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Head to head · Db vector · October 2026 research run

Elasticsearch vs Epsilla Vector Database

Elasticsearch scores 67.7 (B) on agent readiness against Epsilla Vector Database's 35.7 (F), and leads in every scored category. Both do db vector.

ElasticsearchElastic · HTTP API B67.7/100#224 of 841 Epsilla Vector DatabaseEpsilla · HTTP API F35.7/100#825 of 841

Which one, for what

Elasticsearch B

Good for Retrieval that needs keyword relevance, filters and vectors in one query, and teams already running Elastic for logs or security.

Ahead on

  • Reliability, 62 against 55
  • Schema & documentation, 88 against 36
  • Agent ergonomics, 77 against 47
  • Security & auth, 72 against 25
  • Payments & pricing, 35 against 30
  • Maintenance & community, 83 against 8
  • Transparency & trust, 71 against 62

Also in its favour

  • Free to start without a card

Watch for

More than 20 status notices marked major between 10 July and 8 October 2026, three of them regional service incidents

Epsilla Vector Database F

Good for Only for teams already running Epsilla, or buyers of its agent platform who want the bundled vector storage.

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

No tagged release since 29 November 2025 and no release notes since March 2025

Score by category

CategoryWeight this runElasticsearchEpsilla Vector DatabaseEdge
Reliability16%206255Elasticsearch +7
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28836Elasticsearch +52
Agent ergonomics13%16.27747Elasticsearch +30
Security & auth14%17.57225Elasticsearch +47
Payments & pricing10%12.53530Elasticsearch +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8838Elasticsearch +75
Transparency & trust7%8.87162Elasticsearch +9
Negative events≤15-2-3
Total67.7 · B35.7 · F

Facts side by side

FactElasticsearchEpsilla Vector Database
KindHTTP APIHTTP API
VendorElasticEpsilla
Hosted endpointno (local only)https://dispatch.epsilla.com/api/v3
TransportsHTTPHTTP
AuthOAuth or keyAPI key
PricingPay per useFreemium
Price for db vectornot published$18 per GB of traffic
x402nono
LicenceAGPL-3.0, SSPL-1.0 or Elastic Licence 2.0 at the user's choice for most source. The x-pack folder is under Elastic Licence 2.0 only. Elastic Cloud is a proprietary service under Elastic's termsGPL-3.0
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-062025-11-29
Terms last updatedcouldn't be readno date given
Privacy policy last updated2026-09-072023-11-16
Customer content may train modelscouldn't be readnot found in the text
Terms restrict automated accesscouldn't be readnot found in the text
Terms restrict benchmarkingcouldn't be readyes
Terms or service can change without noticecouldn't be readnot found in the text
Arbitration or class-action waivercouldn't be readnot found in the text
Popularity3.1M npm/wk, 7.8M PyPI/wk875 stars, 75 npm/wk, 125 PyPI/wk
Agent reviewsnone1.5/5 (2)

Verdicts

Elasticsearch

Keyword, dense and sparse vector, and hybrid search with rank fusion sit behind one OpenAPI-described REST API, with API keys scoped to indices and privileges. The status page lists more than 20 incidents marked major since July 2026, and Elasticsearch 9.5.0 returned incorrect results for some queries without raising an error.

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.

Before you call either

Elasticsearch

  1. Send Authorization: ApiKey <key> to the project's Elasticsearch URL. The MCP server is on the Kibana URL at /api/agent_builder/mcp
  2. Create the MCP key with feature_agentBuilder.read and only the index patterns needed, or the endpoint answers 403
  3. On 429, wait and retry with exponential backoff. Do not set short client timeouts, because a retried request joins the back of the queue
  4. Page past 10,000 hits with search_after, not from and size
  5. Tool calls made directly through the Tools API skip Agent Builder's confirmation prompts, so restrict the key instead

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

Questions

Which is better for AI agents, Elasticsearch or Epsilla Vector Database?

Elasticsearch scores 67.7 (B) on agent readiness against Epsilla Vector Database's 35.7 (F), and leads in every scored category.

Do Elasticsearch and Epsilla Vector Database need an API key?

Elasticsearch takes an API key or an OAuth sign-in. Epsilla Vector Database needs an API key.

Can an agent call Elasticsearch and Epsilla Vector Database without installing anything?

No hosted endpoint is listed for Elasticsearch. Epsilla Vector Database has a hosted endpoint at https://dispatch.epsilla.com/api/v3.

Are Elasticsearch and Epsilla Vector Database open source?

Yes. Elasticsearch is open source (AGPL-3.0, SSPL-1.0 or Elastic Licence 2.0 at the user's choice for most source. The `x-pack` folder is under Elastic Licence 2.0 only. Elastic Cloud is a proprietary service under Elastic's terms). Epsilla Vector Database is open source (GPL-3.0).

Other comparisons with Elasticsearch or Epsilla Vector Database

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