SqlDBM
SqlDBM is a cloud-native SaaS data modeling platform that enables enterprise data teams to collaboratively design, document, and govern database schemas across major cloud data warehouses including Snowflake, Databricks, BigQuery, Redshift, and Azure Synapse.
- Company typePrivate
- Founded2017
- HeadquartersSan Diego, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
SqlDBM firmographics
Firmographics- Name
- SqlDBM
- Website
- https://sqldbm.com
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- SqlDBM is a cloud-native SaaS data modeling platform that enables enterprise data teams to collaboratively design, document, and govern database schemas across major cloud data warehouses including Snowflake, Databricks, BigQuery, Redshift, and Azure Synapse.
- Ownership category
- akta.pro rank
Where SqlDBM is headquartered
LocationHeadquarters
- HQ city
- San Diego
- HQ country
- United States
- HQ region
- North America
Markets served
SqlDBM business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- SaaS Subscription: Cloud-based subscription model with tiered plans (Enterprise, Enterprise Plus) providing platform access, collaboration features, integrations, and model governance capabilities. Annual and multi-year contract options available with dedicated Customer Success Manager pairing.
- Premium Support: Optional premium support packages with expedited SLAs available at additional cost for organizations requiring premium support levels.
- Professional Services: Custom training curriculums and specialized professional services packages available for organizations requiring specialized or custom training.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise plan with full platform access and governance features |
| Subscription | Annual | Enterprise Plus with enhanced security and compliance features |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels9 records
SqlDBM product offering
Product offeringCore offering
SqlDBM is a cloud-based SaaS data modeling platform that enables enterprise teams to collaboratively design, document, and manage database schemas across conceptual, logical, and physical layers. It offers native connectors for reverse and forward engineering with major cloud data warehouses (Snowflake, Databricks, BigQuery, Amazon Redshift, Azure Synapse, Microsoft Fabric), an AI Copilot for natural-language modeling, model governance tooling, Snowflake schema change monitoring, and integrations with dbt, Jira, Confluence, and Git repositories.
Product overview
SqlDBM is a cloud-based data modeling platform designed for enterprise teams, offering a unified platform-plus-modules architecture. The core SqlDBM Data Modeling Platform enables collaborative design across conceptual, logical, and physical layers with direct connections to major cloud data warehouses (Snowflake, Databricks, BigQuery, Amazon Redshift, Azure Synapse). Key modules include SqlDBM AI Copilot for natural language-powered modeling automation, Model Governance Suite for metadata management and documentation, Snowflake Schema Monitoring for change detection, and specialized integrations for dbt, Confluence, and Jira. The platform serves 400,000+ data teams globally and is recognized as a Snowflake Premier Partner and Google Cloud Partner.
Differentiator
Problem solved
Functional benefit
Brands
- SqlDBM+Snowflake: Native data modeling and integration for Snowflake Data Cloud
- SqlDBM+BigQuery
- SqlDBM+Amazon Redshift
- SqlDBM+Databricks
- SqlDBM+Azure Synapse
- SqlDBM+dbt
- SqlDBM+Confluence
- SqlDBM+Jira
- SqlDBM AI Copilot
- SqlDBM Model Governance
- Snowflake Schema Monitoring
Products and services
- SqlDBM Data Modeling Platform Cloud-based collaborative data modeling platform enabling enterprise teams to design, document, and manage data models across conceptual, logical, and physical layers without coding, with support for multiple database platforms, real-time collaboration, version control, and direct connections to live cloud databases.
- SqlDBM AI Copilot AI-powered assistant using natural language processing to automate data modeling tasks including generating tables, relationships, entity descriptions, SQL DDL scripts, alter scripts, dbt YAML, and Snowflake semantic YAML, and answering questions about lineage and dependencies.
- Model Governance Suite Extended governance and metadata module including governance project roles, custom fields, documentation pages, tag and metadata search, and HTML reports for end-users with searchable object details.
- Snowflake Schema Monitoring Monitoring service that periodically polls Snowflake databases and alerts designated recipients when DDL changes are detected, with dashboard for job administration, visual changelog timeline, and schema comparison features.
- SqlDBM + dbt Integration Integration module bridging relational data modeling with dbt transformational models, supporting dbt Manifest Import, YAML output generation in source and model format, metadata consistency, and dbt properties at object and column level.
- SqlDBM + Confluence Integration Integration enabling live, dynamic SqlDBM diagrams to be embedded directly in Atlassian Confluence pages, available for hosted and on-prem Confluence plans with configurable view modes and navigation.
- SqlDBM + Jira Integration Integration linking SqlDBM project revisions and comments with Atlassian Jira tickets for full traceability, with bidirectional navigation between revisions and Jira tickets including from diagram comments.
- SqlDBM for Snowflake Native data modeling solution for the Snowflake Data Cloud with native support for schemas, tables, views, file formats, functions, procedures, sequences, and tags, enabling reverse and forward engineering of Snowflake objects.
- SqlDBM for BigQuery Visual data modeling and schema design for Google BigQuery supporting datasets, partitioning and clustering keys, search indexes, views, and materialized views with direct connect via service account.
- SqlDBM for Amazon Redshift Cloud data modeling for Amazon Redshift supporting DistKeys, SortKeys, latest data types, unique constraints, primary and foreign keys, and Redshift Super data type.
- SqlDBM for Databricks Visual exploration and design for Databricks Lakehouse architecture supporting Bloom filter index, check constraints, table file formats, properties, and partitions with direct connection via Unity Catalog API.
- SqlDBM for Azure Synapse Modernizing relational modeling for Microsoft Azure Synapse with direct connect and native object support including constraints, distribution, indexes, and partitions, and also supporting Microsoft Fabric.
- SqlDBM REST API Enterprise-grade REST API for programmatic access to SqlDBM projects, including POST API for automated, system-driven project changes, DDL retrieval, dbt YAML retrieval, and integration with external systems, available to Enterprise users at developers.sqldbm.com.
Quantifiable outcome
- Trusted by 400,000+ data teams globally
- +2 more outcomes
Companies that use SqlDBM
Customer profileNamed customers18 records
Segments5 records
Ideal customer profiles2 records
SqlDBM technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration19 records
AI capability6 records
Feature12 records
SqlDBM partnerships and signals
Strategic signalPartnerships
16 partnerships are on record, tiered core and major.
- SnowflakecoreSnowflake Premier Partner and first online modeling tool to support Snowflake projects since 2019. Native support for Snowflake objects including views, functions, procedures, tags, and sequences. Over 300 Snowflake clients use SqlDBM. Platform enables native modification, track, reverse/forward engineer Snowflake objects, and display them on a diagram.
- Google CloudcoreGoogle Cloud Partner with native support for BigQuery and AlloyDB databases. SqlDBM supports BigQuery objects including datasets, partitioning and clustering keys, search indexes, views and materialized views. Direct connect available via service account key file.
- Microsoft AzurecoreData management partner listed on Azure Marketplace with support for Azure Synapse modeling and Microsoft Fabric. Extended support for views, functions, procedures, and virtual suggested relationships.
- DatabrickscoreDatabricks partner with native support for Lakehouse objects including Bloom filter index, check constraints, table file formats, properties, and partitions. Direct connection via Unity Catalog API.
- Amazon Web Services (AWS)coreSqlDBM server infrastructure is hosted on AWS. Support for Amazon Redshift with DistKeys, SortKeys, latest data types, and native object properties. AWS CodeCommit integration for version control.
- Atlassian (Confluence)majorConfluence integration allowing SqlDBM diagrams to be embedded directly in Confluence pages. Available for hosted and on-prem Confluence plans. Diagrams are interactive, dynamic, and always up-to-date.
- Atlassian (Jira)majorJira integration linking project revisions and comments with Jira tickets for full traceability. Users can jump from revision straight to Jira ticket and vice versa, including from diagram comments.
- dbt (Data Build Tool)majorDeep dbt integration with dbt Manifest Import, YAML output generation for sources and models, metadata consistency, and support for all dbt properties at object or column level. Git push for dbt YAML files.
- GitHubmajorVersion control DDL, create, and alter scripts directly in GitHub. SSO integration for secure access.
- GitLabmajorVersion control DDL, create, and alter scripts directly in GitLab.
- Azure DevOpsmajorVersion control DDL, create, and alter scripts directly in Azure DevOps. CI/CD integration for Snowflake DDL deployments.
- OktamajorSSO integration through Okta for secure access to SqlDBM platform.
- AnthropicmajorAI Copilot powered by Anthropic Claude Sonnet model accessed via API. SqlDBM uses managed third-party model and does not host its own AI models.
- World Wide Data Vault Conference (WWDVC)coreSqlDBM is a strong supporter of the Data Vault community, sponsor of WWDVC conference two years running, and the modeling tool of choice during official Data Vault courses.
- Kent GrazianomajorStrategic Advisor - The Data Warrior, Data Vault Master, recognized industry thought leader, Snowflake Data Cloud evangelist, Knight of the Oaktable, Oracle ACE Director Alumni.
- Gordon WongmajorStrategic Advisor with three decades of data experience specializing in strategic and tactical consulting in building data teams and cloud-based data warehouses, especially on Snowflake.
Scale indicators3 records
Recent moves6 records
Expansion highlights5 records
SqlDBM competitors and assessment
Company assessmentDirect peers
- erwin Data Modeler (Quest Software): erwin Data Modeler is one of the most widely deployed enterprise data modeling tools, supporting conceptual/logical/physical modeling with reverse and forward engineering. It competes head-to-head with SqlDBM for the same data architect and DBA buyer, particularly in legacy on-prem shops now migrating to cloud warehouses.
- IDERA ER/Studio: ER/Studio is a long-standing enterprise data modeling suite with strong database platform coverage and governance features. It targets the same data architecture personas as SqlDBM and is a primary competitor in enterprise RFPs for modeling and metadata management.
- SAP PowerDesigner: SAP PowerDesigner is an enterprise data modeling and metadata management platform used in large SAP-centric organizations. It overlaps directly with SqlDBM's enterprise data architecture and governance positioning.
- DbSchema: DbSchema is a visual database design and administration tool that supports reverse/forward engineering across many SQL and NoSQL databases. It is a direct competitor to SqlDBM, particularly for developers looking for offline-capable, multi-database modeling.
Broad incumbents
- Oracle SQL Developer Data Modeler: Oracle offers a free, downloadable data modeling tool tightly integrated with the Oracle database ecosystem. It competes with SqlDBM for Oracle users but does not extend as broadly to cloud-native Snowflake, Databricks, or BigQuery modeling.
- Alation: Alation is a leading enterprise data catalog with strong governance and collaboration features. While broader than SqlDBM, it competes in enterprise evaluations where data documentation, governance, and lineage are deciding factors alongside modeling.
Emerging players
- dbt Labs: dbt Labs provides the de facto standard for SQL-based data transformation, sitting adjacent to SqlDBM's modeling layer. SqlDBM integrates directly with dbt via YAML push/pull, but dbt's strong developer mindshare and capital make it a strategic competitor for the data engineer's modeling workflow.
- Hackolade: Hackolade specializes in schema modeling for NoSQL and polyglot data stores (MongoDB, Cassandra, DynamoDB, etc.). It is an emerging peer that overlaps with SqlDBM's broader multi-platform modeling narrative but leads in NoSQL-specific schema design.
- Atlan: Atlan is a modern data catalog and governance platform that increasingly includes lineage, documentation, and lightweight modeling features. It is an emerging competitor that overlaps with SqlDBM's Model Governance Suite for enterprise buyers evaluating unified metadata solutions.
- Datafold: Datafold focuses on data observability and column-level lineage, increasingly relevant as SqlDBM adds its own column-level lineage and CI/CD integrations. It is an emerging adjacent competitor in enterprise data engineering tooling.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
SqlDBM social profiles
Digital presenceSqlDBM compliance and trust
Trust signalCompliance2 records
SqlDBM financial estimates
Financial estimateRevenue estimate
Valuation estimate
SqlDBM leadership team
Management profileNumber of profiles
Profiles3 records
SqlDBM funding detail
Funding detailFunding overview
Funding rounds3 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
SqlDBM M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about SqlDBM
What does SqlDBM do?
SqlDBM is a cloud-based SaaS data modeling platform that enables enterprise teams to collaboratively design, document, and manage database schemas across conceptual, logical, and physical layers. It offers native connectors for reverse and forward engineering with major cloud data warehouses (Snowflake, Databricks, BigQuery, Amazon Redshift, Azure Synapse, Microsoft Fabric), an AI Copilot for natural-language modeling, model governance tooling, Snowflake schema change monitoring, and integrations with dbt, Jira, Confluence, and Git repositories.
Is SqlDBM a public or private company?
SqlDBM is a private company. It is classified as venture growth investor backed and is currently operating.
When was SqlDBM founded?
SqlDBM was founded in 2017. It employs 51 to 100 people.
Where is SqlDBM based?
SqlDBM is headquartered in San Diego, United States, in the North America region.
How does SqlDBM make money?
Three revenue lines are on record. SaaS Subscription is the primary driver. The others are premium Support and professional Services.
Who are SqlDBM's main competitors?
Direct peers on record are erwin Data Modeler (Quest Software), IDERA ER/Studio, SAP PowerDesigner and DbSchema. Broad incumbents are Oracle SQL Developer Data Modeler and Alation. Emerging players are dbt Labs, Hackolade, Atlan and Datafold.
Does SqlDBM have an API?
Yes. SqlDBM offers a REST API for Enterprise users enabling programmatic access to projects. The API supports automated, system-driven project changes via POST API. Features include getting DDL for specific objects, obtaining dbt-compatible YAML, and integration potential. API is available at developers.sqldbm.com. Developer documentation is at developers.sqldbm.com.