SqlDBM Reviews & Product Details

Feature Requests delivered at lightning speed by one of the product support staffs I have worked with. The training is top notch and free via their Data Modeling Academy or via personal sessions with their Customer Experience Mangers and Support Staff, no more burning through contractual support minutes. They are there when you need them. The cloud-based model management is a huge plus compared to other tools that require you to spin-up a database to hold your data models off of your local drive. You get access to the tool on the cloud, set up a few controls like admins, and you are ready to model.

With SqlDBM, you won't spend a week commissioning servers, installing the tool and repository, writing custom macros and making the tool brittle like its competitors after doing things like automatic conversions, templates (naming or repeated fields), and other data modeling standards enforcements right "out of the box." What makes SqlDBM the best is a great product with monthly, seamless, cloud-based version releases; it's collaboration with Snowflake; its simplicity; and its incredible staff. Review collected by and hosted on G2.com.

SqlDBM is a newer data modeling tool born from physical data modeling stock, but they have done a tremendous job creating a logical modeling product; and with monthly releases, they will be perfect in no time. By the time my criticisms are published, they may not be valid anymore. I would like to see seamless integration between modeling layers where they are treated like separate files so that conversions like denormalizations and natural key to surrogate key mappings are preserved from CDM to LDM to PDM and back. SqlDBM is like 90% there already. Other tools were just as clunky as a remember. I'd like to complain more, but when I have an issue, I submit a feature request or open a support ticket, and they are on it immediately with a satisfactory conclusion in a couple days. None of the major competitors do this. Learning the tool can be tough, but they set you up to success, if you fail at it, you aren't trying. Ever try to hop right into the latest erwin release after a couple years away? The help is many releases old and hard to find online. 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.

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.