Comparison

Epsilla vs Infinity

No leader: the top candidate Epsilla has only 0.30 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Epsilla78
Infinity49
Score
Vioscale score
Epsilla78 / 100low · 30%
Infinity49 / 100low · 46%
Pricing
Free tier
Epsilla
Infinity
Model
Epsillafreemium
Infinityopen_source
Price level
Epsillamid
Infinityfree
Transparent
Epsilla
Infinity
Reliability
Sla pct
Epsilla99.9
Infinity
Status page
Epsilla
Infinity
Adoption
Dependent repos
Epsilla
Infinity0
Github stars
Epsilla
Infinity4,683
Activity
Commits last 30d
Epsilla
Infinity7
Release
Cadence days
Epsilla
Infinity5
History
Epsilla
Infinity20 items
License
Spdx
Epsilla
InfinityApache-2.0
Language
Primary
Epsilla
InfinityC++

Capabilities

Feature-by-feature on the axes that matter for vector databases. “-” means undocumented, not absent.

Deployment
Deployment
EpsillaManaged
InfinitySelf-hosted
Serverless / consumption pricing
Epsilla
Infinity
Index
ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
Epsilla-
Infinity-
Distance metrics (cosine / dot / Euclidean)
Epsilla-
Infinityinner product
Query
Metadata filtering
Epsilla-
Infinity-
Hybrid search (dense + sparse fusion)
Epsilla-
Infinity
Built-in BM25 / lexical
Epsilla-
Infinity
Storage
Quantization
Epsilla-
Infinity-
On-disk vs in-memory
Epsilla-
InfinityDisk-backed
Scale
Multi-tenancy (namespaces / collections / tenants)
Epsilla
Infinity
Horizontal scale
Epsilla-
InfinitySingle-node
Consistency
Consistency
Epsilla-
Infinity-
Licensing
Licence class
EpsillaProprietary
InfinityPermissive OSS
Classification
Purpose-built vs feature-of-parent
EpsillaFeature of parent
InfinityDedicated DBMS

What each one is

The product in its own terms, so the numbers below have context.

Epsilla

A platform that simplifies building AI agents and knowledge-base systems for teams of any technical level. It provides enterprise-grade multi-tenancy and supports flexible deployment modes including cloud, on-premise, and private cloud.

Independently observed

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

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Epsilla

from $29/moSubscriptionFree tier

Free tier through $2,499/month. Custom pricing for Enterprise. Metered add-ons $2–39/month.

  • Free TierFree
    • 1 Team Member
    • 1 Project
    • 1 AI Application
    • 1 Knowledge Base
    • 10M Vector Storage
    • +3 more
  • Starter Tier$29/month
    • 2 Team Members
    • 1 Project
    • 5 AI Applications
    • 5 Knowledge Bases
    • 1G Vector Storage
    • +2 more
  • Professional Tier$249/month
    • 20 Team Members
    • 10 Projects
    • 50 AI Applications
    • 50 Knowledge Bases
    • 10G Vector Storage
    • +3 more
  • AI Concierge$2,499/month
    • Everything in Professional
    • Fractional Forward Deployed AI Engineer
    • Done-For-You AI Agent & Workflow Build-Out
    • Domain-to-AI Enablement
    • Weekly Strategy & Review Calls
    • +3 more
  • Enterprise TierContact sales
    • Unlimited Team Members
    • Unlimited Projects
    • Unlimited AI Applications
    • Unlimited Knowledge Bases
    • Unlimited Vector Storage
    • +6 more
as of verify ↗

Infinity

Open sourceFree tier
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Epsilla
Infinity
macOS
Epsilla
Infinity
Windows
Epsilla
Infinity
Linux
Epsilla
Infinity
Deployment
Cloud / SaaS
Epsilla
Infinity
Self-hosted
Epsilla
Infinity
On-premise
Epsilla
Infinity

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.