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
Trust & integrity
| Signal | dingo | pgvector |
|---|---|---|
| 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
- dingo
- Trust report
- pgvector
- Trust report
Typed relationship
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 (dingodb/dingo) · observed Sep 20, 2026
- GitHub forks (dingodb/dingo) · observed Sep 20, 2026
- Last push (dingodb/dingo) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pgvector/pgvector) · observed Sep 20, 2026
- GitHub forks (pgvector/pgvector) · observed Sep 20, 2026
- Last push (pgvector/pgvector) · observed Sep 10, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
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.