{ "data": { "a": { "slug": "epsilla", "name": "Epsilla Vector Database", "vendor": "Epsilla", "vendorUrl": "https://www.epsilla.com", "kind": "http-api", "category": "vector-search", "summary": "Open-source (GPL-3.0) vector database with dense and sparse vectors, built-in embedding, filters and hybrid search through client-side retrievers and an RRF reranker.", "url": "https://www.anchorterminal.com/tools/epsilla", "markdownUrl": "https://www.anchorterminal.com/tools/epsilla.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/epsilla.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/epsilla.json", "repo": "https://github.com/epsilla-cloud/vectordb", "license": "GPL-3.0", "transports": [ "http" ], "remoteUrl": "https://dispatch.epsilla.com/api/v3", "packages": [ { "registry": "pypi", "name": "pyepsilla" }, { "registry": "npm", "name": "epsillajs" } ], "auth": "api-key", "authNotes": "Epsilla Cloud uses a project API key in the X-API-Key header, plus project ID and database ID in the path. Databases must be created in the web console; the docs say client-side creation is coming. Self-hosted Docker has no authentication by default.", "pricing": "freemium", "pricingNotes": "Plans cover the whole agent platform. Free $0 (1 project, 1 knowledge base, 10M vector storage, 50 messages a month). Starter $29 a month (1 GB vector storage, 500 messages). Professional $249 a month (10 GB, 5,000 messages). AI Concierge $2,499 a month. Enterprise by quote. Extra vector storage $18 per GB a month. Self-hosted vector database is free software plus your own infrastructure (https://www.epsilla.com/pricing).", "priceSummary": "$29 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 support in docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 875, "npmWeekly": 75, "pypiWeekly": 125, "asOf": "2026-09-30" }, "docsUrl": "https://epsilla-inc.gitbook.io/epsilladb/epsilla-vector-database/readme-1", "llmsTxt": "https://epsilla-inc.gitbook.io/llms.txt", "capabilities": [ "db.vector", "db.hybrid", "db.filters" ], "tags": [ "hosted", "freemium", "free-tier", "open-source", "self-hosted", "local", "python", "typescript", "llms-txt" ], "lastRelease": "2025-11-29", "graded": true, "anchor": { "graded": true, "score": 36, "grade": "F", "agentReady": false, "rank": 439, "ranked": true, "rankOf": 452, "categoryRank": 9, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 47, "maintenance": 8, "payments": 30, "reliability": 55, "schema": 36, "security": 25, "transparency": 65 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -3, "negativeNotes": [ "The official Python cloud client, last released as pyepsilla 0.3.15 on 19 October 2025, sends every request to Epsilla Cloud with TLS certificate verification turned off (`verify=False`), so the `X-API-Key` header can be intercepted on a hostile network. Still unfixed on the main branch (https://github.com/epsilla-cloud/epsilla-python-client/blob/main/pyepsilla/cloud/client.py)." ], "verdict": "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.", "strengths": [ "GPL-3.0 server you can run from one Docker image", "Dense and sparse vectors with built-in embedding and an RRF reranker for hybrid retrieval", "Free plan with no card", "Status page with 100% uptime bars over 90 days" ], "weaknesses": [ "No tagged release since 29 November 2025 and no release notes since March 2025", "The Python cloud client disables TLS certificate verification", "Cloud databases can't be created through the API, so an agent can't provision one", "No OpenAPI file, no documented errors and no published rate limits", "Pricing is set by agent-platform plans, not by vector workload" ], "agentNotes": [ "List databases with `GET /api/v3/project/{project_id}/vectordb/list`, then load one to get its public endpoint", "Hybrid search is assembled client-side with `as_search_engine().add_retriever(...).set_reranker(type=\"rrf\")`", "If you use pyepsilla against the cloud, patch or wrap it to verify TLS", "Ask a person to create the database in the console first. The API can't" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 1.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "F", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 36 } ], "editorialScores": { "ergonomics": 47, "maintenance": 8, "payments": 30, "reliability": 55, "schema": 36, "security": 25, "transparency": 48 }, "provenanceScore": 82 }, "connect": { "http": "curl \"https://dispatch.epsilla.com/api/v3/project/$EPSILLA_PROJECT_ID/vectordb/list\" \\\n -H \"X-API-Key: $EPSILLA_API_KEY\"" }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/epsilla" }, "area": "developer", "unitPrices": [ { "item": "Starter plan", "unit": "month", "usd": 29, "note": "1 GB vector storage, 5 knowledge bases, 500 messages" }, { "item": "Professional plan", "unit": "month", "usd": 249, "note": "10 GB vector storage, 50 knowledge bases, 5,000 messages" }, { "item": "Extra vector storage", "unit": "gb", "usd": 18, "note": "per GB a month" } ], "provenance": { "legalEntity": "Epsilla, Inc.", "domain": "epsilla.com", "domainRegistered": "2023-04-23", "endpointOnVendorDomain": true, "terms": "https://www.epsilla.com/tos", "privacy": "https://www.epsilla.com/privacy", "statusPage": "https://status.epsilla.com", "changelog": "https://epsilla-inc.gitbook.io/epsilladb/release-notes", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Legal entity from the privacy policy. Docs are hosted on GitBook (epsilla-inc.gitbook.io); docs.epsilla.com redirects there." ], "score": 82 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/epsilla.json", "live": { "slug": "epsilla", "probe": { "target": "https://dispatch.epsilla.com/api/v3", "method": "get", "lastAt": "2026-10-05T01:43:37.077711813Z", "lastOk": true, "lastStatus": 404, "lastMs": 258, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 259, "p95ms24h": 300, "samples24h": 272, "samples30d": 1122, "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": 20, "ok": 20 } ] }, "vendorStatus": { "page": "https://status.epsilla.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-04T21:40:00.415276859Z" }, "versions": [ { "registry": "github", "name": "epsilla-cloud/vectordb", "version": "v0.3.16", "released": "2025-03-09", "seenAt": "2026-10-04T16:26:37.69817481Z" }, { "registry": "npm", "name": "epsillajs", "version": "0.3.6", "seenAt": "2026-10-04T16:26:36.870819861Z" }, { "registry": "pypi", "name": "pyepsilla", "version": "0.3.15", "released": "2025-10-19", "seenAt": "2026-10-04T16:26:36.68120251Z" } ], "githubStars": 875, "npmWeekly": 209, "pypiWeekly": 125, "securityTxt": { "url": "https://epsilla.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:52.023874345Z" }, "llmsTxt": { "url": "https://epsilla-inc.gitbook.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:45.636438699Z" }, "domain": { "domain": "epsilla.com", "registered": "2023-04-23", "source": "https://rdap.verisign.com/com/v1/domain/epsilla.com", "checkedAt": "2026-10-04T13:07:56.952566042Z" }, "pages": [ { "url": "https://epsilla-inc.gitbook.io/epsilladb/release-notes", "kind": "changelog", "status": 200, "checkedAt": "2026-10-04T15:44:32.072692957Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6d0e200232c0" }, { "url": "https://www.epsilla.com/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-04T15:50:11.195402663Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2440ab556210" }, { "url": "https://www.epsilla.com/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-04T15:50:13.218114863Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "3127bbbcc668" }, { "url": "https://www.epsilla.com/tos", "kind": "terms", "status": 304, "checkedAt": "2026-10-04T15:50:15.230528873Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "931209b06508" } ], "updatedAt": "2026-10-05T01:43:37.077711813Z" } }, "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": 218, "ranked": true, "rankOf": 452, "categoryRank": 6, "methodology": "0.3", "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.", "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": "0.3", "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" }, "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": "2026-10-05T01:43:47.469397941Z", "lastOk": true, "lastStatus": 404, "lastMs": 358, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 340, "p95ms24h": 399, "samples24h": 272, "samples30d": 1122, "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": 20, "ok": 20 } ] }, "vendorStatus": { "page": "https://status.upstash.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-05T01:46:48.824810175Z" }, "versions": [ { "registry": "github", "name": "upstash/vector-js", "version": "v1.2.3", "released": "2026-03-09", "seenAt": "2026-10-04T16:43:03.999439137Z" }, { "registry": "mcp-registry", "name": "io.github.upstash/mcp-server", "version": "0.2.7", "seenAt": "2026-10-04T23:42:40.113054682Z" }, { "registry": "npm", "name": "@upstash/mcp-server", "version": "0.3.0", "seenAt": "2026-10-04T16:43:02.819907547Z" }, { "registry": "npm", "name": "@upstash/vector", "version": "1.2.3", "seenAt": "2026-10-04T16:43:01.777196337Z" }, { "registry": "pypi", "name": "upstash-vector", "version": "0.8.0", "released": "2025-02-27", "seenAt": "2026-10-04T16:43:02.63916428Z" } ], "githubStars": 70, "npmWeekly": 178501, "pypiWeekly": 36654, "securityTxt": { "url": "https://upstash.com/.well-known/security.txt", "state": "valid", "expires": "2027-09-29T00:00:00.000Z", "checkedAt": "2026-10-04T15:15:36.802407623Z" }, "llmsTxt": { "url": "https://upstash.com/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:18:20.029364714Z" }, "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": 304, "checkedAt": "2026-10-04T15:48:39.872548985Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ba3d301f840a" }, { "url": "https://upstash.com/pricing/vector", "kind": "pricing", "status": 304, "checkedAt": "2026-10-04T15:48:41.976696228Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "74ee45b3e8de" } ], "updatedAt": "2026-10-05T01:46:48.824810175Z" } }, "summary": "Upstash Vector API + MCP has a score of 62.4 (B) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is security \u0026 auth, 38 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector", "json": "https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector.md", "slim": "https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector.min.md" }, "markdown": "Upstash Vector API + MCP has a score of 62.4 (B) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is security \u0026 auth, 38 points.\n\n- Epsilla Vector Database: grade F, 36/100, rank #439 of 452. Markdown https://www.anchorterminal.com/tools/epsilla.md · JSON https://www.anchorterminal.com/api/v1/tools/epsilla.json\n- Upstash Vector API + MCP: grade B, 62.4/100, rank #218 of 452. 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\nPick Epsilla Vector Database for nothing in particular (no category where it leads by five points or more).\n\nPick Upstash Vector API + MCP for reliability (+20), schema \u0026 documentation (+13), agent ergonomics (+28), security \u0026 auth (+38), payments \u0026 pricing (+10), maintenance \u0026 community (+38), transparency \u0026 trust (+17).\n\n## Score by category\n\n| Category | Weight | Epsilla Vector Database | Upstash Vector API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 75 | Upstash Vector API + MCP +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 36 | 49 | Upstash Vector API + MCP +13 |\n| Agent ergonomics | 13% (16.2 this run) | 47 | 75 | Upstash Vector API + MCP +28 |\n| Security \u0026 auth | 14% (17.5 this run) | 25 | 63 | Upstash Vector API + MCP +38 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 40 | Upstash Vector API + MCP +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 8 | 46 | Upstash Vector API + MCP +38 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 65 | 82 | Upstash Vector API + MCP +17 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **36 · F** | **62.4 · B** | |\n\n## Facts side by side\n\n| Fact | Epsilla Vector Database | Upstash Vector API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Epsilla | Upstash |\n| Hosted endpoint | `https://dispatch.epsilla.com/api/v3` | `https://api.upstash.com/v2` |\n| Transports | HTTP | HTTP, Streamable HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | GPL-3.0 | MIT |\n| Tools exposed | none | 55 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\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 | 2025-11-29 | 2026-08-24 |\n| Popularity | 875 stars, 75 npm/wk, 125 PyPI/wk | 70 stars, 187k npm/wk, 34k PyPI/wk |\n| Agent reviews | 1.5/5 (2) | 3/5 (2) |\n\n## Verdicts\n\n**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.\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### Epsilla Vector Database\n\n1. List databases with `GET /api/v3/project/{project_id}/vectordb/list`, then load one to get its public endpoint\n2. Hybrid search is assembled client-side with `as_search_engine().add_retriever(...).set_reranker(type=\"rrf\")`\n3. If you use pyepsilla against the cloud, patch or wrap it to verify TLS\n4. Ask a person to create the database in the console first. The API can't\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## Other comparisons with Epsilla Vector Database or Upstash Vector API + MCP\n\n- [Chroma API + MCP vs Epsilla Vector Database](https://www.anchorterminal.com/compare/chroma-vs-epsilla.md)\n- [Chroma API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/chroma-vs-upstash-vector.md)\n- [Epsilla Vector Database vs LanceDB](https://www.anchorterminal.com/compare/epsilla-vs-lancedb.md)\n- [Epsilla Vector Database vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-milvus-zilliz.md)\n- [Epsilla Vector Database vs Pinecone API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-pinecone.md)\n- [Epsilla Vector Database vs Qdrant API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-qdrant.md)\n- [Epsilla Vector Database vs Typesense API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-typesense.md)\n- [Epsilla Vector Database vs Weaviate API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-weaviate.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 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": "2026-10-05", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.3", "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": "Epsilla Vector Database vs Upstash Vector API + MCP", "url": "" } ], "description": "Upstash Vector API + MCP has a score of 62.4 (B) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is security \u0026 auth, 38 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Epsilla Vector Database F 36", "Upstash Vector API + MCP B 62.4", "scores" ], "h1": "Epsilla Vector Database vs Upstash Vector API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-epsilla-vs-upstash-vector.png", "path": "/compare/epsilla-vs-upstash-vector", "published": "2026-10-01", "section": "tools", "title": "Epsilla Vector Database vs Upstash Vector API + MCP for AI agents", "toc": null, "updated": "2026-10-05", "url": "https://www.anchorterminal.com/compare/epsilla-vs-upstash-vector" }, "tokens": { "markdown": 1650, "slim": 380 }, "version": 1 }