SqlDBM is a SAAS tool, the only one available for the Google BigQuery platform. It's easily accessible, quite intuitive in navigation, offers collaborative work through branching, provides versioning, which allows to step back and compare versions. Diagrams can be saved into a visual document; the model can be exported into Excel document to populate descriptive information and load it back into the model. Governance features allow to create labels on column and table level. After a year of use, we are still discovering and learning, as there is a wealth of functionality.

Getting started with SqlDBM was easy with the support staff that is both knowledgeable and responsive. The vendor is flexible and accommodating, aiming at your success with the tool. There is abundance of easily findable documentation - written and video recordings. We started with reverse-engineering of our datasets into a comprehensive model, and from that point, the tool is being used daily by multiple development teams to design new tables, get them reviewed and approved by both business and IT. Review collected by and hosted on G2.com.

The tool is pricy. It may be challenging to justify the cost.

Some BigQuery features are still not fully supported (struct arrays), but with frequent releases, we expect it to be resolved soon. Review collected by and hosted on G2.com.

Its a very light, easy to learn and easy to use tool. Its an elegant low cost modelling solution that works for solution and organization of all scales. SQLDBM support is simply awesome, in terms of timeliness and responsiveness. SQLDBM get easily integrated with GIT, DBT and any tool that can ingest REST API output. Review collected by and hosted on G2.com.

We should have feature to add conceptual model in sqlbdm. Review collected by and hosted on G2.com.

This software makes it easy to go from idea to structured, governed data product (without the chaos of legacy tools). It’s cloud-native, clean, understands SQL syntax and integrates with everything. Cross-functional collaboration is perfect: data engineers, analysts, and business users can all work together on the same platform (with shared visibility into how data is structured and why). Review collected by and hosted on G2.com.

No major issues. More layout options when exporting diagrams would be nice for executive presentations, but that’s more of a nice-to-have than a need. Review collected by and hosted on G2.com.

SqlDBM is a great tool. The best one of data modelers for Snowflake on the market. I think they found a way to make the tedious work of modeling databases easy, without sacrificing on the functionality. That is a golden ratio in software. The interface is user-friendly, collaboration with 3rd party contractors is seamless, and the fact that this is a cloud software is a huge plus. I always recommend them Review collected by and hosted on G2.com.

Nothing to dislike really, it's a great product Review collected by and hosted on G2.com.

It’s easy to use, and there’s nothing to install or manage. Review collected by and hosted on G2.com.

Nothing really stands out to me as an issue or a concern. Review collected by and hosted on G2.com.

Ease of use

Customer support

Ease of integration Review collected by and hosted on G2.com.

Nothing that stands out so far, with company scaling, would like to see their vision evolving and operations scaling like it is today. Review collected by and hosted on G2.com.

What I really appreciate about SqlDBM is how closely it integrates with Snowflake, it fits seamlessly into the way I approach modern data and analytics projects. Since I actively push Snowflake as our core data platform, it’s been great to see how quickly SqlDBM supports new Snowflake features. It gives me confidence that both tools are evolving in sync and designed to work well together.

Another major advantage is the dbt integration. Being able to create data models and ERDs in SqlDBM and then export dbt-ready YAML files has made handoffs between modelers and engineers much smoother. It’s eliminated a lot of manual steps and helped us build a much cleaner, end-to-end workflow—from design through to production. Review collected by and hosted on G2.com.

Integrations with data catalog and tools would be nice but I know they are working on it, giving me ease of mind. Review collected by and hosted on G2.com.

Online, collaborative, super intuitive. I am able to visualize my Databricks schema in a matter of a few clicks, understand, find bottlenecks, document and communicate with my peers and cherry on top all my changes are version-controlled. Review collected by and hosted on G2.com.

It is definitely an investment, so you need to have a team and a reason to use it. Not for individual use. But in a collaborative enterprise data environment - this is a lifesaver. Review collected by and hosted on G2.com.