervention (beyond what standard PostgreSQL offers) are necessary. If the application's performance benefits significantly from a pre-optimized engine tailored specifically towards vector searches, rather than leveraging an extension within PostgreSQL.
Is dingo or pgvector more popular on GitHub?
pgvector has more GitHub stars (22,375 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 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: 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 trust report; pgvector trust report.

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