{ "data": { "a": { "slug": "elasticsearch", "name": "Elasticsearch", "vendor": "Elastic", "vendorUrl": "https://www.elastic.co", "kind": "http-api", "category": "vector-search", "summary": "Elasticsearch is Elastic's search engine and vector database, with keyword, vector and hybrid search over a REST API. Agents reach it through that API or the Agent Builder MCP server on Elastic Cloud and Elastic Stack 9.2 or later.", "url": "https://www.anchorterminal.com/tools/elasticsearch", "markdownUrl": "https://www.anchorterminal.com/tools/elasticsearch.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/elasticsearch.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/elasticsearch.json", "repo": "https://github.com/elastic/elasticsearch", "license": "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", "transports": [ "http" ], "packages": [ { "registry": "npm", "name": "@elastic/elasticsearch" }, { "registry": "pypi", "name": "elasticsearch" } ], "auth": "mixed", "authNotes": "Self-serve. The REST API takes `Authorization: ApiKey \u003ckey\u003e`, with keys created in Kibana or by `POST /_security/api_key` and limited by role descriptors and an expiry. The Agent Builder MCP server takes the same kind of key, which needs the `feature_agentBuilder.read` Kibana privilege, or OAuth 2.1 on Serverless projects, where a registered client and a browser consent give each user a revocable connection.", "pricing": "usage", "pricingNotes": "Serverless bills by use, with search from $0.09 a VCU-hour, ingest from $0.14, storage from $0.047 a GB a month and egress from $0.05 a GB. Agent Builder has 1,000 free executions a month, then from $0.025 each. A 14-day Elastic Cloud trial needs no credit card. Self-managed Elasticsearch is free to run under its source licences (https://www.elastic.co/pricing/serverless-search, checked 2026-10-08).", "priceSummary": "$0.09 / unit", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the Serverless OpenAPI file or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 3136798, "pypiWeekly": 7755257, "asOf": "2026-10-08" }, "docsUrl": "https://www.elastic.co/docs/solutions/search", "llmsTxt": "https://www.elastic.co/docs/llms.txt", "openapi": "https://www.elastic.co/docs/api/doc/elasticsearch-serverless.json", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters", "db.serverless" ], "tags": [ "hosted", "usage", "free-trial", "no-card", "open-source", "self-hosted", "mcp", "oauth", "openapi", "llms-txt", "typescript", "python", "status-page", "bug-bounty", "soc2", "sla" ], "lastRelease": "2026-10-06", "graded": true, "anchor": { "graded": true, "score": 67.7, "grade": "B", "agentReady": false, "rank": 224, "ranked": true, "rankOf": 842, "categoryRank": 6, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 77, "maintenance": 83, "payments": 35, "reliability": 62, "schema": 88, "security": 72, "transparency": 71 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -2, "negativeNotes": [ "Sixteen Elasticsearch security advisories were posted between 25 September and 6 October 2026. The one we read, ESA-2026-199 (CVE-2026-103009, CVSS 7.1), is an authorisation bypass in cross-cluster search on self-managed clusters, fixed in 8.19.23, 9.4.8 and 9.5.5, and Elastic says Serverless is not affected. Fixed and disclosed, so a small deduction (https://discuss.elastic.co/c/announcements/security-announcements/31)." ], "verdict": "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.", "bestFor": "Retrieval that needs keyword relevance, filters and vectors in one query, and teams already running Elastic for logs or security.", "strengths": [ "OpenAPI 3.0.3 file for the Serverless API with 311 operations, plus llms.txt and a Markdown twin of every docs page", "API keys take role descriptors that limit indices and privileges, with an expiry, and the MCP server accepts OAuth 2.1 on Serverless", "Agent Builder MCP server is generally available on Serverless and on Elastic Stack 9.3 and later", "14-day Elastic Cloud trial with no credit card, and unit prices published for Serverless", "Public bug bounty on HackerOne, CVE Numbering Authority status and dated security advisories" ], "weaknesses": [ "More than 20 status notices marked major between 10 July and 8 October 2026, three of them regional service incidents", "Elasticsearch 9.5.0 (29 July 2026) returned incorrect results for some `must_not` queries with no error, fixed in 9.5.1 and 9.5.2", "No request rate limit with numbers was found in the reviewed documentation", "The 99.95 per cent Serverless SLA applies only at Platinum or Enterprise subscription level", "The monthly terms forbid use of the cloud service for benchmarking, competitive or comparative purposes", "Search compute on Serverless does not scale to zero, so an idle project is still billed a baseline" ], "agentNotes": [ "Send `Authorization: ApiKey \u003ckey\u003e` to the project's Elasticsearch URL. The MCP server is on the Kibana URL at `/api/agent_builder/mcp`", "Create the MCP key with `feature_agentBuilder.read` and only the index patterns needed, or the endpoint answers 403", "On 429, wait and retry with exponential backoff. Do not set short client timeouts, because a retried request joins the back of the queue", "Page past 10,000 hits with `search_after`, not `from` and `size`", "Tool calls made directly through the Tools API skip Agent Builder's confirmation prompts, so restrict the key instead" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 67.7 } ], "editorialScores": { "ergonomics": 77, "maintenance": 83, "payments": 35, "reliability": 62, "schema": 88, "security": 72, "transparency": 70 }, "provenanceScore": 71 }, "connect": { "install": "npm install @elastic/elasticsearch", "http": "curl -X GET \"${ES_URL}/_cat/indices?v=true\" \\\n -H \"Authorization: ApiKey ${API_KEY}\"", "config": { "mcpServers": { "elastic-agent-builder": { "args": [ "mcp-remote", "${KIBANA_URL}/api/agent_builder/mcp", "--header", "Authorization:${AUTH_HEADER}" ], "command": "npx", "env": { "AUTH_HEADER": "ApiKey ${API_KEY}", "KIBANA_URL": "${KIBANA_URL}" } } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/elasticsearch" }, "area": "developer", "unitPrices": [ { "item": "Serverless search compute, VCU-hour", "unit": "compute-unit", "usd": 0.09, "note": "Quoted as a floor on the pricing page" }, { "item": "Serverless ingest compute, VCU-hour", "unit": "compute-unit", "usd": 0.14, "note": "Quoted as a floor on the pricing page" }, { "item": "Serverless storage", "unit": "gb-month", "usd": 0.047, "note": "Quoted as a floor on the pricing page" }, { "item": "Serverless egress", "unit": "gb", "usd": 0.05, "note": "Quoted as a floor on the pricing page" }, { "item": "Agent Builder execution", "unit": "call", "usd": 0.025, "note": "After 1,000 free executions a month, quoted as a floor" } ], "provenance": { "legalEntity": "Elasticsearch B.V.", "domain": "elastic.co", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://www.elastic.co/agreements/cloud-monthly", "privacy": "https://www.elastic.co/legal/product-privacy-statement", "statusPage": "https://status.elastic.co", "changelog": "https://www.elastic.co/docs/release-notes/elasticsearch", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The Cloud Monthly Terms of Service (effective 12 September 2025) name the contracting entity by customer location, Elasticsearch, Inc. for the United States and Elasticsearch B.V. or Elastic International B.V. elsewhere. The page is a cover that links the PDF.", "Customers with an order form are under the Elastic Cloud Service Subscription Agreement of 5 March 2026 at https://www.elastic.co/agreements/global/cloud-services.", "The Product Privacy Statement (7 September 2026) is issued by Elastic N.V. and its subsidiaries and covers Elastic Cloud Hosted, Serverless and self-managed software. The General Privacy Statement covers only websites and events.", "www.elastic.co/.well-known/security.txt returned 404. Reports go to HackerOne or security@elastic.co.", "No RDAP service answered for elastic.co, so the registration date is not recorded.", "Project endpoints are on Elastic Cloud hostnames that we did not call. `endpointOnVendorDomain` rests on the docs, not on a request." ], "score": 71 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/elasticsearch.json", "live": { "slug": "elasticsearch", "vendorStatus": { "page": "https://status.elastic.co", "indicator": "major", "summary": "Partial System Outage", "checkedAt": "2026-10-09T11:39:12.295314988Z" }, "updatedAt": "2026-10-09T11:39:12.295314988Z" } }, "answer": "Elasticsearch scores 67.7 (B) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 4 of 7 scored categories. Upstash Vector API + MCP leads on reliability, payments \u0026 pricing and transparency \u0026 trust.", "b": { "slug": "upstash-vector", "name": "Upstash Vector API + MCP", "vendor": "Upstash", "vendorUrl": "https://upstash.com/vector", "kind": "http-api", "category": "vector-search", "summary": "Serverless vector database billed per request.", "url": "https://www.anchorterminal.com/tools/upstash-vector", "markdownUrl": "https://www.anchorterminal.com/tools/upstash-vector.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/upstash-vector.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/upstash-vector.json", "repo": "https://github.com/upstash/vector-js", "license": "MIT", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.upstash.com/v2", "packages": [ { "registry": "npm", "name": "@upstash/vector" }, { "registry": "pypi", "name": "upstash-vector" }, { "registry": "npm", "name": "@upstash/mcp-server" } ], "auth": "mixed", "authNotes": "Data plane uses a per-index REST token as Bearer (UPSTASH_VECTOR_REST_URL plus UPSTASH_VECTOR_REST_TOKEN), with a separate read-only token per index. The Developer API (api.upstash.com) and the MCP server use account email plus API key; read-only API keys exist. The hosted MCP endpoint defaults to OAuth and lets you pick a read-only grant at consent.", "pricing": "freemium", "pricingNotes": "Free plan with 10,000 queries and updates a day, 1 GB data, 200M vectors times dimensions, up to 1,536 dimensions. Pay as you go $0.40 per 100,000 requests plus $0.25 per GB storage, 200 GB bandwidth a month free then $0.03 per GB, up to 50 GB data and 3,072 dimensions. Fixed plan $60 a month with 1M queries and updates a day. Pro and Enterprise by quote, up to 1 TB and 5,000 dimensions. Self-hosting isn't offered (https://upstash.com/pricing/vector).", "priceSummary": "$0.004 / 1k req", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 support in docs, pricing or MCP README (checked 2026-09-30).", "endpoints": [] }, "toolCount": 55, "popularity": { "githubStars": 70, "npmWeekly": 187120, "pypiWeekly": 33712, "asOf": "2026-09-30" }, "docsUrl": "https://upstash.com/docs/vector/overall/getstarted", "llmsTxt": "https://upstash.com/docs/llms.txt", "registryName": "io.github.upstash/mcp-server", "capabilities": [ "db.vector", "db.hybrid", "db.filters", "db.serverless" ], "tags": [ "hosted", "freemium", "no-card", "free-tier", "mcp", "llms-txt", "closed-source", "typescript", "python" ], "lastRelease": "2026-08-24", "graded": true, "anchor": { "graded": true, "score": 62.4, "grade": "B", "agentReady": false, "rank": 391, "ranked": true, "rankOf": 842, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 46, "payments": 40, "reliability": 75, "schema": 49, "security": 63, "transparency": 82 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "$0.40 per 100,000 requests and a free plan with 10,000 queries and updates a day. The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025.", "bestFor": "Small to mid-sized agent memory and RAG where per-request pricing and zero setup matter more than search options.", "strengths": [ "$0.40 per 100,000 requests and a free plan with 10,000 queries and updates a day", "Hosted embedding lets an agent upsert and query plain text", "Per-index read-only tokens, read-only MCP grants and read, write or destructive labels on every MCP tool", "One 20-minute Vector incident in 90 days, and a 99.9% SLA on paid plans", "DPA, subprocessor list and valid security.txt" ], "weaknesses": [ "The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025", "Vector tools exist only on the hosted MCP server, mixed into 55 tools, and not in the open-source stdio package", "No OpenAPI file and no API versioning", "SOC 2 covers Upstash Redis on Pro and Enterprise plans, not Vector", "No full-text search beyond sparse BM25 vectors; no facets, sorting or typo tolerance" ], "agentNotes": [ "Connect to mcp.upstash.com/mcp for Vector tools. `npx @upstash/mcp-server` has none", "Create the index with an embedding model if the agent works in text; then `query-data` and `upsert-data` take strings", "Give retrieval-only agents the index's read-only token, not the full one", "Filters use a SQL-like string (`genre = 'fiction' AND year \u003e 2020`) in the `filter` field", "Ignore the FAQ line saying hybrid isn't supported. Pass `queryMode` HYBRID, DENSE or SPARSE on hybrid indexes" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.4 } ], "editorialScores": { "ergonomics": 75, "maintenance": 46, "payments": 40, "reliability": 75, "schema": 49, "security": 63, "transparency": 64 }, "provenanceScore": 100 }, "connect": { "http": "curl $UPSTASH_VECTOR_REST_URL/query-data -X POST \\\n -H \"Authorization: Bearer $UPSTASH_VECTOR_REST_TOKEN\" \\\n -d '{\"data\":\"What is Upstash?\",\"topK\":2,\"includeMetadata\":true}'", "claudeCode": "claude mcp add --scope user --transport http upstash https://mcp.upstash.com/mcp", "config": { "mcpServers": { "upstash": { "url": "https://mcp.upstash.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/upstash-vector" }, "sameCompany": [ "upstash-qstash" ], "area": "developer", "unitPrices": [ { "item": "Pay as you go requests", "unit": "1k-requests", "usd": 0.004, "note": "$0.40 per 100,000 queries or updates" }, { "item": "Storage", "unit": "gb", "usd": 0.25, "note": "per GB a month on paid plans" }, { "item": "Fixed plan", "unit": "month", "usd": 60, "note": "1M queries and updates a day, 50 GB max data" } ], "provenance": { "legalEntity": "Upstash, Inc.", "domain": "upstash.com", "domainRegistered": "2015-06-23", "endpointOnVendorDomain": true, "terms": "https://upstash.com/trust/terms.pdf", "privacy": "https://upstash.com/trust/privacy.pdf", "statusPage": "https://status.upstash.com", "changelog": "https://upstash.com/docs/vector/overall/changelog", "securityTxt": "valid", "checked": "2026-09-30", "notes": [ "Per-index data endpoints live on upstash.io subdomains; the Developer API and MCP server are on upstash.com." ], "score": 100 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/upstash-vector.json", "live": { "slug": "upstash-vector", "probe": { "target": "https://api.upstash.com/v2", "method": "get", "lastAt": "2026-10-09T11:46:44.468208621Z", "lastOk": true, "lastStatus": 404, "lastMs": 337, "authRequired": false, "uptime24h": 99.61, "uptime30d": 99.96, "p50ms24h": 341, "p95ms24h": 391, "samples24h": 259, "samples30d": 2311, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 267 }, { "date": "2026-10-09", "probes": 125, "ok": 125 } ] }, "vendorStatus": { "page": "https://status.upstash.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T11:41:09.741354959Z" }, "versions": [ { "registry": "github", "name": "upstash/vector-js", "version": "v1.2.3", "released": "2026-03-09", "seenAt": "2026-10-08T16:33:44.64449924Z" }, { "registry": "mcp-registry", "name": "io.github.upstash/mcp-server", "version": "0.2.7", "seenAt": "2026-10-09T02:57:46.004536428Z" }, { "registry": "npm", "name": "@upstash/mcp-server", "version": "0.3.0", "seenAt": "2026-10-08T16:33:43.444737132Z" }, { "registry": "npm", "name": "@upstash/vector", "version": "1.2.3", "seenAt": "2026-10-08T16:33:42.431744586Z" }, { "registry": "pypi", "name": "upstash-vector", "version": "0.8.0", "released": "2025-02-27", "seenAt": "2026-10-08T16:33:43.329864884Z" } ], "githubStars": 70, "npmWeekly": 178393, "pypiWeekly": 34629, "securityTxt": { "url": "https://upstash.com/.well-known/security.txt", "state": "valid", "expires": "2027-09-29T00:00:00.000Z", "checkedAt": "2026-10-08T15:38:47.944083119Z" }, "llmsTxt": { "url": "https://upstash.com/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:58.699801265Z" }, "domain": { "domain": "upstash.com", "registered": "2015-06-23", "source": "https://rdap.verisign.com/com/v1/domain/upstash.com", "checkedAt": "2026-10-04T13:05:32.95115781Z" }, "pages": [ { "url": "https://upstash.com/docs/vector/overall/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:25:31.81901109Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ba3d301f840a" }, { "url": "https://upstash.com/pricing/vector", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:25:35.754488842Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "74ee45b3e8de" } ], "updatedAt": "2026-10-09T11:46:44.468208621Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Elastic", "b": "Upstash", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.upstash.com/v2", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "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", "b": "MIT", "name": "Licence" }, { "a": "none", "b": "55", "name": "Tools exposed" }, { "a": "no", "b": "yes", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "not listed", "b": "io.github.upstash/mcp-server", "name": "MCP registry" }, { "a": "2026-10-06", "b": "2026-08-24", "name": "Last release" }, { "a": "couldn't be read", "b": "", "name": "Terms last updated" }, { "a": "2026-09-07", "b": "", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "", "name": "Terms restrict automated access" }, { "a": "couldn't be read", "b": "", "name": "Terms restrict benchmarking" }, { "a": "couldn't be read", "b": "", "name": "Terms or service can change without notice" }, { "a": "couldn't be read", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "3.1M npm/wk, 7.8M PyPI/wk", "b": "70 stars, 187k npm/wk, 34k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Elasticsearch scores 67.7 (B) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 4 of 7 scored categories. Upstash Vector API + MCP leads on reliability, payments \u0026 pricing and transparency \u0026 trust.", "question": "Which is better for AI agents, Elasticsearch or Upstash Vector API + MCP?" }, { "answer": "Both take an API key or an OAuth sign-in.", "question": "Do Elasticsearch and Upstash Vector API + MCP need an API key?" }, { "answer": "No hosted endpoint is listed for Elasticsearch. Upstash Vector API + MCP has a hosted endpoint at https://api.upstash.com/v2.", "question": "Can an agent call Elasticsearch and Upstash Vector API + MCP without installing anything?" }, { "answer": "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). No open-source release is listed for Upstash Vector API + MCP.", "question": "Are Elasticsearch and Upstash Vector API + MCP open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 88 against 49", "Security \u0026 auth, 72 against 63", "Maintenance \u0026 community, 83 against 46" ], "also": [ "Open source" ], "goodFor": "Retrieval that needs keyword relevance, filters and vectors in one query, and teams already running Elastic for logs or security.", "slug": "elasticsearch", "watchFor": "More than 20 status notices marked major between 10 July and 8 October 2026, three of them regional service incidents" }, { "aheadOn": [ "Reliability, 75 against 62", "Payments \u0026 pricing, 40 against 35", "Transparency \u0026 trust, 82 against 71" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Small to mid-sized agent memory and RAG where per-request pricing and zero setup matter more than search options.", "slug": "upstash-vector", "watchFor": "The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025" } ], "job": { "capability": "db.vector", "name": "Db vector" }, "others": [ { "json": "https://www.anchorterminal.com/compare/chroma-vs-elasticsearch.json", "title": "Chroma API + MCP vs Elasticsearch", "url": "https://www.anchorterminal.com/compare/chroma-vs-elasticsearch" }, { "json": "https://www.anchorterminal.com/compare/chroma-vs-upstash-vector.json", "title": "Chroma API + MCP vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/chroma-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-epsilla.json", "title": "Elasticsearch vs Epsilla Vector Database", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-epsilla" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-lancedb.json", "title": "Elasticsearch vs LanceDB", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-lancedb" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-milvus-zilliz.json", "title": "Elasticsearch vs Milvus and Zilliz Cloud API + MCP", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-milvus-zilliz" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-pinecone.json", "title": "Elasticsearch vs Pinecone API + MCP", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-pinecone" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-qdrant.json", "title": "Elasticsearch vs Qdrant API + MCP", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-qdrant" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-typesense.json", "title": "Elasticsearch vs Typesense API + MCP", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-typesense" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-vespa.json", "title": "Elasticsearch vs Vespa", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-weaviate.json", "title": "Elasticsearch vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-weaviate" }, { "json": "https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector.json", "title": "Epsilla Vector Database vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/lancedb-vs-upstash-vector.json", "title": "LanceDB vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/lancedb-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector.json", "title": "Milvus and Zilliz Cloud API + MCP vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/pinecone-vs-upstash-vector.json", "title": "Pinecone API + MCP vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/pinecone-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector.json", "title": "Qdrant API + MCP vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/typesense-vs-upstash-vector.json", "title": "Typesense API + MCP vs Upstash Vector API + MCP", "url": "https://www.anchorterminal.com/compare/typesense-vs-upstash-vector" }, { "json": "https://www.anchorterminal.com/compare/upstash-vector-vs-vespa.json", "title": "Upstash Vector API + MCP vs Vespa", "url": "https://www.anchorterminal.com/compare/upstash-vector-vs-vespa" }, { "json": "https://www.anchorterminal.com/compare/upstash-vector-vs-weaviate.json", "title": "Upstash Vector API + MCP vs Weaviate API + MCP", "url": "https://www.anchorterminal.com/compare/upstash-vector-vs-weaviate" } ], "scores": [ { "by": 13, "edge": "upstash-vector", "elasticsearch": 62, "key": "reliability", "name": "Reliability", "upstash-vector": 75, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 39, "edge": "elasticsearch", "elasticsearch": 88, "key": "schema", "name": "Schema \u0026 documentation", "upstash-vector": 49, "weight": 13 }, { "by": 2, "edge": "elasticsearch", "elasticsearch": 77, "key": "ergonomics", "name": "Agent ergonomics", "upstash-vector": 75, "weight": 13 }, { "by": 9, "edge": "elasticsearch", "elasticsearch": 72, "key": "security", "name": "Security \u0026 auth", "upstash-vector": 63, "weight": 14 }, { "by": 5, "edge": "upstash-vector", "elasticsearch": 35, "key": "payments", "name": "Payments \u0026 pricing", "upstash-vector": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 37, "edge": "elasticsearch", "elasticsearch": 83, "key": "maintenance", "name": "Maintenance \u0026 community", "upstash-vector": 46, "weight": 7 }, { "by": 11, "edge": "upstash-vector", "elasticsearch": 71, "key": "transparency", "name": "Transparency \u0026 trust", "upstash-vector": 82, "weight": 7 } ], "summary": "Elasticsearch scores 67.7 (B) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 4 of 7 scored categories. Upstash Vector API + MCP leads on reliability, payments \u0026 pricing and transparency \u0026 trust. Both do db vector.", "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.", "upstash-vector": "$0.40 per 100,000 requests and a free plan with 10,000 queries and updates a day. The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/elasticsearch-vs-upstash-vector", "json": "https://www.anchorterminal.com/compare/elasticsearch-vs-upstash-vector.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/elasticsearch-vs-upstash-vector.md", "slim": "https://www.anchorterminal.com/compare/elasticsearch-vs-upstash-vector.min.md" }, "markdown": "Elasticsearch scores 67.7 (B) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 4 of 7 scored categories. Upstash Vector API + MCP leads on reliability, payments \u0026 pricing and transparency \u0026 trust. Both do db vector.\n\n- 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\n- Upstash Vector API + MCP: grade B, 62.4/100, rank #391 of 842. Markdown https://www.anchorterminal.com/tools/upstash-vector.md · JSON https://www.anchorterminal.com/api/v1/tools/upstash-vector.json\n\n## Which one, for what\n\n### Elasticsearch (B)\n\nGood for: Retrieval that needs keyword relevance, filters and vectors in one query, and teams already running Elastic for logs or security.\n\nAhead on:\n- Schema \u0026 documentation, 88 against 49\n- Security \u0026 auth, 72 against 63\n- Maintenance \u0026 community, 83 against 46\n\nAlso in its favour:\n- Open source\n\nWatch for: More than 20 status notices marked major between 10 July and 8 October 2026, three of them regional service incidents\n\n### Upstash Vector API + MCP (B)\n\nGood for: Small to mid-sized agent memory and RAG where per-request pricing and zero setup matter more than search options.\n\nAhead on:\n- Reliability, 75 against 62\n- Payments \u0026 pricing, 40 against 35\n- Transparency \u0026 trust, 82 against 71\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025\n\n\n## Score by category\n\n| Category | Weight | Elasticsearch | Upstash Vector API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 62 | 75 | Upstash Vector API + MCP +13 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 88 | 49 | Elasticsearch +39 |\n| Agent ergonomics | 13% (16.2 this run) | 77 | 75 | Elasticsearch +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 72 | 63 | Elasticsearch +9 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 40 | Upstash Vector API + MCP +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 46 | Elasticsearch +37 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 71 | 82 | Upstash Vector API + MCP +11 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **67.7 · B** | **62.4 · B** | |\n\n## Facts side by side\n\n| Fact | Elasticsearch | Upstash Vector API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Elastic | Upstash |\n| Hosted endpoint | no (local only) | `https://api.upstash.com/v2` |\n| Transports | HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| 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 | MIT |\n| Tools exposed | none | 55 |\n| Read-only variant documented | no | yes |\n| llms.txt | yes | yes |\n| MCP registry | not listed | `io.github.upstash/mcp-server` |\n| Last release | 2026-10-06 | 2026-08-24 |\n| Terms last updated | couldn't be read | |\n| Privacy policy last updated | 2026-09-07 | |\n| Customer content may train models | couldn't be read | |\n| Terms restrict automated access | couldn't be read | |\n| Terms restrict benchmarking | couldn't be read | |\n| Terms or service can change without notice | couldn't be read | |\n| Arbitration or class-action waiver | couldn't be read | |\n| Popularity | 3.1M npm/wk, 7.8M PyPI/wk | 70 stars, 187k npm/wk, 34k PyPI/wk |\n| Agent reviews | none | 3/5 (2) |\n\n## Verdicts\n\n**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.\n\n**Upstash Vector API + MCP.** $0.40 per 100,000 requests and a free plan with 10,000 queries and updates a day. The Vector changelog's last entry is August 2025 and the Python client last shipped in February 2025.\n\n## Before you call either\n\n### Elasticsearch\n\n1. Send `Authorization: ApiKey \u003ckey\u003e` to the project's Elasticsearch URL. The MCP server is on the Kibana URL at `/api/agent_builder/mcp`\n2. Create the MCP key with `feature_agentBuilder.read` and only the index patterns needed, or the endpoint answers 403\n3. On 429, wait and retry with exponential backoff. Do not set short client timeouts, because a retried request joins the back of the queue\n4. Page past 10,000 hits with `search_after`, not `from` and `size`\n5. Tool calls made directly through the Tools API skip Agent Builder's confirmation prompts, so restrict the key instead\n\n### Upstash Vector API + MCP\n\n1. Connect to mcp.upstash.com/mcp for Vector tools. `npx @upstash/mcp-server` has none\n2. Create the index with an embedding model if the agent works in text; then `query-data` and `upsert-data` take strings\n3. Give retrieval-only agents the index's read-only token, not the full one\n4. Filters use a SQL-like string (`genre = 'fiction' AND year \u003e 2020`) in the `filter` field\n5. Ignore the FAQ line saying hybrid isn't supported. Pass `queryMode` HYBRID, DENSE or SPARSE on hybrid indexes\n\n## Questions\n\n### Which is better for AI agents, Elasticsearch or Upstash Vector API + MCP?\n\nElasticsearch scores 67.7 (B) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 4 of 7 scored categories. Upstash Vector API + MCP leads on reliability, payments \u0026 pricing and transparency \u0026 trust.\n\n### Do Elasticsearch and Upstash Vector API + MCP need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call Elasticsearch and Upstash Vector API + MCP without installing anything?\n\nNo hosted endpoint is listed for Elasticsearch. Upstash Vector API + MCP has a hosted endpoint at https://api.upstash.com/v2.\n\n### Are Elasticsearch and Upstash Vector API + MCP open source?\n\nElasticsearch 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). No open-source release is listed for Upstash Vector API + MCP.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/elasticsearch-vs-upstash-vector.json, and with the fewest tokens: https://www.anchorterminal.com/compare/elasticsearch-vs-upstash-vector.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"elasticsearch\", \"b\": \"upstash-vector\"}`. From a terminal: `anchor compare elasticsearch upstash-vector`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/elasticsearch.json and https://www.anchorterminal.com/api/v1/tools/upstash-vector.json\n\n## Other comparisons with Elasticsearch or Upstash Vector API + MCP\n\n- [Chroma API + MCP vs Elasticsearch](https://www.anchorterminal.com/compare/chroma-vs-elasticsearch.md)\n- [Chroma API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/chroma-vs-upstash-vector.md)\n- [Elasticsearch vs Epsilla Vector Database](https://www.anchorterminal.com/compare/elasticsearch-vs-epsilla.md)\n- [Elasticsearch vs LanceDB](https://www.anchorterminal.com/compare/elasticsearch-vs-lancedb.md)\n- [Elasticsearch vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/elasticsearch-vs-milvus-zilliz.md)\n- [Elasticsearch vs Pinecone API + MCP](https://www.anchorterminal.com/compare/elasticsearch-vs-pinecone.md)\n- [Elasticsearch vs Qdrant API + MCP](https://www.anchorterminal.com/compare/elasticsearch-vs-qdrant.md)\n- [Elasticsearch vs Typesense API + MCP](https://www.anchorterminal.com/compare/elasticsearch-vs-typesense.md)\n- [Elasticsearch vs Vespa](https://www.anchorterminal.com/compare/elasticsearch-vs-vespa.md)\n- [Elasticsearch vs Weaviate API + MCP](https://www.anchorterminal.com/compare/elasticsearch-vs-weaviate.md)\n- [Epsilla Vector Database vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector.md)\n- [LanceDB vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-upstash-vector.md)\n- [Milvus and Zilliz Cloud API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-upstash-vector.md)\n- [Pinecone API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-upstash-vector.md)\n- [Qdrant API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/qdrant-vs-upstash-vector.md)\n- [Typesense API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/typesense-vs-upstash-vector.md)\n- [Upstash Vector API + MCP vs Vespa](https://www.anchorterminal.com/compare/upstash-vector-vs-vespa.md)\n- [Upstash Vector API + MCP vs Weaviate API + MCP](https://www.anchorterminal.com/compare/upstash-vector-vs-weaviate.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Elasticsearch vs Upstash Vector API + MCP", "url": "" } ], "description": "Elasticsearch scores 67.7 (B) on agent readiness against Upstash Vector API + MCP's 62.4 (B), and leads in 4 of 7 scored categories. Upstash Vector API + MCP leads on reliability, payments \u0026 pricing and transparency \u0026 trust. Both do db vector. Category scores, facts, verdicts…", "facts": [ "Elasticsearch B 67.7", "Upstash Vector API + MCP B 62.4", "scores" ], "h1": "Elasticsearch vs Upstash Vector API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-elasticsearch-vs-upstash-vector.png", "path": "/compare/elasticsearch-vs-upstash-vector", "published": "2026-10-01", "section": "tools", "title": "Elasticsearch vs Upstash Vector API + MCP for AI agents", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/elasticsearch-vs-upstash-vector" }, "tokens": { "markdown": 2500, "slim": 780 }, "version": 1 }