It’s a handy way to get something down quickly, even for someone lacking access to high-powered software. It’s a free, intuitive, browser-based flowchart builder in which users can drag and drop entity shapes (including the ellipses and parallelograms common to data models) onto a canvas, then join them with connector lines. Think of Draw.io as the bridge between pen and paper or whiteboarding to something a little more formalized. With the help of three experts - Vovchenko Ajay Gupta, former manager of data architecture at Appnovation and Mang-Git Ng, founder and CEO of Anvil - we compiled a list of 20 data modeling tools you should know.Ģ0 Top Data Modeling Tools to Know 1. “You have to keep in mind that, if you’re connecting different solutions to your databases, that means you might be opening up your databases.”
“It’s a question of the right tools for the right situation,” Vovchenko, former director of business intelligence at DoorDash, told Built In. Marta Vovchenko would say it’s contextual. The question of what data modeling tools to consider can be challenging though.
Finding the right one is essential to improving software development, analytics and business intelligence processes and documentation. Data modeling tools help organizations understand how their data can be grouped and organized - and how it relates to larger business initiatives.
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