CluedIn vs Semarchy
master data management head-to-head for ERP teams: evidenced capabilities, published pricing, and which ERPs each actually integrates with.
| Starting price | Usage-based (pay-as-you-go), tiered | Subscription, quote-based |
| Deployment | Cloud | Cloud, On-premises, SaaS |
| Company size | Mid-market, Enterprise | Mid-market, Enterprise |
| Stated ERP integrations | SAP, Oracle Fusion Cloud, Microsoft Dynamics 365 | SAP, Oracle Fusion Cloud, NetSuite, Microsoft Dynamics 365 |
| Vendor | CluedIn | Semarchy |
Our take
Where CluedIn leads
- Stronger evidenced coverage on 12 of the 30 capabilities where they differ (led by ai/ml-assisted matching and golden record / relationship graph).
Where Semarchy leads
- Stronger evidenced coverage on 18 of the 30 capabilities where they differ (led by hierarchy & relationship management and configurable survivorship rules).
- Stated NetSuite integration the alternative doesn't list.
Where they differ
The 30 capabilities (of 58 in the master data management taxonomy) where the evidence separates them, biggest gaps first. “Not evidenced” means our research found no public documentation of this capability — the vendor may still offer it. Confirm on a demo.
| Capability | ||
|---|---|---|
| Hierarchy & relationship managementData Modeling & Domain Coverage | Not evidenced | Core strength |
| AI/ML-assisted matchingEntity Resolution & Golden Records | Core strength Graph-based entity resolution and matching | Not evidenced |
| Configurable survivorship rulesEntity Resolution & Golden Records | Not evidenced | Core strength |
| Merge / unmerge of duplicate recordsEntity Resolution & Golden Records | Not evidenced | Core strength |
| Golden record / relationship graphEntity Resolution & Golden Records | Core strength Graph-native mastering across domains | Not evidenced |
| Rule-based data validationData Quality Management | Not evidenced | Core strength Built-in data quality rules and validation |
| Data profilingData Quality Management | Not evidenced | Core strength |
| Data quality dashboards & scoringData Quality Management | Core strength Continuous data quality monitoring and scoring | Not evidenced |
| Audit trail & change historyData Governance & Stewardship | Core strength Full lineage, attribution and audit trail | Not evidenced |
| Business glossaryData Catalog & Lineage | Not evidenced | Core strength Business glossary and data catalog |
| End-to-end data lineageData Catalog & Lineage | Core strength | Not evidenced |
| Batch / ETL data movementConnectivity & Integration | Not evidenced | Core strength Batch and real-time data movement |
| Centralized reference / code data managementReference Data Management | Not evidenced | Core strength Hierarchy and reference data management |
| AI assistant / copilotAI & Automation | Not evidenced | Core strength AI-augmented data engineering copilot |
| AI-driven data enrichmentAI & Automation | Core strength AI-driven data enrichment and validation | Not evidenced |
| Financial master data domainData Modeling & Domain Coverage | Not evidenced | Supported |
| Deterministic (exact) matchingEntity Resolution & Golden Records | Not evidenced | Supported |
| Automated anomaly detectionData Quality Management | Supported AI agents that detect, decide and fix data issues automatically | Not evidenced |
| Role-based access controlData Governance & Stewardship | Supported Role-based access control via Azure RBAC | Not evidenced |
| Data ownership / accountability assignmentData Governance & Stewardship | Not evidenced | Supported Federated governance model across teams |
| Prebuilt ERP / enterprise-app connectorsConnectivity & Integration | Core strength Prebuilt connectors for cloud and on-premises sources incl. SAP, Oracle, Salesforce | Partial Installable SAP xDI component for building custom flows; no certified prebuilt connector |
| Native cloud data platform connectorsConnectivity & Integration | Supported 90+ Azure Data Factory-based connectors (Redshift, BigQuery, Teradata, etc.) | Not evidenced |
| Agentic / autonomous governance workflowsAI & Automation | Supported AI agents that detect, decide and fix data issues automatically | Not evidenced |
| Customer / party domain masteringData Modeling & Domain Coverage | Supported | Core strength |
| Product domain masteringData Modeling & Domain Coverage | Supported | Core strength |
| Supplier / vendor domain masteringData Modeling & Domain Coverage | Supported | Core strength |
| Flexible / no-code data modelingData Modeling & Domain Coverage | Supported "Eventual connectivity" schema-flexible ingestion, no rigid upfront mapping | Core strength Flexible, code-free data modeling |
| Probabilistic / fuzzy matchingEntity Resolution & Golden Records | Core strength Fuzzy-logic machine learning for record linking | Supported Match/merge rules |
| Configurable data stewardship workflowsData Governance & Stewardship | Supported Data stewardship workflows for business users | Core strength Stewardship workflows and task assignment |
| REST APIConnectivity & Integration | Supported GraphQL, REST and WebSocket data access | Core strength REST API for real-time integration |
Both grade identically on the other 28 capabilities — see each product's full profile: CluedIn, Semarchy.
CluedIn vs Semarchy — FAQs
Is CluedIn or Semarchy better for ERP integration?
Both state integrations with SAP, Oracle Fusion Cloud, Microsoft Dynamics 365. Semarchy additionally lists NetSuite. Always verify the connector against your ERP version with a reference customer.
Which is cheaper, CluedIn or Semarchy?
Neither publishes a list price — both quote. Ask each for the all-in first-year cost at your seat count, as one number, and compare those.
Get pricing for both
Tell us your ERP, seat count and must-haves and we'll come back with an independent view of what CluedIn and Semarchy should each cost you — and whether a third option belongs on your shortlist.