Comparison
infinispan vs pgvector
Verdict
Pick infinispan if infinispan serves as an open-source distributed NoSQL data grid with advanced in-memory caching and persistence features; 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 · infinispan alternatives · pgvector alternatives
GraphCanon updated Sep 20, 2026
16views this month
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Trust & integrity
| Signal | infinispan | pgvector |
|---|---|---|
| Maintenance | Very active (1d 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
- infinispan
- Highly scalable NoSQL cloud data store and in-memory cache platform
- pgvector
- Open-source vector similarity search for Postgres
Stars
- infinispan
- 1.4k
- pgvector
- 23k
Forks
- infinispan
- 654
- pgvector
- 1.3k
Open issues
- infinispan
- 342
- pgvector
- 16
Language
- infinispan
- Java
- pgvector
- C
Adopt for
- infinispan
- Infinispan serves as an open-source distributed NoSQL data grid with advanced in-memory caching and persistence features.
- 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
- infinispan
- -
- pgvector
- -
Runtime
- infinispan
- -
- pgvector
- -
License
- infinispan
- Apache-2.0
- pgvector
- Other
Last pushed
- infinispan
- Sep 19, 2026
- pgvector
- Sep 10, 2026
Categories
- infinispan
- Data & Retrieval, Vector Databases
- pgvector
- Vector Databases
Trust and health
Maintenance
- infinispan
- Very active (96%)
- pgvector
- Active (82%)
Days since push
- infinispan
- 1d
- pgvector
- 7d
Open issues (now)
- infinispan
- 342
- pgvector
- 16
Stars delta
- infinispan
- +13 (30d)
- pgvector
- +674 (30d)
Open issues delta
- infinispan
- -106 (30d)
- pgvector
- +2 (30d)
Full report
- infinispan
- Trust report
- pgvector
- Trust report
Typed relationship
infinispan alternative pgvectorInfinispan and pgVector both provide vector similarity search capabilities, but they are implemented differently: Infinispan as a separate NoSQL cloud data store with broader functionality while pgVector is an extension for Postgres to add vector similarity indexing.
Choose infinispan if…
- infinispan is primarily Java; pgvector is C.
- License: infinispan is Apache-2.0, pgvector is Other.
- Infinispan and pgVector both provide vector similarity search capabilities, but they are implemented differently: Infinispan as a separate NoSQL cloud data store with broader functionality while pgVector is an extension for Postgres to add vector similarity indexing.
- Tags unique to infinispan: datagrid, infinispan, inmemory-cache, key-value-store.
- Also covers Data & Retrieval.
- When you need a scalable in-memory cache platform paired with persistent storage capabilities
When NOT to use infinispan
- If your application does not require high-speed in-memory lookups and caches
- In scenarios where NoSQL integration is unnecessary or conflicts with existing relational databases
Choose pgvector if…
- pgvector is primarily C; infinispan is Java.
- License: pgvector is Other, infinispan is Apache-2.0.
- Infinispan and pgVector both provide vector similarity search capabilities, but they are implemented differently: Infinispan as a separate NoSQL cloud data store with broader functionality while pgVector is an extension for Postgres to add vector similarity indexing.
- 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 (infinispan/infinispan) · observed Sep 20, 2026
- GitHub forks (infinispan/infinispan) · observed Sep 20, 2026
- Last push (infinispan/infinispan) · observed Sep 19, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 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: infinispan 1.4k · pgvector 23k (synced Sep 20, 2026).
Common questions
- What is the difference between infinispan and pgvector?
- infinispan: Highly scalable NoSQL cloud data store and in-memory cache platform. pgvector: Open-source vector similarity search for Postgres. See the comparison table for live GitHub stats and shared categories.
- When should I choose infinispan over pgvector?
- Choose infinispan over pgvector when infinispan is primarily Java; pgvector is C; License: infinispan is Apache-2.0, pgvector is Other; Infinispan and pgVector both provide vector similarity search capabilities, but they are implemented differently: Infinispan as a separate NoSQL cloud data store with broader functionality while pgVector is an extension for Postgres to add vector similarity indexing; Tags unique to infinispan: datagrid, infinispan, inmemory-cache, key-value-store; Also covers Data & Retrieval; When you need a scalable in-memory cache platform paired with persistent storage capabilities.
- When should I choose pgvector over infinispan?
- Choose pgvector over infinispan when pgvector is primarily C; infinispan is Java; License: pgvector is Other, infinispan is Apache-2.0; Infinispan and pgVector both provide vector similarity search capabilities, but they are implemented differently: Infinispan as a separate NoSQL cloud data store with broader functionality while pgVector is an extension for Postgres to add vector similarity indexing; 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 infinispan?
- If your application does not require high-speed in-memory lookups and caches In scenarios where NoSQL integration is unnecessary or conflicts with existing relational databases
- 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 infinispan or pgvector more popular on GitHub?
- pgvector has more GitHub stars (23,049 vs 1,352). Stars measure visibility, not whether either tool fits your constraints.
- Are infinispan and pgvector open source?
- Yes - both are open-source projects on GitHub (infinispan: Apache-2.0, pgvector: Other).
- Where can I find alternatives to infinispan or pgvector?
- GraphCanon lists graph-backed alternatives at infinispan alternatives and pgvector alternatives (infinispan 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, infinispan or pgvector?
- infinispan: Very active. 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 infinispan and pgvector?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: infinispan trust report; pgvector trust report.