DrawSQL
DBDiagram.io
Azimutt
MySQL Workbench
DbSchema
PopSQL
ChartDB
LucidChart
Upsolver
Minitab Connect
Kylo
Zaloni Data Platform
IRI Voracity
Mozart Data
Lyftrondata
Microsoft Azure Purview
DrawSQL is a simple, beautiful database diagram editor for developers to ๐ง create, ๐ฌ collaborate and ๐ visualize their entity relationship diagrams.
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Based on our record, DrawSQL seems to be a lot more popular than Upsolver. While we know about 12 links to DrawSQL, we've tracked only 1 mention of Upsolver. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
With this, I went for designing the db. I went to http://drawsql.app/ and created my first draft. Then exported the DDL and did a bit of back and forth with AI. This is the final draft of the database:. - Source: dev.to / 8 months ago
So I started designing the DB using this cool tool. The project has 2 tables, users and categories . The user can create many categories as he wants so the first approach I took was creating a third table, a union table to store user_id and category_id. With this solution the users are able to create x numbers of categories and we can see assign the category to the user. - Source: dev.to / over 1 year ago
Once you have generated the SQL code, you can convert it into a relational schema (the graphical table model) using DrawSQL. This tool offers:. - Source: dev.to / over 1 year ago
DrawSQL makes it easy for teams to collaborate on creating and maintaining schema diagrams. With a single source of truth, there's no need for manually syncing diagram files between different developers and offline tools anymore. Source: about 3 years ago
To be honest, since you are just getting started, I think you should reconsider simplifying this app to begin with. Built something easier and get some more experience before jumping in the ocean. Maybe start by focusing only on the parent company and sub-companies. However, I strongly recommend you to try and make a diagram of your database with relations and columns as it can you a lot of time. I personally use... Source: about 3 years ago
Most of the pains of using query engines over object storage are in the ongoing management of files (partitioning, compression, merging many small files into fewer larger files) Cloud data lakes are tremendously valuable when it comes to exploratory and ad-hoc data analysis. If you really require sub-second queries on structured data, you're better off with a data warehouse. I'm not totally clear on your use... Source: almost 5 years ago
DBDiagram.io - Free database diagrams designer for analysts & developers ๐
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