Clarivate vs Glean
Clarivate vs Glean: side-by-side comparison of two enterprise-search adjacencies systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Where they differ (8)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| Clarivate | Glean | |
|---|---|---|
| Type | Curated bibliographic metadata | Enterprise search + per-user KG |
| Created | 2016 | 2019-01 |
| Funding | Public company (NYSE:CLVT); $1B pre-IPO funding | $765M total $7.2B val Series F · 2025-06 |
| Backend storage | searched not found | custom |
| API surface | REST APIs and XML data feeds (Web of Science APIs, Derwent patent data APIs, Darts-ip API); IPOne MCP servers | REST, SDK: Python, JS/TS |
| Embedding | searched not found | locked |
| Multi-tenancy | searched not found | Logically isolated single-tenant per customer (data, models, telemetry siloed; no shared vector index); option for fully isolated single-tenant in customer AWS/Azure/GCP |
| MCP | yes — IPOne MCP servers: Derwent Patent MCP, CompuMark Trademark MCP, Darts-ip Litigation MCP | native (first-party) — Glean MCP server |
At a glance
| Clarivate | Glean | |
|---|---|---|
| Section | Enterprise-search adjacencies | Enterprise-search adjacencies |
| Tier | T1 | T1 |
| Type | Curated bibliographic metadata | Enterprise search + per-user KG |
| Created | 2016 | 2019-01 |
| Pricing | Enterprise only | Enterprise only |
| Funding | Public company (NYSE:CLVT); $1B pre-IPO funding | $765M total $7.2B val Series F · 2025-06 |
| Backend storage | searched not found | custom |
| Deployment | Both | Both |
| API surface | REST APIs and XML data feeds (Web of Science APIs, Derwent patent data APIs, Darts-ip API); IPOne MCP servers | REST, SDK: Python, JS/TS |
| Embedding | searched not found | locked |
| Multi-tenancy | searched not found | Logically isolated single-tenant per customer (data, models, telemetry siloed; no shared vector index); option for fully isolated single-tenant in customer AWS/Azure/GCP |
| MCP | yes — IPOne MCP servers: Derwent Patent MCP, CompuMark Trademark MCP, Darts-ip Litigation MCP | native (first-party) — Glean MCP server |
| A2A | no Google A2A (Agent2Agent) integration documented as of 2026-05. | no Google A2A (Agent2Agent) integration documented as of 2026-05. |
| OpenTelemetry | no first-party OpenTelemetry exporter documented; standard logs/metrics typically available. | no first-party OpenTelemetry exporter documented; standard logs/metrics typically available. |
| Optimised for | enterprise connectors + entitlements + governance + RAG-grounding | enterprise connectors + entitlements + governance + RAG-grounding |
| Anti-fit | not for SMB / consumer use cases | not for SMB / consumer use cases |
Pros & cons
Clarivate
Pros: Curated bibliographic knowledge graph (Web of Science, Cortellis) — ground-truth memory for science / pharma / IP search.
Cons: Subscription cost is high; coverage is opinionated by editorial scope; not a developer-facing API for agent integration.
Glean
Pros: Most polished enterprise AI search product — connectors, governance, ranking, and conversational interface tightly integrated; high enterprise NPS.
Cons: Enterprise pricing; closed product so memory primitives aren't exposed to developers building agents.