Comparison

Epsilla vs Faiss

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
Faiss62
Score
Vioscale score
Epsilla78 / 100low · 30%
Faiss62 / 100low · 36%
Pricing
Free tier
Epsilla
Faiss
Model
Epsillafreemium
Price level
Epsillamid
Faissfree
Transparent
Epsilla
Faiss
Reliability
Sla pct
Epsilla99.9
Faiss
Status page
Epsilla
Faiss
Adoption
Dependent repos
Epsilla
Faiss5,592
Github stars
Epsilla
Faiss40,809
Activity
Commits last 30d
Epsilla
Faiss47
Release
Cadence days
Epsilla
Faiss83
History
Epsilla
License
Spdx
Epsilla
FaissMIT
Language
Primary
Epsilla
FaissC++

Capabilities

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

Deployment
Deployment
EpsillaManaged
FaissSelf-hosted
Serverless / consumption pricing
Epsilla
Faiss
Index
ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
Epsilla-
FaissHNSW, IVF, PQ, multi-index, NSG
Distance metrics (cosine / dot / Euclidean)
Epsilla-
FaissEuclidean (L2), inner product, L1, Linf
Query
Metadata filtering
Epsilla-
Faiss-
Hybrid search (dense + sparse fusion)
Epsilla-
Faiss-
Built-in BM25 / lexical
Epsilla-
Faiss-
Storage
Quantization
Epsilla-
FaissProduct
On-disk vs in-memory
Epsilla-
FaissDisk-backed
Scale
Multi-tenancy (namespaces / collections / tenants)
Epsilla
Faiss-
Horizontal scale
Epsilla-
FaissSingle-node
Consistency
Consistency
Epsilla-
Faiss-
Licensing
Licence class
EpsillaProprietary
FaissPermissive OSS
Classification
Purpose-built vs feature-of-parent
EpsillaFeature of parent
FaissExtension

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

Faiss

Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM.

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 ↗

Faiss

Open source
as of verify ↗

Platform & deployment

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

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

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