Home/Compare/MyScaleDB vs pgvector

Comparison

MyScaleDB vs pgvector

Verdict

Pick MyScaleDB if myScaleDB is a ClickHouse-derived system designed to enhance performance for vector and full-text searches. It integrates SQL support with advanced features like embedding-based search and image 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 · MyScaleDB alternatives · pgvector alternatives

GraphCanon updated Sep 20, 2026

5views this month

MyScaleDB logo

MyScaleDB

myscale/MyScaleDB

★ 1.0kpushed Feb 5, 2025
vs
pgvector logo

pgvector

pgvector/pgvector

★ 23kpushed Sep 10, 2026

Trust & integrity

SignalMyScaleDBpgvector
Maintenance
Dormant (592d 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

MyScaleDB
A @ClickHouse fork that supports high-performance vector search and full-text search.
pgvector
Open-source vector similarity search for Postgres

Stars

MyScaleDB
1.0k
pgvector
23k

Forks

MyScaleDB
73
pgvector
1.3k

Open issues

MyScaleDB
10
pgvector
16

Language

MyScaleDB
C++
pgvector
C

Adopt for

MyScaleDB
MyScaleDB is a ClickHouse-derived system designed to enhance performance for vector and full-text searches. It integrates SQL support with advanced features like embedding-based search and image 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

MyScaleDB
-
pgvector
-

Runtime

MyScaleDB
-
pgvector
-

License

MyScaleDB
Apache-2.0
pgvector
Other

Last pushed

MyScaleDB
Feb 5, 2025
pgvector
Sep 10, 2026

Categories

MyScaleDB
Data & Retrieval, Vector Databases
pgvector
Vector Databases

Trust and health

Maintenance

MyScaleDB
Dormant (18%)
pgvector
Active (82%)

Days since push

MyScaleDB
592d
pgvector
7d

Open issues (now)

MyScaleDB
10
pgvector
16

Stars delta

MyScaleDB
+6 (30d)
pgvector
+674 (30d)

Open issues delta

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

Full report

MyScaleDB
Trust report
pgvector
Trust report

Choose MyScaleDB if…

  • MyScaleDB is primarily C++; pgvector is C.
  • License: MyScaleDB is Apache-2.0, pgvector is Other.
  • Tags unique to MyScaleDB: ann, big-data, embedding, image-search.
  • Also covers Data & Retrieval.
  • - When your application requires both fast vector and full-text search capabilities within a single database system without compromising on performance.

When NOT to use MyScaleDB

  • - If your primary requirement is only standard relational data operations and does not include vector or full-text search capabilities, as MyScaleDB's strength lies in these specific areas.
  • - For cases where your application environment strictly avoids C++ based systems due to language-specific preferences or constraints.

Choose pgvector if…

  • pgvector is primarily C; MyScaleDB is C++.
  • License: pgvector is Other, MyScaleDB is Apache-2.0.
  • 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: MyScaleDB 1.0k · pgvector 23k (synced Sep 20, 2026).

Common questions

What is the difference between MyScaleDB and pgvector?
MyScaleDB: A @ClickHouse fork that supports high-performance vector search and full-text search.. pgvector: Open-source vector similarity search for Postgres. See the comparison table for live GitHub stats and shared categories.
When should I choose MyScaleDB over pgvector?
Choose MyScaleDB over pgvector when MyScaleDB is primarily C++; pgvector is C; License: MyScaleDB is Apache-2.0, pgvector is Other; Tags unique to MyScaleDB: ann, big-data, embedding, image-search; Also covers Data & Retrieval; - When your application requires both fast vector and full-text search capabilities within a single database system without compromising on performance.
When should I choose pgvector over MyScaleDB?
Choose pgvector over MyScaleDB when pgvector is primarily C; MyScaleDB is C++; License: pgvector is Other, MyScaleDB is Apache-2.0; 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 MyScaleDB?
- If your primary requirement is only standard relational data operations and does not include vector or full-text search capabilities, as MyScaleDB's strength lies in these specific areas. - For cases where your application environment strictly avoids C++ based systems due to language-specific preferences or constraints.
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 MyScaleDB or pgvector more popular on GitHub?
pgvector has more GitHub stars (23,049 vs 1,043). Stars measure visibility, not whether either tool fits your constraints.
Are MyScaleDB and pgvector open source?
Yes - both are open-source projects on GitHub (MyScaleDB: Apache-2.0, pgvector: Other).
Where can I find alternatives to MyScaleDB or pgvector?
GraphCanon lists graph-backed alternatives at MyScaleDB alternatives and pgvector alternatives (MyScaleDB 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, MyScaleDB or pgvector?
MyScaleDB: Dormant. 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 MyScaleDB and pgvector?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MyScaleDB trust report; pgvector trust report.

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