Why SqlDBM?

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Strategic advisors

Kent Graziano

Kent Graziano

The Data Warrior, Strategic Advisor, Data Vault Master, Author, Speaker, and Tae Kwon Do Grandmaster

Gordon Wong

Gordon Wong

Leading organizations through analytics transformations, preference for social missions, healthcare, energy, education, and civic engagement

SAP PowerDesigner Alternative

The enterprise-ready replacement, built for cloud data platforms.

SAP PowerDesigner is reaching end of life — here’s the enterprise-ready replacement

SqlDBM functions as a cloud-native data modeling platform purpose-built for Snowflake, Databricks, dbt, and contemporary DevOps workflows — designed to replace PowerDesigner while maintaining governance and architectural rigor.

Why leading enterprises are moving to SqlDBM

Platform designed for contemporary data teams requiring capabilities beyond legacy desktop tool limitations.

Designed for cloud data platforms

PowerDesigner was built for on-premise infrastructure. SqlDBM was purpose-built for data & AI clouds, with native connectors for Snowflake, Databricks, AWS Redshift, Google BigQuery, and dbt — enabling agile modeling, rapid iteration, and smooth handoffs across engineering and analytics teams.

Built around the data model

Whereas competing platforms treat data modeling as secondary functionality, SqlDBM centers on it — designed by data modelers, for data modelers, optimized for Snowflake, Databricks, and modern cloud data systems.

Web-based business value

PowerDesigner output is limited to desktop or static exports. SqlDBM makes governed data models accessible organization-wide through a web browser, enabling broader participation.

Enterprise-class architecture

Adaptable licensing tailored to enterprise team structures with governance & version control embedded into the product. Metadata-only platform: secure, non-invasive, compliant.

Native DevOps integration

Seamless integration with GitHub, GitLab, Bitbucket, Azure DevOps, Jira, and Confluence. Automatic dbt YAML generation and REST API for custom integrations.

Customer-driven innovation

Monthly product updates with a customer-driven roadmap. Unlike vendor-gated legacy solutions, SqlDBM evolves based on real enterprise needs and feedback.

SqlDBM vs. SAP PowerDesigner: a strategic comparison

See how SqlDBM’s modern, cloud-native approach outperforms legacy desktop solutions.

FeatureSqlDBMSAP PowerDesigner
Cloud-native architectureFully cloud-native (SaaS)Legacy desktop application
Snowflake integrationNative — Snowflake Premier PartnerPartial or third-party
Databricks integrationNativePartial or third-party
DevOps integrationsGitHub, GitLab, Bitbucket, Azure DevOps, Jira, ConfluenceNot available
REST APIFull REST APINot available
iFrame embeddingAvailableNot available
dbt compatibilityAutomatic YAML generationNot available
Collaboration & governanceRole-based access, version controlLimited
Release cadenceMonthly product updatesLimited
Product responsivenessCustomer-driven roadmapVendor-gated
Metadata catalog integrationAtlan, Collibra, Confluence, InformaticaLimited

SqlDBM has become the backbone of our enterprise data warehouse by giving us a governed, documented design across Snowflake and surrounding databases. We now have a data model that we can trust and that scales with our business. When we launched a new business line, we extended our core model instead of starting from scratch, saving significant time and effort.

Head of Data Engineering, Insurance

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