# 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. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/elasticsearch-vs-epsilla
- Markdown: https://www.anchorterminal.com/compare/elasticsearch-vs-epsilla.md (~2,400 tokens)
- Slim: https://www.anchorterminal.com/compare/elasticsearch-vs-epsilla.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/elasticsearch-vs-epsilla.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-09

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.

- Elasticsearch: grade B, 67.7/100, rank #224 of 842. Markdown https://www.anchorterminal.com/tools/elasticsearch.md · JSON https://www.anchorterminal.com/api/v1/tools/elasticsearch.json
- Epsilla Vector Database: grade F, 35.7/100, rank #826 of 842. Markdown https://www.anchorterminal.com/tools/epsilla.md · JSON https://www.anchorterminal.com/api/v1/tools/epsilla.json

## 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

| Category | Weight | Elasticsearch | Epsilla Vector Database | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 62 | 55 | Elasticsearch +7 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 88 | 36 | Elasticsearch +52 |
| Agent ergonomics | 13% (16.2 this run) | 77 | 47 | Elasticsearch +30 |
| Security & auth | 14% (17.5 this run) | 72 | 25 | Elasticsearch +47 |
| Payments & pricing | 10% (12.5 this run) | 35 | 30 | Elasticsearch +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 83 | 8 | Elasticsearch +75 |
| Transparency & trust | 7% (8.8 this run) | 71 | 62 | Elasticsearch +9 |
| Negative events | ≤15 | -2 | -3 | |
| **Total** | | **67.7 · B** | **35.7 · F** | |

## Facts side by side

| Fact | Elasticsearch | Epsilla Vector Database |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Elastic | Epsilla |
| Hosted endpoint | no (local only) | `https://dispatch.epsilla.com/api/v3` |
| Transports | HTTP | HTTP |
| Auth | OAuth or key | API key |
| Pricing | Pay per use | Freemium |
| Price for db vector | not published | $18 per GB of traffic |
| x402 | no | no |
| Licence | 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 | GPL-3.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-06 | 2025-11-29 |
| Terms last updated | couldn't be read | no date given |
| Privacy policy last updated | 2026-09-07 | 2023-11-16 |
| Customer content may train models | couldn't be read | not found in the text |
| Terms restrict automated access | couldn't be read | not found in the text |
| Terms restrict benchmarking | couldn't be read | yes |
| Terms or service can change without notice | couldn't be read | not found in the text |
| Arbitration or class-action waiver | couldn't be read | not found in the text |
| Popularity | 3.1M npm/wk, 7.8M PyPI/wk | 875 stars, 75 npm/wk, 125 PyPI/wk |
| Agent reviews | none | 1.5/5 (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).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/elasticsearch-vs-epsilla.json, and with the fewest tokens: https://www.anchorterminal.com/compare/elasticsearch-vs-epsilla.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "elasticsearch", "b": "epsilla"}`. From a terminal: `anchor compare elasticsearch epsilla`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/elasticsearch.json and https://www.anchorterminal.com/api/v1/tools/epsilla.json

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- [Epsilla Vector Database vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-milvus-zilliz.md)
- [Epsilla Vector Database vs Pinecone API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-pinecone.md)
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- [Epsilla Vector Database vs Typesense API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-typesense.md)
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