-

SqlDBM Joins Google Cloud Partner Network and Becomes a Launch Partner for Google Cloud’s AlloyDB for Postgres

SAN DIEGO--(BUSINESS WIRE)--SqlDBM today announced that it has successfully achieved Google Cloud Ready - AlloyDB designation for AlloyDB for PostgreSQL, Google Cloud’s newest fully managed PostgreSQL- compatible database service for most demanding enterprise database workloads.

Google Cloud Ready - AlloyDB is a new designation for the solutions of Google Cloud’s technology partners that integrate with AlloyDB. These partners have closely collaborated with Google Cloud to add support for AlloyDB into their solutions and tune their existing functionality for optimal outcomes. This designation recognizes the partner solutions that have met a core set of functional requirements and validated in collaboration with Google Cloud engineering teams.

By earning this designation, SqlDBM has proven their product has met a core set of functional and interoperability requirements when integrating with AlloyDB and refined documentation for ease of onboarding by our mutual customers. This designation enables customers to discover and have confidence that the SqlDBM products they use today work well with AlloyDB or save time on evaluating them, if not already using.

Being part of the program, SqlDBM gets more opportunities to collaborate closely with Google Cloud partner engineering and AlloyDB teams to develop joint product roadmaps.

SqlDBM has confirmed it will be investing further into the Google Cloud ecosystem and its clients - in Q2 SqlDBM plans to add a connector for Google BigQuery.

“We are excited to validate SqlDBM’s support for AlloyDB with the Google Cloud Ready - AlloyDB designation,” said Ritika Suri, Director, Technology Partnerships at Google Cloud. “Through our partnership, SqlDBM continues to strengthen its commitment to better data modeling practice and overall data stewardship.”

“We are honored to have earned the Google Cloud Ready - AlloyDB designation, which underscores our commitment to providing our customers with a seamless and efficient modeling experience on cloud-based data platforms,” said Serge Gershkovich, Product Success Lead at SqlDBM “We are committed to growing this partnership as we roll out Google Big Query support later this year.”

To learn more about SqlDBM’s expertise with AlloyDB, visit. To learn more about Google Cloud Ready - AlloyDB and its benefits, visit.

SqlDBM is the most advanced, cloud-native, database modeling platform for enterprise cloud data management. Using powerful data source connectivity and design features, modelers can view their entire database schema without writing a single line of code. SqlDBM supports leading cloud-based database providers like Snowflake, Databricks, Azure Synapse, and Amazon Redshift and many on-premise solutions like Postgres, MySQL and MS SQL Server.

Contacts

SqlDBM


Release Versions

Contacts

More News From SqlDBM

SqlDBM Announces MCP Server Release and Growing Databricks Partnership Live at Data + AI Summit 2025

SAN FRANCISCO--(BUSINESS WIRE)--SqlDBM, the leading cloud-native data modeling platform for the enterprise, today announces the release of its Model Context Protocol (MCP) Server live at Databricks Data + AI Summit 2025. This powerful component makes it easier for data teams to expose their structured data models and metadata in formats that large language models (LLMs) and generative AI tools can access. The company is committed to bringing organizations closer to governed and context-aware AI...

SqlDBM Unveils First All-in-One Relational and Transformational Modeling Platform, Following Investment from Headline

SAN FRANCISCO--(BUSINESS WIRE)--The addition of Transformational Modeling, Tx, allows data teams to simplify, automate, and collaborate on their end-to-end data modeling workflows....

SqlDBM Introduces Global Modeling Capabilities to Help Enterprises Improve Data Integrity

SAN DIEGO--(BUSINESS WIRE)--SqlDBM, the leading collaborative, cloud-based data modeling solution for the enterprise, today announced a series of new features that will support Global Modeling, a data modeling framework that enables organizations to unify cross functional teams in data modeling efforts. Now, organizations can improve data integrity with a holistic view of their enterprise-wide data structures, so that they can be consistent in how data is understood and consumed across teams. A...
Back to Newsroom