{ "data": { "a": { "slug": "lancedb", "name": "LanceDB", "vendor": "LanceDB", "vendorUrl": "https://www.lancedb.com", "kind": "sdk", "category": "vector-search", "summary": "Open-source embedded database on the Lance columnar format.", "url": "https://www.anchorterminal.com/tools/lancedb", "markdownUrl": "https://www.anchorterminal.com/tools/lancedb.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/lancedb.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/lancedb.json", "repo": "https://github.com/lancedb/lancedb", "license": "Apache-2.0", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "lancedb" }, { "registry": "npm", "name": "@lancedb/lancedb" } ], "auth": "none", "authNotes": "The open-source library needs no auth. It uses your object-store credentials when the table lives in S3, GCS or Azure. LanceDB Enterprise takes an API key in the `x-api-key` header (or OAuth credentials), plus `x-lancedb-database` when the endpoint is shared.", "pricing": "freemium", "pricingNotes": "The open-source library is free under Apache-2.0, and you pay only for the disk or object storage your tables sit on. LanceDB Enterprise is priced on request and the pricing page is a contact form. A LanceDB Cloud dashboard still exists at cloud.lancedb.com but the current docs only cover OSS and Enterprise, and no public rate card was found (https://lancedb.com/pricing).", "priceSummary": "Freemium", "where": "local", "x402": { "level": "no", "evidence": "No payment support. The library is free and Enterprise is sold by contract.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 11561, "npmWeekly": 921555, "pypiWeekly": 1944105, "asOf": "2026-09-30" }, "docsUrl": "https://docs.lancedb.com", "llmsTxt": "https://docs.lancedb.com/llms.txt", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters" ], "tags": [ "open-source", "self-hosted", "local", "enterprise", "llms-txt", "python", "typescript", "free-tier" ], "lastRelease": "2026-09-17", "graded": true, "anchor": { "graded": true, "score": 65.4, "grade": "B", "agentReady": false, "rank": 174, "ranked": true, "rankOf": 452, "categoryRank": 5, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 74, "maintenance": 93, "payments": 20, "reliability": 75, "schema": 81, "security": 44, "transparency": 79 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Embedded, no server, and tables can live directly in S3, GCS or Azure storage. No self-serve hosted API. Enterprise is sold through a contact form.", "strengths": [ "Embedded, no server, and tables can live directly in S3, GCS or Azure storage", "Four releases since late July, v0.39.0 on 17 September 2026, with passing CI on main", "Release notes with Breaking Changes and Deprecations sections, and minor-version bumps for breaking changes", "Apache-2.0 with no telemetry module in the library", "Python, TypeScript, Rust and Java clients from one version tag" ], "weaknesses": [ "No self-serve hosted API. Enterprise is sold through a contact form", "No official MCP server, only a 3-tool reference example", "The docs' OpenAPI link for the Enterprise REST API returns 404", "Still 0.x, and Node 22 or later is now required", "No SECURITY.md in the repository" ], "agentNotes": [ "Use it through the Python or TypeScript library. There's no public endpoint an agent can call without an Enterprise deployment", "Build an FTS index before calling `query_type=\"hybrid\"`, or hybrid search has no keyword side", "Call `optimize()` after many small writes, since each write adds a new file version", "Use `select()` to drop the vector column from results unless the task needs it", "On object storage, set a read consistency interval if several processes write the same table" ], "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": 65.4 } ], "editorialScores": { "ergonomics": 74, "maintenance": 93, "payments": 20, "reliability": 75, "schema": 81, "security": 44, "transparency": 75 }, "provenanceScore": 82 }, "connect": { "install": "pip install lancedb", "http": "curl -s \"$LANCEDB_URI/v1/tables\" -H \"x-api-key: $LANCEDB_API_KEY\" -H \"x-lancedb-database: $LANCEDB_DATABASE\"" }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/lancedb" }, "area": "developer", "provenance": { "legalEntity": "LanceDB Systems, Inc.", "domain": "lancedb.com", "domainRegistered": "2023-03-18", "endpointOnVendorDomain": true, "terms": "https://242023405.fs1.hubspotusercontent-na2.net/hubfs/242023405/Website%20Documentation/terms.pdf", "privacy": "https://242023405.fs1.hubspotusercontent-na2.net/hubfs/242023405/Website%20Documentation/privacy.pdf", "statusPage": "", "changelog": "https://github.com/lancedb/lancedb/releases", "securityTxt": "valid", "checked": "2026-09-30", "notes": [ "Terms and privacy are PDFs on a HubSpot file host linked from the lancedb.com footer. The terms PDF names the vendor only as Company, and the privacy PDF names LanceDB Systems, Inc.", "Enterprise endpoints are per deployment, so there's no fixed API host" ], "score": 82 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/lancedb.json", "live": { "slug": "lancedb", "versions": [ { "registry": "github", "name": "lancedb/lancedb", "version": "v0.39.0", "released": "2026-09-17", "seenAt": "2026-10-04T16:31:12.800171825Z" }, { "registry": "npm", "name": "@lancedb/lancedb", "version": "0.39.0", "seenAt": "2026-10-04T16:31:11.779716451Z" }, { "registry": "pypi", "name": "lancedb", "version": "0.39.0", "released": "2026-09-17", "seenAt": "2026-10-04T16:31:11.67156886Z" } ], "githubStars": 11601, "npmWeekly": 703831, "pypiWeekly": 1843207, "securityTxt": { "url": "https://lancedb.com/.well-known/security.txt", "state": "valid", "expires": "2027-07-31T00:00:00.000Z", "checkedAt": "2026-10-04T15:15:46.89927251Z" }, "llmsTxt": { "url": "https://docs.lancedb.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:55.793263733Z" }, "domain": { "domain": "lancedb.com", "registered": "2023-03-18", "source": "https://rdap.verisign.com/com/v1/domain/lancedb.com", "checkedAt": "2026-10-04T13:08:00.947853529Z" }, "pages": [ { "url": "https://lancedb.com/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-04T15:45:18.790941043Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "38a1044d238b" } ], "updatedAt": "2026-10-04T16:31:12.800171825Z" } }, "b": { "slug": "pinecone", "name": "Pinecone API + MCP", "vendor": "Pinecone", "vendorUrl": "https://www.pinecone.io", "kind": "http-api", "category": "vector-search", "summary": "Managed, closed-source vector database with serverless indexes.", "url": "https://www.anchorterminal.com/tools/pinecone", "markdownUrl": "https://www.anchorterminal.com/tools/pinecone.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/pinecone.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/pinecone.json", "repo": "https://github.com/pinecone-io/pinecone-mcp", "license": "proprietary (MCP server Apache-2.0)", "transports": [ "http", "stdio", "streamable-http" ], "remoteUrl": "https://api.pinecone.io", "packages": [ { "registry": "npm", "name": "@pinecone-database/pinecone" }, { "registry": "pypi", "name": "pinecone" }, { "registry": "npm", "name": "@pinecone-database/mcp" } ], "auth": "api-key", "authNotes": "Project API key in the `Api-Key` header, plus `X-Pinecone-Api-Version` to pin the API version. Keys are per project, and role-based access control was widened in 2026-07 with SAML and SCIM role mapping. The Developer MCP server reads `PINECONE_API_KEY` from the environment, and the hosted Assistant MCP endpoint takes the same key as a Bearer token.", "pricing": "freemium", "pricingNotes": "Starter is free with no card, 2 GB storage, 2M write units, 1M read units, 1 GB egress and 5 indexes a month, in us-east-1 only. Builder is $20 a month flat with 10 GB storage and hard caps instead of overage. Standard has a $50 a month minimum and a 3-week trial with $300 of credit. Enterprise has a $500 minimum and a 99.95% uptime SLA. Storage $0.33 per GB a month, write units $4 to $4.50 per million on Standard ($6 to $6.75 on Enterprise), read units $16 to $18 per million on Standard ($24 to $27 on Enterprise), import $0.25 per GB, backup $0.10 per GB a month, egress $0.10 per GB over a 100 GB allowance. Embedding from $0.08 per million tokens, reranking $2 per 1,000 requests. Hosted only, there's no free self-hosted edition (https://www.pinecone.io/pricing/).", "priceSummary": "$20 / mo", "where": "both", "x402": { "level": "no", "evidence": "No x402 or per-call payment support in the docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": 9, "popularity": { "githubStars": 71, "npmWeekly": 927707, "pypiWeekly": 970217, "asOf": "2026-09-30" }, "docsUrl": "https://docs.pinecone.io", "llmsTxt": "https://docs.pinecone.io/llms.txt", "openapi": "https://raw.githubusercontent.com/pinecone-io/pinecone-api/refs/heads/main/2026-07/db_data_2026-07.oas.yaml", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters", "db.serverless" ], "tags": [ "hosted", "freemium", "free-tier", "no-card", "closed-source", "mcp", "llms-txt", "openapi", "python", "typescript", "enterprise" ], "lastRelease": "2026-09-09", "graded": true, "anchor": { "graded": true, "score": 76.4, "grade": "BB", "agentReady": true, "rank": 28, "ranked": true, "rankOf": 452, "categoryRank": 1, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 93, "maintenance": 87, "payments": 40, "reliability": 75, "schema": 94, "security": 79, "transparency": 75 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-10-01" }, "negative": -2, "negativeNotes": [ "Since MCP server v0.3.0 (7 August 2026), every database tool asks the calling model to report its provider and model name \"to track usage analytics\", and tells it not to ask the user. The values go to Pinecone with the API calls. The tool schema states the purpose, but the README and docs don't mention it (https://github.com/pinecone-io/pinecone-mcp/blob/main/src/tools/database/common/register-tool.ts)." ], "verdict": "OpenAPI files per API version, quarterly versions with at least 12 months of support each. Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour.", "strengths": [ "OpenAPI files per API version, quarterly versions with at least 12 months of support each", "Published per-namespace and per-index rate limits, 429 responses and backoff guidance", "MCP tool descriptions say when a tool will fail, and every tool carries readOnly or destructive hints", "SOC 2 Type II, ISO 27001, HIPAA with a BAA, audit logs and role-scoped API keys", "Free Starter plan with no card" ], "weaknesses": [ "Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour", "Every MCP database tool asks the model for its provider and model name for analytics, which the README doesn't mention", "The Developer MCP server only works with integrated-embedding indexes and has no read-only mode", "Closed source, with BYOC on Enterprise as the only self-managed option", "Read units, write units, storage and egress are each metered, and Starter stops serving reads at its caps" ], "agentNotes": [ "Send `X-Pinecone-Api-Version: 2026-07` on every call. Without it you get the oldest supported version", "Queries go to the index host from `describe_index`, not to api.pinecone.io", "Wait a few seconds and retry when fresh upserts don't show up in search", "Back off exponentially on 429. There's no `Retry-After` header", "Starter blocks reads once egress or read units run out for the month, so a failing agent may just be out of quota" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 8, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "BB", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 76.4 } ], "editorialScores": { "ergonomics": 93, "maintenance": 87, "payments": 40, "reliability": 75, "schema": 94, "security": 79, "transparency": 63 }, "provenanceScore": 86 }, "connect": { "http": "curl -s https://api.pinecone.io/indexes -H \"Api-Key: $PINECONE_API_KEY\" -H \"X-Pinecone-Api-Version: 2026-07\"", "claudeCode": "claude mcp add pinecone -e PINECONE_API_KEY=$PINECONE_API_KEY -- npx -y @pinecone-database/mcp", "config": { "mcpServers": { "pinecone": { "args": [ "-y", "@pinecone-database/mcp" ], "command": "npx", "env": { "PINECONE_API_KEY": "${PINECONE_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/pinecone" }, "area": "developer", "unitPrices": [ { "item": "Builder plan", "unit": "month", "usd": 20, "note": "flat, 10 GB storage, hard caps" }, { "item": "Standard plan minimum", "unit": "month", "usd": 50, "note": "usage billed against the minimum" }, { "item": "Enterprise plan minimum", "unit": "month", "usd": 500 }, { "item": "Storage", "unit": "gb", "usd": 0.33, "note": "per GB a month" }, { "item": "Bulk import", "unit": "gb", "usd": 0.25 }, { "item": "Backup", "unit": "gb", "usd": 0.1, "note": "per GB a month" }, { "item": "Egress over allowance", "unit": "gb", "usd": 0.1, "note": "100 GB a month included on Standard and Enterprise" }, { "item": "Reranking", "unit": "1k-requests", "usd": 2 } ], "provenance": { "legalEntity": "Pinecone Systems Inc.", "domain": "pinecone.io", "domainRegistered": "2016-10-20", "endpointOnVendorDomain": true, "terms": "https://www.pinecone.io/terms/", "privacy": "https://www.pinecone.io/privacy/", "statusPage": "https://status.pinecone.io", "changelog": "https://docs.pinecone.io/release-notes", "securityTxt": "none", "checked": "2026-09-30", "score": 86 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/pinecone.json", "live": { "slug": "pinecone", "probe": { "target": "https://api.pinecone.io", "method": "get", "lastAt": "2026-10-05T03:17:30.733884233Z", "lastOk": true, "lastStatus": 401, "lastMs": 40, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 41, "p95ms24h": 92, "samples24h": 273, "samples30d": 1140, "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": 38, "ok": 38 } ] }, "vendorStatus": { "page": "https://status.pinecone.io", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-05T03:19:14.569953831Z" }, "versions": [ { "registry": "github", "name": "pinecone-io/pinecone-mcp", "version": "v0.3.0", "released": "2026-08-07", "seenAt": "2026-10-04T16:36:33.408663318Z" }, { "registry": "npm", "name": "@pinecone-database/mcp", "version": "0.3.0", "seenAt": "2026-10-04T16:36:32.141735764Z" }, { "registry": "npm", "name": "@pinecone-database/pinecone", "version": "9.0.0", "seenAt": "2026-10-04T16:36:31.087662333Z" }, { "registry": "pypi", "name": "pinecone", "version": "10.0.0", "released": "2026-09-03", "seenAt": "2026-10-04T16:36:31.955124175Z" } ], "githubStars": 71, "npmWeekly": 997504, "pypiWeekly": 1005784, "securityTxt": { "url": "https://pinecone.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:16:04.248414975Z" }, "llmsTxt": { "url": "https://docs.pinecone.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:18:06.567751285Z" }, "domain": { "domain": "pinecone.io", "checkedAt": "2026-10-04T13:05:10.320553533Z" }, "pages": [ { "url": "https://docs.pinecone.io/release-notes", "kind": "changelog", "status": 200, "checkedAt": "2026-10-04T15:43:53.547301589Z", "changedAt": "2026-10-02T15:20:15.909473495Z", "fingerprint": "dbe2b886af2a" }, { "url": "https://docs.pinecone.io/release-notes/2026.md", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-04T15:43:55.759270586Z", "changedAt": "2026-10-02T15:20:18.225718539Z", "fingerprint": "eed337dae9b9" }, { "url": "https://www.pinecone.io/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:51:38.420010854Z", "changedAt": "2026-10-03T15:39:29.335944004Z", "fingerprint": "b277c6900a1f" }, { "url": "https://www.pinecone.io/privacy/", "kind": "privacy", "status": 304, "checkedAt": "2026-10-04T15:51:40.912574741Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "68c298724ada" }, { "url": "https://www.pinecone.io/terms/", "kind": "terms", "status": 304, "checkedAt": "2026-10-04T15:51:42.742827598Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "32dd0db29edb" } ], "updatedAt": "2026-10-05T03:19:14.569953831Z" } }, "summary": "Pinecone API + MCP has a score of 76.4 (BB) against LanceDB's 65.4 (B). Both do db vector. The largest gap is security \u0026 auth, 35 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/lancedb-vs-pinecone", "json": "https://www.anchorterminal.com/compare/lancedb-vs-pinecone.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/lancedb-vs-pinecone.md", "slim": "https://www.anchorterminal.com/compare/lancedb-vs-pinecone.min.md" }, "markdown": "Pinecone API + MCP has a score of 76.4 (BB) against LanceDB's 65.4 (B). Both do db vector. The largest gap is security \u0026 auth, 35 points.\n\n- LanceDB: grade B, 65.4/100, rank #174 of 452. Markdown https://www.anchorterminal.com/tools/lancedb.md · JSON https://www.anchorterminal.com/api/v1/tools/lancedb.json\n- Pinecone API + MCP: grade BB, 76.4/100, rank #28 of 452. Markdown https://www.anchorterminal.com/tools/pinecone.md · JSON https://www.anchorterminal.com/api/v1/tools/pinecone.json\n\n## Which one, for what\n\nPick LanceDB for maintenance \u0026 community (+6).\n\nPick Pinecone API + MCP for schema \u0026 documentation (+13), agent ergonomics (+19), security \u0026 auth (+35), payments \u0026 pricing (+20).\n\n## Score by category\n\n| Category | Weight | LanceDB | Pinecone API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 75 | 75 | even |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 94 | Pinecone API + MCP +13 |\n| Agent ergonomics | 13% (16.2 this run) | 74 | 93 | Pinecone API + MCP +19 |\n| Security \u0026 auth | 14% (17.5 this run) | 44 | 79 | Pinecone API + MCP +35 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 40 | Pinecone API + MCP +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 93 | 87 | LanceDB +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 79 | 75 | LanceDB +4 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **65.4 · B** | **76.4 · BB** | |\n\n## Facts side by side\n\n| Fact | LanceDB | Pinecone API + MCP |\n| --- | --- | --- |\n| Kind | SDK + MCP | HTTP API |\n| Vendor | LanceDB | Pinecone |\n| Hosted endpoint | no (local only) | `https://api.pinecone.io` |\n| Transports | HTTP | HTTP, stdio, Streamable HTTP |\n| Auth | None | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | proprietary (MCP server Apache-2.0) |\n| Tools exposed | none | 9 |\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 | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-17 | 2026-09-09 |\n| Popularity | 12k stars, 922k npm/wk, 1.9M PyPI/wk | 71 stars, 928k npm/wk, 970k PyPI/wk |\n| Agent reviews | 3/5 (2) | 3.5/5 (8) |\n\n## Verdicts\n\n**LanceDB.** Embedded, no server, and tables can live directly in S3, GCS or Azure storage. No self-serve hosted API. Enterprise is sold through a contact form.\n\n**Pinecone API + MCP.** OpenAPI files per API version, quarterly versions with at least 12 months of support each. Nine regional incidents between 9 July and 28 September 2026, four lasting more than an hour.\n\n## Before you call either\n\n### LanceDB\n\n1. Use it through the Python or TypeScript library. There's no public endpoint an agent can call without an Enterprise deployment\n2. Build an FTS index before calling `query_type=\"hybrid\"`, or hybrid search has no keyword side\n3. Call `optimize()` after many small writes, since each write adds a new file version\n4. Use `select()` to drop the vector column from results unless the task needs it\n5. On object storage, set a read consistency interval if several processes write the same table\n\n### Pinecone API + MCP\n\n1. Send `X-Pinecone-Api-Version: 2026-07` on every call. Without it you get the oldest supported version\n2. Queries go to the index host from `describe_index`, not to api.pinecone.io\n3. Wait a few seconds and retry when fresh upserts don't show up in search\n4. Back off exponentially on 429. There's no `Retry-After` header\n5. Starter blocks reads once egress or read units run out for the month, so a failing agent may just be out of quota\n\n## Other comparisons with LanceDB or Pinecone API + MCP\n\n- [Chroma API + MCP vs LanceDB](https://www.anchorterminal.com/compare/chroma-vs-lancedb.md)\n- [Chroma API + MCP vs Pinecone API + MCP](https://www.anchorterminal.com/compare/chroma-vs-pinecone.md)\n- [Epsilla Vector Database vs LanceDB](https://www.anchorterminal.com/compare/epsilla-vs-lancedb.md)\n- [Epsilla Vector Database vs Pinecone API + MCP](https://www.anchorterminal.com/compare/epsilla-vs-pinecone.md)\n- [LanceDB vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-milvus-zilliz.md)\n- [LanceDB vs Qdrant API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-qdrant.md)\n- [LanceDB vs Typesense API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-typesense.md)\n- [LanceDB vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-upstash-vector.md)\n- [LanceDB vs Weaviate API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-weaviate.md)\n- [Milvus and Zilliz Cloud API + MCP vs Pinecone API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-pinecone.md)\n- [Pinecone API + MCP vs Qdrant API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-qdrant.md)\n- [Pinecone API + MCP vs Typesense API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-typesense.md)\n- [Pinecone API + MCP vs Upstash Vector API + MCP](https://www.anchorterminal.com/compare/pinecone-vs-upstash-vector.md)\n- [Pinecone API + MCP vs Weaviate API + MCP](https://www.anchorterminal.com/compare/pinecone-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": "LanceDB vs Pinecone API + MCP", "url": "" } ], "description": "Pinecone API + MCP has a score of 76.4 (BB) against LanceDB's 65.4 (B). Both do db vector. The largest gap is security \u0026 auth, 35 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "LanceDB B 65.4", "Pinecone API + MCP BB 76.4", "scores" ], "h1": "LanceDB vs Pinecone API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-lancedb-vs-pinecone.png", "path": "/compare/lancedb-vs-pinecone", "published": "2026-10-01", "section": "tools", "title": "LanceDB vs Pinecone API + MCP for AI agents, B 65.4 vs BB 76.4", "toc": null, "updated": "2026-10-05", "url": "https://www.anchorterminal.com/compare/lancedb-vs-pinecone" }, "tokens": { "markdown": 1500, "slim": 330 }, "version": 1 }