Comparison
SeekStorm vs pgvecto.rs
Verdict
Pick SeekStorm if rust-based library & server for real-time vector & lexical search; pick pgvecto.rs if pgvecto.rs is a vector database extension for PostgreSQL, built in Rust, that supports scalable and low-latency vector search operations, including specific vector data types and distance calculations.
Markdown twin · SeekStorm alternatives · pgvecto.rs alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | SeekStorm | pgvecto.rs |
|---|---|---|
| Maintenance | Active (7d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (568d 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
- SeekStorm
- Vector & Lexical Search Library and Multi-tenancy Server
- pgvecto.rs
- Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres
Stars
- SeekStorm
- 1.9k
- pgvecto.rs
- 2.2k
Forks
- SeekStorm
- 69
- pgvecto.rs
- 86
Open issues
- SeekStorm
- 15
- pgvecto.rs
- 76
Language
- SeekStorm
- Rust
- pgvecto.rs
- Rust
Adopt for
- SeekStorm
- Rust-based library & server for real-time vector & lexical search
- pgvecto.rs
- pgvecto.rs is a vector database extension for PostgreSQL, built in Rust, that supports scalable and low-latency vector search operations, including specific vector data types and distance calculations.
Persona
- SeekStorm
- -
- pgvecto.rs
- -
Runtime
- SeekStorm
- -
- pgvecto.rs
- -
License
- SeekStorm
- Apache-2.0
- pgvecto.rs
- Apache-2.0
Last pushed
- SeekStorm
- Sep 12, 2026
- pgvecto.rs
- Feb 26, 2025
Categories
- SeekStorm
- Data & Retrieval, Vector Databases
- pgvecto.rs
- Vector Databases
Trust and health
Maintenance
- SeekStorm
- Active (82%)
- pgvecto.rs
- Dormant (18%)
Days since push
- SeekStorm
- 7d
- pgvecto.rs
- 568d
Open issues (now)
- SeekStorm
- 15
- pgvecto.rs
- 76
Stars delta
- SeekStorm
- +12 (30d)
- pgvecto.rs
- +7 (30d)
Open issues delta
- SeekStorm
- -3 (30d)
- pgvecto.rs
- 0 (30d)
Full report
- SeekStorm
- Trust report
- pgvecto.rs
- Trust report
Typed relationship
SeekStorm alternative pgvecto.rsSeekStorm and pgvecto.rs both offer vector search functionalities but SeekStorm highlights sub-millisecond speeds specifically, targeting efficiency.
Choose SeekStorm if…
- SeekStorm and pgvecto.rs both offer vector search functionalities but SeekStorm highlights sub-millisecond speeds specifically, targeting efficiency.
- Tags unique to SeekStorm: ai-search, bm25, dense-retrieval, enterprise-search.
- Also covers Data & Retrieval.
- SeekStorm ships Docker support for self-hosted deployment.
- Need Rust integration for complex search tasks combining dense, sparse, and full-text capabilities
When NOT to use SeekStorm
- Prefer Python or JavaScript environments over Rust for development
- Seeking only simple keyword-based or narrow-vector searches without hybrid features
Choose pgvecto.rs if…
- SeekStorm and pgvecto.rs both offer vector search functionalities but SeekStorm highlights sub-millisecond speeds specifically, targeting efficiency.
- Tags unique to pgvecto.rs: chatgpt, faiss, gpt, hacktoberfest.
- When you need to integrate vector search capabilities directly into an existing PostgreSQL database, as pgvecto.rs extends PostgreSQL with vector data types and distance calculations.
When NOT to use pgvecto.rs
- If your application does not require integration with PostgreSQL, as pgvecto.rs is specifically designed as an extension for PostgreSQL and does not offer standalone vector search capabilities.
- When you need a solution that supports vector dimensions beyond 65535, as pgvecto.rs is limited to this maximum dimension size.
- If you are looking for a solution that does not require the overhead of setting up and maintaining a PostgreSQL database, as pgvecto.rs is tightly coupled with PostgreSQL.
- When you need a vector database that supports more complex vector operations beyond the three distance calculations provided by pgvecto.rs.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (SeekStorm/SeekStorm) · observed Sep 20, 2026
- GitHub forks (SeekStorm/SeekStorm) · observed Sep 20, 2026
- Last push (SeekStorm/SeekStorm) · observed Sep 12, 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 (tensorchord/pgvecto.rs) · observed Sep 20, 2026
- GitHub forks (tensorchord/pgvecto.rs) · observed Sep 20, 2026
- Last push (tensorchord/pgvecto.rs) · observed Feb 26, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: SeekStorm 1.9k · pgvecto.rs 2.2k (synced Sep 20, 2026).
Common questions
- What is the difference between SeekStorm and pgvecto.rs?
- SeekStorm: Vector & Lexical Search Library and Multi-tenancy Server. pgvecto.rs: Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. See the comparison table for live GitHub stats and shared categories.
- When should I choose SeekStorm over pgvecto.rs?
- Choose SeekStorm over pgvecto.rs when SeekStorm and pgvecto.rs both offer vector search functionalities but SeekStorm highlights sub-millisecond speeds specifically, targeting efficiency; Tags unique to SeekStorm: ai-search, bm25, dense-retrieval, enterprise-search; Also covers Data & Retrieval; SeekStorm ships Docker support for self-hosted deployment; Need Rust integration for complex search tasks combining dense, sparse, and full-text capabilities.
- When should I choose pgvecto.rs over SeekStorm?
- Choose pgvecto.rs over SeekStorm when SeekStorm and pgvecto.rs both offer vector search functionalities but SeekStorm highlights sub-millisecond speeds specifically, targeting efficiency; Tags unique to pgvecto.rs: chatgpt, faiss, gpt, hacktoberfest; When you need to integrate vector search capabilities directly into an existing PostgreSQL database, as pgvecto.rs extends PostgreSQL with vector data types and distance calculations.
- When should I avoid SeekStorm?
- Prefer Python or JavaScript environments over Rust for development Seeking only simple keyword-based or narrow-vector searches without hybrid features
- When should I avoid pgvecto.rs?
- If your application does not require integration with PostgreSQL, as pgvecto.rs is specifically designed as an extension for PostgreSQL and does not offer standalone vector search capabilities. When you need a solution that supports vector dimensions beyond 65535, as pgvecto.rs is limited to this maximum dimension size. If you are looking for a solution that does not require the overhead of setting up and maintaining a PostgreSQL database, as pgvecto.rs is tightly coupled with PostgreSQL. When you need a vector database that supports more complex vector operations beyond the three distance calculations provided by pgvecto.rs.
- Is SeekStorm or pgvecto.rs more popular on GitHub?
- pgvecto.rs has more GitHub stars (2,186 vs 1,913). Stars measure visibility, not whether either tool fits your constraints.
- Are SeekStorm and pgvecto.rs open source?
- Yes - both are open-source projects on GitHub (SeekStorm: Apache-2.0, pgvecto.rs: Apache-2.0).
- Where can I find alternatives to SeekStorm or pgvecto.rs?
- GraphCanon lists graph-backed alternatives at SeekStorm alternatives and pgvecto.rs alternatives (SeekStorm markdown twin, pgvecto.rs 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, SeekStorm or pgvecto.rs?
- SeekStorm: Active. pgvecto.rs: Dormant. 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 SeekStorm and pgvecto.rs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SeekStorm trust report; pgvecto.rs trust report.