Summary
Both Primentra and CluedIn are built for Microsoft data teams, but from opposite ends of the deployment spectrum — CluedIn is Azure-native and cloud-first, Primentra is on-premise and SQL Server-first. CluedIn starts at $28,500+/year; Primentra is €7,500/year flat. If your data needs to stay on your own servers, that settles most of the comparison right there.
What is CluedIn?
CluedIn is a graph-based master data management platform built natively on Azure. Microsoft acquired a minority stake in the company, and CluedIn's integrations reflect that relationship: it connects natively with Microsoft Purview, Microsoft Fabric, Azure Data Factory, Azure Synapse, and 20+ other Azure services. The pitch is that your MDM layer sits at the center of your Azure data estate, connected to everything without custom plumbing.
The architecture is graph-native rather than relational. Entities and relationships are modeled as nodes and edges, which suits complex entity resolution and relationship traversal. CluedIn positions this as “agentic” MDM — the platform can infer relationships and surface data quality issues without requiring you to model everything upfront. For Azure-native organizations already heavily invested in Purview and Fabric, that matters.
CluedIn is a newer player. The platform has evolved quickly and their Microsoft co-sell relationship gives them strong enterprise reach, but they don't yet have the decade-long track record of the older enterprise MDM platforms. That's not a fatal flaw — it just means you should ask your account team for reference customers comparable to your scenario before committing.
What is Primentra?
Primentra is a self-hosted master data management platform that runs on your own SQL Server. There is no cloud dependency, no Azure subscription required, no data leaving your network. You install it on a SQL Server you already own, deploy in under a day, and your team is editing reference data the same afternoon. The model is relational: Models contain Entities, Entities have Attributes, domain attributes reference other entities as lookup values.
For teams migrating off Microsoft MDS, Primentra includes a built-in migration wizard. Run one SQL query against your existing MDS database, upload the JSON export, and your models and entities are imported in minutes. The founding price is €7,500 per year — unlimited users, all features, no per-seat costs. If you're evaluating several replacements at once, the 2026 MDS alternatives comparison covers the full landscape.
Side-by-side comparison
| Dimension | CluedIn | Primentra |
|---|---|---|
| Deployment | Azure cloud only | On-premise SQL Server |
| Pricing | $28,500+/year (volume-based) | €7,500/year flat (founding rate) |
| User seats | Volume/user-based pricing | Unlimited users included |
| Data architecture | Graph-native | Relational (SQL Server) |
| Microsoft integrations | Purview, Fabric, ADF, 24+ Azure services | SQL Server, SSIS, integration views for downstream systems |
| MDS migration wizard | Not available | Built-in — export one SQL query, import JSON |
| Time to value | Weeks to months (Azure setup, onboarding) | Under 1 day, self-service |
| Track record | Newer platform, growing customer base | Newer platform, growing customer base |
| Free trial | Contact sales | 60-day trial, no credit card |
Same ecosystem, different deployment philosophy
Here's the part that gets lost in most comparison articles: both tools are built for Microsoft teams. CluedIn sits inside the Azure data estate. Primentra sits on the SQL Server that teams have been running for years. The question is not which one is “better at Microsoft” — it's where your data infrastructure actually lives and where you want it to live.
For organizations that have moved their data platform into Azure — running Fabric, using Purview for cataloging, treating Azure as the system of record — CluedIn's native integrations are worth the investment. The 27+ Azure service connections are not checkbox features; they represent real plumbing that saves weeks of custom integration work. For organizations that manage reference data on SQL Server and have no intention of moving to Azure, CluedIn adds a cloud layer that solves a problem they do not have.
Azure dependency vs SQL Server independence
CluedIn's Azure dependency is worth understanding before you sign a contract. The platform is designed to run on Azure infrastructure. This is not a limitation you can configure around — it's core to how the product works. If your organization has data residency requirements, on-premise mandates, or air-gapped environments, CluedIn is not a fit.
Primentra runs on a SQL Server instance you own and control. Data never leaves your network. There's no Azure subscription to manage, no data residency concern to navigate. The trade-off is that you get none of CluedIn's native Azure integrations — but you do get SQL Server's full capability as your foundation: SSIS, linked servers, SQL Agent, the entire Windows authentication stack, and integration views that downstream systems can query directly.
The pricing gap
CluedIn's pricing starts at $28,500 per year and scales with volume, users, and feature tier. For enterprise organizations, that's a normal MDM budget line. For mid-market teams — a 200-person company managing cost centers and product hierarchies in SQL Server — it's a significant commitment before you factor in implementation time.
Primentra's founding rate is €7,500 per year, flat, unlimited users. That's not a teaser price that resets after a trial — it's the rate for teams that adopt early. The gap between the two at entry-level is roughly 3–4x depending on CluedIn tier and exchange rate. Over a three-year horizon, the difference is material enough to fund a meaningful portion of a data engineering headcount.
Setup and time to value
Getting CluedIn running means provisioning Azure infrastructure, configuring integrations, and going through an onboarding process. The platform's “zero upfront modeling” claim is accurate for data ingestion — you can connect a source and let CluedIn infer structure — but getting a production-ready MDM system configured takes time regardless.
Primentra is designed to deploy in under a day without consultants. Run the setup SQL script against your SQL Server, configure one IIS application, log in as an admin, and start building your model. The MDS migration wizard compresses the initial data loading step down to minutes if you're coming from MDS — the step-by-step process is documented in the MDS migration guide. Most teams are reviewing real data in their first afternoon.
Graph-native vs relational — what actually matters
CluedIn's graph architecture is a genuine technical differentiator for certain use cases. If you're managing entities with complex, non-hierarchical relationships — supplier networks, customer graphs, multi-hop lineage — a graph model handles this more naturally than relational tables with foreign keys.
For the majority of reference data management work — products, cost centers, locations, suppliers, employee hierarchies — the relational model is what your downstream systems speak anyway. Your ERP reads from SQL tables. Your Power BI report joins on entity codes. Your SSIS package writes to the staging schema. Primentra's SQL Server foundation means there is no translation layer between your master data and the systems that consume it.
Choose CluedIn if...
- Your organization is Azure-native and your data platform runs on Fabric, Synapse, or Purview — CluedIn's native integrations are a real advantage in this context
- You need entity resolution across disparate source systems with complex, non-hierarchical relationships where a graph model is a better fit than relational tables
- You have budget for $28,500+/year and an implementation timeline of weeks to months
- Your MDM strategy is inseparable from your cloud data governance strategy, and you want Purview cataloging and Fabric integration to be native rather than bolted on
Choose Primentra if...
- Your data stays on-premise and you have no intention of moving it to Azure — or you have data residency requirements that rule out cloud deployment
- You're running Microsoft MDS today and want a direct replacement that runs on the same SQL Server with a built-in migration path
- You want to be productive within the first day — no Azure provisioning, no professional services, no consultant onboarding
- You need a flat, predictable annual cost with unlimited users and no volume-based pricing surprises as your team or data grows
Verdict
Both are honest options for Microsoft data teams. They just serve different infrastructure realities. CluedIn is a strong platform for organizations that have committed to Azure as their data foundation and have the budget to match — the Purview and Fabric integrations alone save weeks of custom work for teams already in that ecosystem.
For teams running SQL Server on-premise — especially those coming off MDS — Primentra is the more natural fit. Same data layer, no cloud migration, a fraction of the cost, and running the same day you install it. The decision comes down to where your data lives and where you want it to live three years from now.
Frequently asked questions
Common questions about CluedIn and Primentra.
Is CluedIn a good option for on-premise teams?
CluedIn is built for Azure. Its integrations — Microsoft Purview, Fabric, Azure Data Factory — are core to how the platform operates. Teams that need data to stay on-premise on their own SQL Server instance will find CluedIn a poor fit. Primentra runs fully on-premise with no cloud dependency.
How does CluedIn pricing compare to Primentra?
CluedIn starts at $28,500+ per year, scaling with volume, users, and features. Primentra is €7,500 per year (founding rate), flat fee, unlimited users. The annual cost gap for mid-market teams is roughly 3–4x depending on CluedIn tier.
Does CluedIn replace Microsoft MDS?
CluedIn can serve as an MDS replacement for organizations moving to Azure infrastructure. It does not include a native MDS migration wizard. Primentra includes a built-in wizard that imports your existing MDS models, entities, and domain values in minutes — no consultants required.
What does "graph-native" mean in practice for MDM?
CluedIn models relationships between data entities as a graph — nodes and edges — rather than relational tables. This is useful for complex relationship traversal and entity resolution across disparate sources. For standard reference data management (cost centers, products, locations, suppliers), a relational model like Primentra's is simpler to query, maintain, and integrate with SQL-based downstream systems.
Can I try Primentra before committing?
Yes. Primentra offers a 60-day free trial with no credit card required. Everything is included — unlimited users, all features, full SQL Server deployment on your own infrastructure.
If your team runs SQL Server on-premise and needs a modern MDM replacement — without Azure, without consultants, without a six-figure contract — Primentra is worth an afternoon. Try it free for 60 days →
- No cloud migration — stays on your own SQL Server
- No professional services required — self-service from day one
- No credit card for the trial