Best Free Data Modeling Tools of 2025 - Page 2

Montara enables BI Teams and Data Analysts to model and transform data using SQL alone, easily and seamlessly, and enjoy benefits such a modular code, CI/CD and versioning, automated testing and documentation. With Montara, analysts are able to quickly understand the impact of changes in models on analysis, reports, and dashboards. Report-level lineage is supported, as well as support for 3rd-party visualization tools like Tableau and Looker. BI teams can also perform ad hoc analysis, create dashboards and reports directly on Montara.

ExoCoding, an online platform for code generation, empowers software developers by enabling them to create better software faster. It uses AI-powered assistants that are based on models to generate boilerplate codes and streamline repetitive tasks. Developers can create applications that contain modules for Database Management, Logic Building and Interface Design. There are more features, such as sharing prototypes, task-planning, and a marketplace that offers pre-built templates, which enhance the developer experience. After generating the code (backend or frontend), it's business as usual. The same IDE, and other dev tool are used.

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.