SqlDBM , a new generation online data modeling tool, now supports Azure Synapse Analytics as a part of its offering. SqlDBM was built from the ground up to seamlessly work with Snowflake, Redshift, SQL Server, MySQL & PostgreSQL. In April, this ERD tool released an upgrade that allows Azure Synapse Analytics users to design and manage databases, small and large, on the fly.
“ SqlDBM offers an effective way for generating and maintaining your database schemas on Azure Synapse ,” said Ajay Singh, Sr. Technical Product Manager at SqlDBM.
To create a data warehouse solution using the Synapse SQL pool feature of Azure Synapse, there is currently a variety of industry-leading tools to choose from. SqlDBM now joins that outstanding list of Microsoft partner companies as a cloud modeling tool that helps organizations save time & money, while increasing efficiency when working with data models.
Visit here to find out more about how SqlDBM helps organizations manage their data warehouse in a modern, collaborative environment supported by an intuitive data modeling interface.
SqlDBM is a cloud-based solution that supports modern database/data warehouse solutions and allows users to edit their existing data warehouse, or even design a new one from scratch – all without writing a single line of code. SqlDBM is currently chosen as a data modeling solution by more than 100K users in more than 200K countries worldwide. This tool is seen as a cost-effective solution that is especially attractive because of its agile functionality, simplicity of use, collaborative environment. SqlDBM was founded in 2017 and is privately owned, with headquarters in Carlsbad, California. Contact SqlDBM directly with any questions or to schedule a demo at email@example.com.
About Azure Synapse:
Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience toingest, prepare, manage, and serve data for immediate BI and machine learning needs. Visit their official website to learn more.