{ "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": "milvus-zilliz", "name": "Milvus and Zilliz Cloud API + MCP", "vendor": "Zilliz", "vendorUrl": "https://zilliz.com", "kind": "http-api", "category": "vector-search", "summary": "Milvus is the open-source (Apache-2.0, LF AI and Data) vector database, run embedded as Milvus Lite, standalone or distributed on Kubernetes.", "url": "https://www.anchorterminal.com/tools/milvus-zilliz", "markdownUrl": "https://www.anchorterminal.com/tools/milvus-zilliz.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/milvus-zilliz.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/milvus-zilliz.json", "repo": "https://github.com/milvus-io/milvus", "license": "Apache-2.0", "transports": [ "http", "stdio", "streamable-http" ], "remoteUrl": "https://api.cloud.zilliz.com/v2", "packages": [ { "registry": "pypi", "name": "pymilvus" }, { "registry": "npm", "name": "@zilliz/milvus2-sdk-node" }, { "registry": "pypi", "name": "zilliz-mcp-server" } ], "auth": "api-key", "authNotes": "Zilliz Cloud uses an API key (or cluster username:password) as Bearer on both the control plane (api.cloud.zilliz.com) and each cluster endpoint. Self-hosted Milvus has authentication off by default; turn it on and pass user:password as the token. The Zilliz MCP server reads ZILLIZ_CLOUD_TOKEN.", "pricing": "freemium", "pricingNotes": "Zilliz Cloud Free cluster with 5 GB storage (about 1M 768-dim vectors), 2.5M vCUs a month and 5 collections, no card. Serverless bills $4 per million vCUs for reads and writes (a read costs at least 6 vCUs; 1M 768-dim inserts cost about $3) plus storage, which the docs price at $0.025 per GB a month in their worked example. Dedicated bills per CU-hour ($0.248 in the docs' example region) plus storage. $100 of trial credit on sign-up with a work email, valid 30 days. Self-hosted Milvus is free software plus your own infrastructure (https://zilliz.com/pricing).", "priceSummary": "$0. / unit", "where": "both", "x402": { "level": "no", "evidence": "No x402 support in Zilliz docs, pricing or MCP README (checked 2026-09-30).", "endpoints": [] }, "toolCount": 16, "popularity": { "githubStars": 46289, "npmWeekly": 178754, "pypiWeekly": 882796, "asOf": "2026-09-30" }, "docsUrl": "https://milvus.io/docs", "llmsTxt": "https://milvus.io/llms.txt", "capabilities": [ "db.vector", "db.hybrid", "db.fulltext", "db.filters", "db.serverless" ], "tags": [ "hosted", "freemium", "no-card", "free-tier", "open-source", "self-hosted", "local", "mcp", "llms-txt", "python", "typescript", "enterprise" ], "lastRelease": "2026-09-20", "graded": true, "anchor": { "graded": true, "score": 57.5, "grade": "C", "agentReady": false, "rank": 293, "ranked": true, "rankOf": 452, "categoryRank": 7, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 62, "maintenance": 85, "payments": 35, "reliability": 85, "schema": 69, "security": 53, "transparency": 70 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -8, "negativeNotes": [ "CVE-2025-64513 (GHSA-mhjq-8c7m-3f7p), CVSS 9.3, published 10 November 2025, an authentication bypass in the Milvus Proxy giving full admin access. Patched in 2.4.24, 2.5.21 and 2.6.5. Fixed and disclosed, so a small deduction (-2) (https://github.com/advisories/GHSA-mhjq-8c7m-3f7p).", "CVE-2026-26190 (GHSA-7ppg-37fh-vcr6), CVSS 9.8, published 11 February 2026, unauthenticated access to REST APIs on metrics port 9091. Patched in 2.5.27 and 2.6.10. Fixed and disclosed (-2) (https://github.com/advisories/GHSA-7ppg-37fh-vcr6).", "Before 18 August 2026 the Zilliz MCP data tools accepted a caller-supplied endpoint, so a prompt-injected URL could receive the server-held ZILLIZ_CLOUD_TOKEN. The fix is on GitHub, but the README still installs with `uvx zilliz-mcp-server` and the only PyPI release is 1.0.0 from 30 June 2025, with no advisory (-4) (https://github.com/zilliztech/zilliz-mcp-server/commit/23beec692734e61c688e57fc8a8bf8f4cf610ab5, https://pypi.org/project/zilliz-mcp-server/#history)." ], "verdict": "Apache-2.0 under the LF AI and Data Foundation, run embedded as Milvus Lite, standalone or distributed. The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding.", "strengths": [ "Apache-2.0 under the LF AI and Data Foundation, run embedded as Milvus Lite, standalone or distributed", "Dense, sparse and BM25 full-text search with hybrid reranking in one collection", "One status incident in 90 days, 1 hour 7 minutes of control-plane errors with data access unaffected", "Rate limits and search caps published per plan, and a 99.95% SLA on Dedicated Enterprise", "Weekly releases across the 2.6 and 3.0 lines, the latest on 28 September 2026" ], "weaknesses": [ "The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding", "Two critical Milvus advisories in the past year, CVE-2025-64513 and CVE-2026-26190, both patched", "16 MCP tools with no annotations or read-only mode, including delete_entities and suspend_cluster", "No OpenAPI file for the Zilliz Cloud REST API", "Collections need a schema and an index before search, and every MCP data call needs cluster and region IDs" ], "agentNotes": [ "Install the Zilliz MCP server from GitHub, not PyPI, until a release newer than 1.0.0 ships", "Use the cluster endpoint for data (`/v2/vectordb/entities/search`) and api.cloud.zilliz.com only for cluster management", "Set `consistencyLevel` to Strong when a test needs a write visible to the next query. The default is Bounded", "Expect at most 1,024 results and 10 query vectors per search on Free and Serverless", "Return only the fields you need. Returning the vector field multiplies read cost" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 57.5 } ], "editorialScores": { "ergonomics": 62, "maintenance": 85, "payments": 35, "reliability": 85, "schema": 69, "security": 53, "transparency": 65 }, "provenanceScore": 75 }, "connect": { "http": "curl -X POST \"$CLUSTER_ENDPOINT/v2/vectordb/entities/search\" \\\n -H \"Authorization: Bearer $ZILLIZ_API_KEY\" -H \"Content-Type: application/json\" \\\n -d '{\"collectionName\":\"docs\",\"data\":[[0.12,0.33,0.51,0.08]],\"limit\":3,\"outputFields\":[\"id\"]}'", "claudeCode": "claude mcp add zilliz -e ZILLIZ_CLOUD_TOKEN=$ZILLIZ_API_KEY -- uvx zilliz-mcp-server", "config": { "mcpServers": { "zilliz-mcp-server": { "args": [ "zilliz-mcp-server" ], "command": "uvx", "env": { "ZILLIZ_CLOUD_TOKEN": "${ZILLIZ_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/db.vector", "tool": "https://letme.dev/milvus-zilliz" }, "area": "developer", "unitPrices": [ { "item": "Serverless vCU (reads and writes)", "unit": "compute-unit", "usd": 0.000004, "note": "$4 per million vCUs; minimum 6 vCUs a read, 1 KB inserted = 0.25 vCU" }, { "item": "Storage", "unit": "gb", "usd": 0.025, "note": "per GB a month in the docs' worked example; varies by region and plan" } ], "provenance": { "legalEntity": "Zilliz Inc.", "domain": "zilliz.com", "domainRegistered": "2015-02-12", "endpointOnVendorDomain": false, "terms": "https://zilliz.com/terms-and-conditions", "privacy": "https://zilliz.com/privacy-policy", "statusPage": "https://status.zilliz.com", "changelog": "https://docs.zilliz.com/docs/changelogs", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The control plane is api.cloud.zilliz.com, but cluster data endpoints are on vectordb.zillizcloud.com, a separate domain.", "Milvus is a Linux Foundation (LF AI and Data) project; Zilliz is its main contributor." ], "score": 75 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/milvus-zilliz.json", "live": { "slug": "milvus-zilliz", "probe": { "target": "https://api.cloud.zilliz.com/v2", "method": "get", "lastAt": "2026-10-04T23:48:11.941524547Z", "lastOk": true, "lastStatus": 404, "lastMs": 462, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 447, "p95ms24h": 487, "samples24h": 272, "samples30d": 1100, "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": 270, "ok": 270 } ] }, "vendorStatus": { "page": "https://status.zilliz.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-04T23:49:19.474858455Z" }, "versions": [ { "registry": "github", "name": "milvus-io/milvus", "version": "v3.0.2", "released": "2026-09-20", "seenAt": "2026-10-04T16:33:10.881640535Z" }, { "registry": "npm", "name": "@zilliz/milvus2-sdk-node", "version": "3.0.6", "seenAt": "2026-10-04T16:33:08.909176035Z" }, { "registry": "pypi", "name": "pymilvus", "version": "3.0.2", "released": "2026-09-18", "seenAt": "2026-10-04T16:33:08.796994677Z" }, { "registry": "pypi", "name": "zilliz-mcp-server", "version": "1.0.0", "released": "2025-06-30", "seenAt": "2026-10-04T16:33:09.719796239Z" } ], "githubStars": 46317, "npmWeekly": 184748, "pypiWeekly": 923466, "securityTxt": { "url": "https://zilliz.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:52.762746791Z" }, "llmsTxt": { "url": "https://milvus.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:58.733020799Z" }, "domain": { "domain": "zilliz.com", "registered": "2015-02-12", "source": "https://rdap.verisign.com/com/v1/domain/zilliz.com", "checkedAt": "2026-10-04T13:04:23.500221504Z" }, "pages": [ { "url": "https://docs.zilliz.com/docs/changelogs", "kind": "changelog", "status": 200, "checkedAt": "2026-10-04T15:44:21.305071026Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "409fe866218b" }, { "url": "https://zilliz.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:53:08.770131799Z", "changedAt": "2026-10-03T15:40:59.110727668Z", "fingerprint": "65da27d06cde" }, { "url": "https://zilliz.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:53:10.939115676Z", "changedAt": "2026-10-03T15:41:01.2788898Z", "fingerprint": "f8a59b9d0755" }, { "url": "https://zilliz.com/terms-and-conditions", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:53:12.921253938Z", "changedAt": "2026-10-03T15:41:03.269035914Z", "fingerprint": "79d9d824a30e" } ], "updatedAt": "2026-10-04T23:49:19.474858455Z" } }, "summary": "LanceDB has a score of 65.4 (B) against Milvus and Zilliz Cloud API + MCP's 57.5 (C). Both do db vector. The largest gap is payments \u0026 pricing, 15 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/lancedb-vs-milvus-zilliz", "json": "https://www.anchorterminal.com/compare/lancedb-vs-milvus-zilliz.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/lancedb-vs-milvus-zilliz.md", "slim": "https://www.anchorterminal.com/compare/lancedb-vs-milvus-zilliz.min.md" }, "markdown": "LanceDB has a score of 65.4 (B) against Milvus and Zilliz Cloud API + MCP's 57.5 (C). Both do db vector. The largest gap is payments \u0026 pricing, 15 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- Milvus and Zilliz Cloud API + MCP: grade C, 57.5/100, rank #293 of 452. Markdown https://www.anchorterminal.com/tools/milvus-zilliz.md · JSON https://www.anchorterminal.com/api/v1/tools/milvus-zilliz.json\n\n## Which one, for what\n\nPick LanceDB for schema \u0026 documentation (+12), agent ergonomics (+12), maintenance \u0026 community (+8), transparency \u0026 trust (+9).\n\nPick Milvus and Zilliz Cloud API + MCP for reliability (+10), security \u0026 auth (+9), payments \u0026 pricing (+15).\n\n## Score by category\n\n| Category | Weight | LanceDB | Milvus and Zilliz Cloud API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 75 | 85 | Milvus and Zilliz Cloud API + MCP +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 69 | LanceDB +12 |\n| Agent ergonomics | 13% (16.2 this run) | 74 | 62 | LanceDB +12 |\n| Security \u0026 auth | 14% (17.5 this run) | 44 | 53 | Milvus and Zilliz Cloud API + MCP +9 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 35 | Milvus and Zilliz Cloud API + MCP +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 93 | 85 | LanceDB +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 79 | 70 | LanceDB +9 |\n| Negative events | ≤15 | 0 | -8 | |\n| **Total** | | **65.4 · B** | **57.5 · C** | |\n\n## Facts side by side\n\n| Fact | LanceDB | Milvus and Zilliz Cloud API + MCP |\n| --- | --- | --- |\n| Kind | SDK + MCP | HTTP API |\n| Vendor | LanceDB | Zilliz |\n| Hosted endpoint | no (local only) | `https://api.cloud.zilliz.com/v2` |\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 | Apache-2.0 |\n| Tools exposed | none | 16 |\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 | 2026-09-20 |\n| Popularity | 12k stars, 922k npm/wk, 1.9M PyPI/wk | 46k stars, 179k npm/wk, 883k PyPI/wk |\n| Agent reviews | 3/5 (2) | 3.5/5 (2) |\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**Milvus and Zilliz Cloud API + MCP.** Apache-2.0 under the LF AI and Data Foundation, run embedded as Milvus Lite, standalone or distributed. The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding.\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### Milvus and Zilliz Cloud API + MCP\n\n1. Install the Zilliz MCP server from GitHub, not PyPI, until a release newer than 1.0.0 ships\n2. Use the cluster endpoint for data (`/v2/vectordb/entities/search`) and api.cloud.zilliz.com only for cluster management\n3. Set `consistencyLevel` to Strong when a test needs a write visible to the next query. The default is Bounded\n4. Expect at most 1,024 results and 10 query vectors per search on Free and Serverless\n5. Return only the fields you need. Returning the vector field multiplies read cost\n\n## Other comparisons with LanceDB or Milvus and Zilliz Cloud API + MCP\n\n- [Chroma API + MCP vs LanceDB](https://www.anchorterminal.com/compare/chroma-vs-lancedb.md)\n- [Chroma API + MCP vs Milvus and Zilliz Cloud API + MCP](https://www.anchorterminal.com/compare/chroma-vs-milvus-zilliz.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- [LanceDB vs Pinecone API + MCP](https://www.anchorterminal.com/compare/lancedb-vs-pinecone.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- [Milvus and Zilliz Cloud API + MCP vs Qdrant API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-qdrant.md)\n- [Milvus and Zilliz Cloud API + MCP vs Typesense API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-typesense.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- [Milvus and Zilliz Cloud API + MCP vs Weaviate API + MCP](https://www.anchorterminal.com/compare/milvus-zilliz-vs-weaviate.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-04", "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 Milvus and Zilliz Cloud API + MCP", "url": "" } ], "description": "LanceDB has a score of 65.4 (B) against Milvus and Zilliz Cloud API + MCP's 57.5 (C). Both do db vector. The largest gap is payments \u0026 pricing, 15 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "LanceDB B 65.4", "Milvus and Zilliz Cloud API + MCP C 57.5", "scores" ], "h1": "LanceDB vs Milvus and Zilliz Cloud API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-lancedb-vs-milvus-zilliz.png", "path": "/compare/lancedb-vs-milvus-zilliz", "published": "2026-10-01", "section": "tools", "title": "LanceDB vs Milvus and Zilliz Cloud API + MCP for AI agents", "toc": null, "updated": "2026-10-04", "url": "https://www.anchorterminal.com/compare/lancedb-vs-milvus-zilliz" }, "tokens": { "markdown": 1600, "slim": 380 }, "version": 1 }