Infinity

Also known as
infinity

What is Infinity?

An AI-native database built for language model applications, offering rapid hybrid search across dense vectors, sparse vectors, tensors, and full-text data. It features a single-binary architecture deployable via Docker or binary without external dependencies, with a Python API for developer convenience.

Independently observed

Infinity pricing

We don't have Infinity's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

What Infinity does

The capabilities that matter for vector databases, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Deployment
Deployment
Self-hosted
Serverless / consumption pricing
Index
ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
-
Distance metrics (cosine / dot / Euclidean)
inner product
Query
Metadata filtering
-
Hybrid search (dense + sparse fusion)
Built-in BM25 / lexical
Storage
Quantization
-
On-disk vs in-memory
Disk-backed
Scale
Multi-tenancy (namespaces / collections / tenants)
Horizontal scale
Single-node
Consistency
Consistency
-
Licensing
Licence class
Permissive OSS
Classification
Purpose-built vs feature-of-parent
Dedicated DBMS
Independently observed

Platform & deployment

Independently observed
Platforms
  • macOS
  • Linux
  • Windows
Deployment
  • Self-hosted

Security & compliance

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

Infinity alternatives

Other vector databases we track, ranked by the same independent score.

All Infinity alternatives, ranked →

Independent · unbought · dated

The Vioscale score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Infinity, not the verdict.

Balanced composite 49 / 100
low · 46%updating
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Release cadence970.087.9
Capabilities580.084.6
Development activity280.143.8
Stars690.053.3
Integrations00.050.0-
Dependent projects00.050.0
Security posture00.120.0-
Package downloads00.040.0-
Security score00.050.0-
Developer Q&A activity00.140.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d7mediumsource · 2026-08-26 · 65%

Adoption

AttributeValueEvidence
Github stars4,683highsource · 2026-08-26 · 90%
Dependent repos0highsource · 2026-08-26 · 85%

Features

AttributeValueEvidence
CapabilitiesDeployment: self_hosted · Serverless: No · Storage tier: disk_backed · Hybrid search: Yes · Licence class: permissive_oss · Multi tenancy: Yesmediumsource · 2026-08-16 · 60%

Language

AttributeValueEvidence
PrimaryC++highsource · 2026-08-26 · 90%

License

AttributeValueEvidence
SpdxApache-2.0highsource · 2026-08-26 · 95%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-08-16 · 60%
Modelopen_sourcemediumsource · 2026-08-16 · 60%
Price levelfreemediumsource · 2026-08-16 · 60%

Release

AttributeValueEvidence
Cadence days5mediumsource · 2026-08-26 · 70%
History20 itemsmediumsource · 2026-08-26 · 70%

Security

AttributeValueEvidence
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2Finfiniflow%2Finfinity&per_page=100 · Last 12m: 0highsource · 2026-08-26 · 90%