---
title: "infinispan vs pgvector"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/infinispan-infinispan-vs-pgvector-pgvector"
tools: ["infinispan-infinispan", "pgvector-pgvector"]
---

# infinispan vs pgvector

Neutral, constraint-first comparison with live GitHub stats.

| | [infinispan](/tools/infinispan-infinispan.md) | [pgvector](/tools/pgvector-pgvector.md) |
| --- | --- | --- |
| Tagline | Infinispan is an open source data grid platform and highly scalable NoSQL cloud data store. | Open-source vector similarity search for Postgres |
| Stars | 1,338 | 22,112 |
| Forks | 653 | 1,233 |
| Open issues | 444 | 14 |
| Language | Java | C |
| Adopt for | - | <ul><li><strong>Open-source vector similarity search:</strong> pgvector extends PostgreSQL for exact and approximate nearest neighbor search on various types of vectors.</li><li><strong>C-based library:</strong> Written, |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Other |
| Categories | Vector Databases, Data & Retrieval | Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [infinispan](/tools/infinispan-infinispan.md) | [pgvector](/tools/pgvector-pgvector.md) |
| --- | --- | --- |
| Open issues (now) | 444 | 14 |
| Security scan | Not scanned | No lockfile |
| Full report | [trust report](/tools/infinispan-infinispan/trust.md) | [trust report](/tools/pgvector-pgvector/trust.md) |

**Typed relationship:** infinispan _(alternative)_ pgvector

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.

## Decision facts: pgvector

- **Adopt for:** <ul><li><strong>Open-source vector similarity search:</strong> pgvector extends PostgreSQL for exact and approximate nearest neighbor search on various types of vectors.</li><li><strong>C-based library:</strong> Written,

## Choose when

### 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: vector-database, nosql, datagrid, persistent-storage.
- Also covers Data & Retrieval.

### 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, nearest-neighbor-search.
- pgvector ships Docker support for self-hosted deployment.
- You prefer an open-source solution for integrating vector similarity search with existing Postgres databases, offering ACID compliance and robust data management features.

## When NOT to use infinispan

- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.

## When NOT to use pgvector

- You are working on Windows environments without access to C++ support tools required for native compilation; alternative installation methods like Docker might introduce additional setup complexity.
- Your project requires real-time search operations with extremely low latency that may not be fully satisfied by the PostgreSQL infrastructure underlying pgvector.

## Common questions

### What is the difference between infinispan and pgvector?

infinispan: Infinispan is an open source data grid platform and highly scalable NoSQL cloud data store.. 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: vector-database, nosql, datagrid, persistent-storage; Also covers Data & Retrieval.

### 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, nearest-neighbor-search; pgvector ships Docker support for self-hosted deployment; You prefer an open-source solution for integrating vector similarity search with existing Postgres databases, offering ACID compliance and robust data management features.

### When should I avoid infinispan?

Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.

### When should I avoid pgvector?

You are working on Windows environments without access to C++ support tools required for native compilation; alternative installation methods like Docker might introduce additional setup complexity. Your project requires real-time search operations with extremely low latency that may not be fully satisfied by the PostgreSQL infrastructure underlying pgvector.

### Is infinispan or pgvector more popular on GitHub?

pgvector has more GitHub stars (22,112 vs 1,338). 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 /tools/infinispan-infinispan/alternatives and /tools/pgvector-pgvector/alternatives (/tools/infinispan-infinispan/alternatives.md, /tools/pgvector-pgvector/alternatives.md), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at /compare/infinispan-infinispan-vs-pgvector-pgvector.md 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: 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 infinispan and pgvector?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: infinispan: /tools/infinispan-infinispan/trust; pgvector: /tools/pgvector-pgvector/trust.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=infinispan-infinispan`](/api/graphcanon/graph?tool=infinispan-infinispan)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_