Comparison
pgvector vs tidb
Verdict
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; pick tidb if tiDB is a scalable, cloud-native database that supports both transactional and analytical processing with ACID guarantees.
Markdown twin · pgvector alternatives · tidb alternatives
GraphCanon updated Sep 20, 2026
30views this month
Trust & integrity
| Signal | pgvector | tidb |
|---|---|---|
| Maintenance | Active (7d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Aug 19, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 19, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Jul 11, 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
- pgvector
- Open-source vector similarity search for Postgres
- tidb
- Scalable, cloud-native database with ACID transactions and vector search support.
Stars
- pgvector
- 23k
- tidb
- 40k
Forks
- pgvector
- 1.3k
- tidb
- 6.2k
Open issues
- pgvector
- 16
- tidb
- 6.8k
Language
- pgvector
- C
- tidb
- Go
Adopt for
- 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.
- tidb
- TiDB is a scalable, cloud-native database that supports both transactional and analytical processing with ACID guarantees.
Persona
- pgvector
- -
- tidb
- -
Runtime
- pgvector
- -
- tidb
- -
License
- pgvector
- Other
- tidb
- Apache-2.0
Last pushed
- pgvector
- Sep 10, 2026
- tidb
- Aug 18, 2026
Categories
- pgvector
- Vector Databases
- tidb
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- pgvector
- Active (82%)
- tidb
- Very active (96%)
Days since push
- pgvector
- 7d
- tidb
- 0d
Open issues (now)
- pgvector
- 16
- tidb
- 6.8k
Stars delta
- pgvector
- +674 (30d)
- tidb
- +134 (30d)
Open issues delta
- pgvector
- +2 (30d)
- tidb
- +230 (30d)
OSV dependency advisories
- pgvector
- No lockfile (source not queried)
- tidb
- Published findings
Full report
- pgvector
- Trust report
- tidb
- Trust report
Typed relationship
pgvector alternative tidbBoth TiDB and pgvector provide vector similarity search capabilities, but for different database systems. pgvector is specifically designed for PostgreSQL, while TiDB supports a broader feature set including distributed transactions.
Choose pgvector if…
- pgvector is primarily C; tidb is Go.
- License: pgvector is Other, tidb is Apache-2.0.
- Both TiDB and pgvector provide vector similarity search capabilities, but for different database systems. pgvector is specifically designed for PostgreSQL, while TiDB supports a broader feature set including distributed transactions.
- Tags unique to pgvector: approximate-nearest-neighbor-search, c-language, docker-support, l2-distance.
- 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.
Choose tidb if…
- tidb is primarily Go; pgvector is C.
- License: tidb is Apache-2.0, pgvector is Other.
- Both TiDB and pgvector provide vector similarity search capabilities, but for different database systems. pgvector is specifically designed for PostgreSQL, while TiDB supports a broader feature set including distributed transactions.
- Tags unique to tidb: agent, agent-context, agent-memory, agentic.
- Also covers Data & Retrieval.
- When your workload requires high scalability and you need both transactional and analytical operations (HTAP) without performance degradation. TiDB's distributed architecture ensures consistent low延迟的
When NOT to use tidb
- If your primary focus is on a traditional relational database with limited transactional and minimal analytics needs, TiDB's complexity and overhead may not be justified.
- ，TiDB。
- If you require strong geographic data distribution requirements that exceed the capabilities of a single database system, consider whether TiDB’s distributed setup meets your specific geographical and
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (pingcap/tidb) · observed Sep 20, 2026
- GitHub forks (pingcap/tidb) · observed Sep 20, 2026
- Last push (pingcap/tidb) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: pgvector 23k · tidb 40k (synced Sep 20, 2026).
Common questions
- What is the difference between pgvector and tidb?
- pgvector: Open-source vector similarity search for Postgres. tidb: Scalable, cloud-native database with ACID transactions and vector search support.. See the comparison table for live GitHub stats and shared categories.
- When should I choose pgvector over tidb?
- Choose pgvector over tidb when pgvector is primarily C; tidb is Go; License: pgvector is Other, tidb is Apache-2.0; Both TiDB and pgvector provide vector similarity search capabilities, but for different database systems. pgvector is specifically designed for PostgreSQL, while TiDB supports a broader feature set including distributed transactions; Tags unique to pgvector: approximate-nearest-neighbor-search, c-language, docker-support, l2-distance; When you need to perform vector similarity searches within a PostgreSQL database and require support for multiple distance metrics.
- When should I choose tidb over pgvector?
- Choose tidb over pgvector when tidb is primarily Go; pgvector is C; License: tidb is Apache-2.0, pgvector is Other; Both TiDB and pgvector provide vector similarity search capabilities, but for different database systems. pgvector is specifically designed for PostgreSQL, while TiDB supports a broader feature set including distributed transactions; Tags unique to tidb: agent, agent-context, agent-memory, agentic; Also covers Data & Retrieval; When your workload requires high scalability and you need both transactional and analytical operations (HTAP) without performance degradation. TiDB's distributed architecture ensures consistent low延迟的.
- 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.
- When should I avoid tidb?
- If your primary focus is on a traditional relational database with limited transactional and minimal analytics needs, TiDB's complexity and overhead may not be justified. ，TiDB。 If you require strong geographic data distribution requirements that exceed the capabilities of a single database system, consider whether TiDB’s distributed setup meets your specific geographical and
- Is pgvector or tidb more popular on GitHub?
- tidb has more GitHub stars (40,446 vs 23,049). Stars measure visibility, not whether either tool fits your constraints.
- Are pgvector and tidb open source?
- Yes - both are open-source projects on GitHub (pgvector: Other, tidb: Apache-2.0).
- Where can I find alternatives to pgvector or tidb?
- GraphCanon lists graph-backed alternatives at pgvector alternatives and tidb alternatives (pgvector markdown twin, tidb 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, pgvector or tidb?
- pgvector: Active. tidb: 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 pgvector and tidb?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pgvector trust report; tidb trust report.