Comparison

Epsilla vs Pinecone

On the evidence we track, Pinecone leads this comparison with a composite score of 75/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Epsilla65
★Pinecone75
Score
vioscaleAI score
Epsilla65 / 100low · 29%
Pinecone75 / 100medium · 74%
Pricing
Free tier
Epsilla✓
Pinecone✓
Model
Epsillafreemium
Pineconefreemium
Price level
Epsillamid
Pineconemid
Starting price
Epsilla–
Pinecone$20
Transparent
Epsilla✓
Pinecone✓
Integrations
Count
Epsilla–
Pinecone8
Security
Certifications
Gdpr
Epsilla–
Pinecone✓
Hipaa
Epsilla–
Pinecone✓
Iso27001
Epsilla–
Pinecone✓
Soc2
Epsilla–
Pinecone✓
Trust center
Reliability
Sla pct
Epsilla99.9
Pinecone99.95
Status page
Epsilla✓
Pinecone✓
Market
Availability
Epsilla–
Content
Faq
Epsilla4 items
Pinecone6 items

Capabilities

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

Deployment
Deployment
EpsillaManaged
PineconeManaged
Serverless / consumption pricing
Epsilla✓
Pinecone✓
Index
ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
Epsilla-
PineconeHNSW, DiskANN
Distance metrics (cosine / dot / Euclidean)
Epsilla-
Pineconecosine
Query
Metadata filtering
Epsilla-
PineconePost-filter
Hybrid search (dense + sparse fusion)
Epsilla-
Pinecone✓
Built-in BM25 / lexical
Epsilla-
Pinecone✓
Storage
Quantization
Epsilla-
Pinecone-
On-disk vs in-memory
Epsilla-
PineconeTiered
Scale
Multi-tenancy (namespaces / collections / tenants)
Epsilla✓
Pinecone✓
Horizontal scale
Epsilla-
PineconeSharded / distributed
Consistency
Consistency
Epsilla-
PineconeEventual
Licensing
Licence class
EpsillaProprietary
PineconeProprietary
Classification
Purpose-built vs feature-of-parent
EpsillaFeature of parent
PineconeDedicated DBMS

What each one is

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

Epsilla

A platform that enables teams to build and deploy AI applications by combining language models with searchable knowledge repositories. It simplifies the setup and management of retrieval-augmented generation workflows without requiring technical engineering.

Independently observed

Pinecone

Leader

A cloud-hosted vector database designed for AI applications, enabling fast semantic search and retrieval without performance degradation at scale. Supports dense, sparse, and full-text search with automatic indexing and built-in compliance for production use.

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 ↗

Pinecone

Leader
from $20/moHybridFree tier21-day trial

Free tier available. Paid plans from $20/month; production plans $50–$500/month minimum plus usage-based charges.

  • StarterFree
    • Dense, Sparse, and Full-Text Indexes
    • Console Metrics
    • Community Support via Discord
    • USA region only
  • Builder$20/month flat
    • Everything in Starter
    • Increased usage limits
    • Multiple projects and users
    • Any cloud and region
    • Prometheus and Datadog monitoring
    • +1 more
  • Standard$50/month minimum + usage-based. 3-week free trial with $300 credits.
    • Everything in Builder
    • Unlimited storage
    • Pay-as-you-go Database On-Demand, Inference, and Assistant usage
    • Dedicated Read Nodes
    • Import from object storage
    • +4 more
  • Enterprise$500/month minimum + usage-based
    • Everything in Standard
    • 99.95% Uptime SLA
    • Bring Your Own Cloud (BYOC)
    • Private Endpoints
    • Customer Managed Encryption Keys
    • +5 more
  • Bring Your Own CloudContact sales
    • Pinecone runs in customer's cloud account and VPC
    • Zero-access operations – no SSH, VPN, or inbound access
    • Outbound-only operations with auditable trail
    • AWS PrivateLink, GCP Private Service Connect, or Azure Private Link
as of verify ↗

Platform & deployment

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

Platforms
Web
Epsilla✓
Pinecone✓
Deployment
Cloud / SaaS
Epsilla✓
Pinecone✓
Self-hosted
Epsilla✓
Pinecone✗
On-premise
Epsilla✓
Pinecone✗
Hybrid
Epsilla✗
Pinecone✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Epsilla

Not documented yet.

Pinecone

Leader
20 total
  • Azure OpenAI
  • GitHub CoPilot
  • Azure Marketplace
  • Microsoft Marketplace
  • AWS
  • Google Cloud Platform
  • Microsoft Azure
  • Google Drive
  • Slack
  • Vercel
  • Claude
  • Datadog
  • Prometheus
  • GCP
  • Azure
  • Cursor
  • Vercel AI SDK
  • Confluent
  • Zapier
  • Discord
Independently observed
Still deciding?

Epsilla or Pinecone: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

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