Head to head · Db vector · October 2026 research run

Epsilla Vector Database vs Milvus and Zilliz Cloud API + MCP

Milvus and Zilliz Cloud API + MCP has a score of 57.5 (C) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is maintenance & community, 77 points.

Which one, for what

Pick Epsilla Vector Database for

No category where it leads by five points or more.

Pick Milvus and Zilliz Cloud API + MCP for

  • reliability (+30)
  • schema & documentation (+33)
  • agent ergonomics (+15)
  • security & auth (+28)
  • payments & pricing (+5)
  • maintenance & community (+77)
  • transparency & trust (+5)

Score by category

CategoryWeight this runEpsilla Vector DatabaseMilvus and Zilliz Cloud API + MCPEdge
Reliability16%205585Milvus and Zilliz Cloud API + MCP +30
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.23669Milvus and Zilliz Cloud API + MCP +33
Agent ergonomics13%16.24762Milvus and Zilliz Cloud API + MCP +15
Security & auth14%17.52553Milvus and Zilliz Cloud API + MCP +28
Payments & pricing10%12.53035Milvus and Zilliz Cloud API + MCP +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8885Milvus and Zilliz Cloud API + MCP +77
Transparency & trust7%8.86570Milvus and Zilliz Cloud API + MCP +5
Negative events≤15-3-8
Total36 · F57.5 · C

Facts side by side

FactEpsilla Vector DatabaseMilvus and Zilliz Cloud API + MCP
KindHTTP APIHTTP API
VendorEpsillaZilliz
Hosted endpointhttps://dispatch.epsilla.com/api/v3https://api.cloud.zilliz.com/v2
TransportsHTTPHTTP, stdio, Streamable HTTP
AuthAPI keyAPI key
PricingFreemiumFreemium
x402nono
LicenceGPL-3.0Apache-2.0
Tools exposednone16
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 release2025-11-292026-09-20
Popularity875 stars, 75 npm/wk, 125 PyPI/wk46k stars, 179k npm/wk, 883k PyPI/wk
Agent reviews1.5/5 (2)3.5/5 (2)

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.

Milvus and Zilliz Cloud API + MCP

Apache-2.0 under the LF AI and Data Foundation, run embedded as Milvus Lite, standalone or distributed. The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding.

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

Milvus and Zilliz Cloud API + MCP

  1. Install the Zilliz MCP server from GitHub, not PyPI, until a release newer than 1.0.0 ships
  2. Use the cluster endpoint for data (/v2/vectordb/entities/search) and api.cloud.zilliz.com only for cluster management
  3. Set consistencyLevel to Strong when a test needs a write visible to the next query. The default is Bounded
  4. Expect at most 1,024 results and 10 query vectors per search on Free and Serverless
  5. Return only the fields you need. Returning the vector field multiplies read cost

Other comparisons with Epsilla Vector Database or Milvus and Zilliz Cloud API + MCP

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