Quest Data Modeler
Quest Data Modeler: A collaboration-focused modeler for teams designing and governing modern data platforms. Ranked #15 of 34 in Database Design Tools by our editors (7.9/10); pricing: Pricing on request; best for enterprise teams modeling modern data platforms.
At a glance
- Editor score7.9 / 10
- PricingPricing on request
- Best forEnterprise teams modeling modern data platforms
- Free planNo
- Reverse engineeringYes
- Facts checked20 Sep 2026
Where it wins
- Supports conceptual, logical, and physical data modeling
- Combines collaboration, version history, comparison, and merge
- Connects with dbt, Git, REST APIs, and modern data platforms
Where it doesn't
- Pricing is handled through sales and there is no free plan
- Deployment is web-based rather than desktop-based
- Database support centers on six listed platforms
Our verdict on Quest Data Modeler
Quest Data Modeler is a cloud-native web platform for designing, managing, and governing conceptual, logical, and physical data models. It is aimed at architects, data engineers, analysts, stewards, and business stakeholders working across cloud-first or hybrid environments. Browser-based multi-user editing, threaded discussions, and model history make it suited to teams that need shared modeling work rather than isolated desktop diagrams.
Its strongest fit is a modern data-stack workflow. The platform supports forward engineering, reverse engineering, schema generation, SQL script export, and dbt-compatible YAML export. Integrations include dbt, Git, GitHub, REST APIs, the Quest Trusted Data Management Platform, Snowflake, Databricks, Microsoft Fabric, PostgreSQL, and Google BigQuery. AI-assisted model generation and refactoring add another workflow option, while comparison and merge features help teams manage model changes over time. The supported database list covers Snowflake, Databricks, Microsoft Fabric Warehouse, Microsoft Fabric Lakehouse, PostgreSQL 16, and Google BigQuery.
Pricing is handled through sales, and there is no free plan. That structure makes the product more appropriate for organizations evaluating a broader modeling and governance platform than for individuals seeking a low-cost diagramming tool. Teams should choose Quest Data Modeler when multi-level modeling, browser collaboration, engineering workflows, version control, and modern platform integrations are central requirements. It is less suitable for buyers who need desktop deployment, a free entry tier, or a broader database list than the supported platforms described above.
Questions about Quest Data Modeler
What does Quest Data Modeler run on? Web. It runs in the cloud and as a browser extension.
What does Quest Data Modeler integrate with? 10 integrations, including dbt, Git, GitHub, REST APIs and Quest Trusted Data Management Platform.
Who is Quest Data Modeler built for? Mid-market companies and enterprises (our editorial estimate).
Your product? Our editors can test Quest Data Modeler in depth and publish a review, labelled as paid · from $149/mo →
Quest Data Modeler pricing
Quest Data Modeler fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Reverse engineering | Yes |
| Forward engineering | Yes |
| SQL export | Yes |
| Supported databases | Snowflake, Databricks, Microsoft Fabric Warehouse, Microsoft Fabric Lakehouse, PostgreSQL 16, Google BigQuery |
| Team collaboration | Yes |
| Version history | Yes |
| Deployment | Web |
| Deployment | Cloud, Browser extension |
| Platforms | Web |
| Compliance & security | SSO/SAML |
| Support | Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 10 integrations: dbt, Git, GitHub, REST APIs, Quest Trusted Data Management Platform, Snowflake … |
| Pricing | Pricing on request |
| Website | quest.com |
| Facts checked | 20 Sep 2026 |
Quest Data Modeler integrations
Quest Data Modeler lists 10 integrations on its own site.
- dbt
- Git
- GitHub
- REST APIs
- Quest Trusted Data Management Platform
- Snowflake
- Databricks
- Microsoft Fabric
- PostgreSQL
- Google BigQuery
Alternatives to Quest Data Modeler
- DbSchemaA broad cross-platform modeler for database design, migration, documentation, and review.9.4
- SqlDBMA broad modeling workspace for teams aligning schemas, warehouses, lineage, and documentation.9.2
- Hackolade StudioA broad modeling workspace for teams managing complex, multi-model data architecture.9.1
See all Quest Data Modeler alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026
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