Technology Partner · erwin by Quest
The Quest Data Management Platform offers a complete ecosystem for data modeling, metadata management, data governance and database development — fully aligned with the DAMA DMBoK framework. cimt implements and manages.
erwin has been the industry standard for enterprise data modeling for more than three decades. Since the acquisition by Quest Software it has grown into the Quest Data Management Platform — an integrated ecosystem that combines data modeling, metadata management, data governance and database development. Recognised by BARC as a Data Intelligence Leader and in the Gartner Magic Quadrant for Metadata Management. cimt positions the platform within the DAMA DMBoK framework: each Quest product addresses specific knowledge areas, so your organisation gets a structured, proven approach rather than disjointed tools.
DAMA DMBoK alignment
Each product in the portfolio maps to one or more DAMA knowledge areas — a structured way to build your data management programme.
| DAMA knowledge area | Quest product | Core function |
|---|---|---|
| Data Modeling & Design | erwin Data Modeler | Conceptual, logical and physical modelling with forward / reverse engineering |
| Metadata Management | erwin Data Intelligence | Automated data catalog, lineage and business glossary |
| Data Governance | erwin Data Intelligence | Policy management, data stewardship, compliance workflows, AI model certification |
| Data Architecture | erwin Data Modeler + Data Intelligence | Enterprise architecture linked to metadata and governance |
| Data Storage & Operations | Toad | Database development, management and performance tuning for Oracle, SQL Server and more |
The portfolio
Each product works standalone — but they reinforce each other when implemented as an ecosystem.
The industry standard for data modeling
Conceptual, logical and physical modelling. Three editions: Standard, Workgroup, Navigator.
For: Data architects, modellers, DBAs
View productData catalog, lineage and governance
Automatic catalog, lineage, business glossary and governance workflows. Includes erwinAI — a GenAI governance assistant.
For: Data stewards, governance teams, CDOs
View productDatabase development and management
Toad for Oracle, SQL Server and Data Point. Fast to deploy, AI-enabled with GitHub Copilot integration.
For: DBAs, developers, data engineers
View producterwin in your organisation
In a first conversation we look at where in your DAMA knowledge areas Quest delivers the most value — and how it integrates with Qlik / Snowflake and your existing stack.
Frequently asked
erwin Data Modeler is the modelling tool for data architects: design conceptual, logical and physical data models, forward/reverse engineering, DDL generation. erwin Data Intelligence is the governance platform: automatic data catalog, lineage, business glossary, stewardship workflows. They reinforce each other because models in Data Modeler appear automatically in Data Intelligence for governance — no manual synchronisation.
Depends on your maturity and goals. Starting with data modelling discipline? Data Modeler is enough. Building a governance programme? Data Intelligence is the core. Most enterprise organisations deploy them together for one cohesive data management practice — but we also implement standalone.
All three are enterprise-grade data catalog / governance platforms. erwin stands out through integration with erwin Data Modeler (seamless model-to-governance flow), erwinAI (GenAI assistant) and pricing that is often favourable for the mid-market. Collibra is larger in market share; Alation is stronger in self-service search. cimt gives honest per-case advice — we are not vendor locked in.
Yes, native integrations. Models in erwin Data Modeler generate DDL for Snowflake. erwin Data Intelligence scans Snowflake schemas automatically into the catalog and lineage. For Qlik there is catalog integration so Qlik apps appear in the lineage. cimt delivers these integrations end-to-end.
