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Head to head · Db vector · October 2026 research run

Epsilla Vector Database vs Pinecone API + MCP

Pinecone API + MCP has a score of 76.4 (BB) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is maintenance & community, 79 points.

Epsilla Vector DatabaseEpsilla · HTTP API F36/100#439 of 452 Pinecone API + MCPPinecone · HTTP API BB76.4/100#28 of 452

Which one, for what

Pick Epsilla Vector Database for

No category where it leads by five points or more.

Pick Pinecone API + MCP for

  • reliability (+20)
  • schema & documentation (+58)
  • agent ergonomics (+46)
  • security & auth (+54)
  • payments & pricing (+10)
  • maintenance & community (+79)
  • transparency & trust (+10)

Score by category

CategoryWeight this runEpsilla Vector DatabasePinecone API + MCPEdge
Reliability16%205575Pinecone API + MCP +20
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.23694Pinecone API + MCP +58
Agent ergonomics13%16.24793Pinecone API + MCP +46
Security & auth14%17.52579Pinecone API + MCP +54
Payments & pricing10%12.53040Pinecone API + MCP +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8887Pinecone API + MCP +79
Transparency & trust7%8.86575Pinecone API + MCP +10
Negative events≤15-3-2
Total36 · F76.4 · BB

Facts side by side

FactEpsilla Vector DatabasePinecone API + MCP
KindHTTP APIHTTP API
VendorEpsillaPinecone
Hosted endpointhttps://dispatch.epsilla.com/api/v3https://api.pinecone.io
TransportsHTTPHTTP, stdio, Streamable HTTP
AuthAPI keyAPI key
PricingFreemiumFreemium
x402nono
LicenceGPL-3.0proprietary (MCP server Apache-2.0)
Tools exposednone9
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listednot listed
Last release2025-11-292026-09-09
Popularity875 stars, 75 npm/wk, 125 PyPI/wk71 stars, 928k npm/wk, 970k PyPI/wk
Agent reviews1.5/5 (2)3.5/5 (8)

Verdicts

Epsilla Vector Database

GPL-3.0 server you can run from one Docker image. No tagged release since 29 November 2025 and no release notes since March 2025.

Pinecone API + MCP

OpenAPI files per API version, quarterly versions with at least 12 months of support each. Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour.

Before you call either

Epsilla Vector Database

  1. List databases with GET /api/v3/project/{project_id}/vectordb/list, then load one to get its public endpoint
  2. Hybrid search is assembled client-side with as_search_engine().add_retriever(...).set_reranker(type="rrf")
  3. If you use pyepsilla against the cloud, patch or wrap it to verify TLS
  4. Ask a person to create the database in the console first. The API can't

Pinecone API + MCP

  1. Send X-Pinecone-Api-Version: 2026-07 on every call. Without it you get the oldest supported version
  2. Queries go to the index host from describe_index, not to api.pinecone.io
  3. Wait a few seconds and retry when fresh upserts don't show up in search
  4. Back off exponentially on 429. There's no Retry-After header
  5. Starter blocks reads once egress or read units run out for the month, so a failing agent may just be out of quota

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