In VC, it’s not often that large, blue-chip customers shout from the rooftops about a 10x better product, a step-change in efficiency, or a steep improvement in cost. But when they do, we work incredibly quickly to support those founders - one of the many reasons why we led SqlDBM’s latest round of funding.
It’s no secret that more enterprises are shifting data to the cloud; we can observe that trend in the rise and scale of cloud data warehouses (CDWs). Products such as Snowflake, Google BigQuery, Azure Synapse, Amazon Redshift, and Databricks now deliver scalable, efficient, and secured storage to hundreds of thousands of customers globally. As these products have proliferated, their performance has simultaneously experienced a meaningful improvement by introducing super-charged abilities to rapidly query across far more complex data footprints.
With increasingly complex footprints, however, the need for a cloud-native and user-friendly data modeling tool has never been greater, especially as less-technical users now touch the data warehouse.
While not often the most discussed, data modeling is the incredibly important process of documenting a complex software system design as an easily understood diagram, using text and symbols to represent the way data needs to flow. The diagram can be used as a blueprint for the construction of new software or for re-engineering a legacy application. Modeling is more critical than it’s ever been. More elaborate data architectures place an emphasis on ensuring processes, entities, relationships, and data flows have all been identified - from high-level relationships down to application- and database-specific implementation.
Source: SqlDBM
Over the last two years, we have worked to identify and map the highest-quality pieces of software that serve data teams to cut through the oversupply of tooling. Through that process, we surfaced SqlDBM and their incredibly talented team. After more than a year of watching them continually deliver products that enterprises need, we are proud to lead the company’s most recent fundraising round.
SqlDBM offers an easy, convenient way to design databases for Snowflake and other notable CDWs from absolutely anywhere on any browser. Users can design and manage both large and small databases and data models on the fly, all while incorporating necessary database rules and objects, such as database keys, schemas, indexes, column constraints, and relationships.
The SqlDBM team has impressed us with their delivery of several new products and features, including Schema Monitoring, Data Governance, and Global Modeling. Today, the business reveals its next chapter: a powerful Transformational Modeling product that will meaningfully improve customer data workflows. When paired with the existing market-leading modeling solution, this product will be simple but powerfully intuitive, as a data professional's natural workflow is to design a complex data architecture then follow with data cleanup and data reorganization. Customers who are unhappy with current solutions or cobbled workflows can experience meaningful ROI by utilizing a platform like that of SqlDBM, which verticalizes these steps in the value chain and gives users a single place to manage both data architecture and transformation.
Source: SqlDBM
After speaking with customers, it became abundantly clear to us that SqlDBM owns its product class. Today, the Company serves 400,000+ users who span a wide range of industries, including retail, food production, pharmaceuticals, government, software, agriculture, restaurants, biotechnology, and telecommunications. Notable enterprise customers include Docusign, SurveyMonkey, DirecTV, VirginPulse, Jacuzzi, and Sophos.
Congratulations to the SqlDBM team on building a truly unique product and announcing such fantastic momentum. Onward!