Best Data Modeling Tools for Amazon Web Services (AWS)

Domo puts data to work for everyone so they can multiply their impact on the business. Underpinned by a secure data foundation, our cloud-native data experience platform makes data visible and actionable with user-friendly dashboards and apps. Domo helps companies optimize critical business processes at scale and in record time to spark bold curiosity that powers exponential business results.

Lucidchart is an online diagram tool that allows you to create and share professional diagrams. We support all aspects of communication and collaboration, from system design to brainstorming to project management. Lucidchart is loved by millions.

Navicat Data Modeller is a powerful, cost-effective database design tool that helps you create high-quality conceptual and logical data models. It can be used to create database structures, reverse/forward engineer processes, import models directly from ODBC data sources, create complex SQL/DDL, and print models to files. It makes it easy to create complex entity relationship models. You can also generate script SQL in just one click. Navicat Data Modeler supports many database systems including MySQL, MariaDB and Oracle, SQL Servers, PostgreSQL and SQLite. Professional object designers are available for Tables or Views. They can help you create, modify, and design models. You'll always know what you are doing, even if you don't need to write complex SQL. Navicat Data Modeler also supports three standard notations: Crow's Foot (IDEF1x), UML (Unified Modeling Language) and UML.

The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.

ZinkML is an open-source data science platform that does not require any coding. It was designed to help organizations leverage data more effectively. Its visual and intuitive interface eliminates the need for extensive programming expertise, making data sciences accessible to a wider range of users. ZinkML streamlines data science from data ingestion, model building, deployment and monitoring. Users can drag and drop components to create complex pipelines, explore the data visually, or build predictive models, all without writing a line of code. The platform offers automated model selection, feature engineering and hyperparameter optimization, which accelerates the model development process. ZinkML also offers robust collaboration features that allow teams to work seamlessly together on data science projects. By democratizing the data science, we empower businesses to get maximum value out of their data and make better decisions.