Best On-Premises Data Modeling Tools

Design and deploy sophisticated data models faster with AnalyticsCreator’s automated tools. The streamlined workflows, improve stakeholder communication and ensure adherence to best practices. Support various modeling techniques, including medallion, dimensional, data mart, data vault, and hybrid approaches, ensuring flexibility for any project. Generate accurate, high-quality code for platforms like Azure Synapse, Power BI, and Tableau. Engage stakeholders with clear, visual modeling tools and comprehensive documentation, fostering better collaboration and decision-making throughout the data modeling lifecycle.

ERD Lab is an online ER Diagram Tool that allows you to design your database visually. Import existing SQL or develop new database without writing a single line of code. Visualize your schemas to share & collaborate with your team. Export SQL or PDF/Image when done. All for FREE!

Oracle Analytics is a complete platform for every analytics user role. AI and ML are embedded throughout the platform to accelerate productivity and power better business decisions. Choose either Oracle Analytics Cloud, our cloud native service, or our on-premises solution, Oracle Analytics Server, both of which help you avoid compromising security and governance. Oracle Analytic addresses all needs of business users from data to decision. Oracle Analytics can help you solve your business problems with built in data preparation and enrichment, no-code machine learning and industry leading data visualization.

As of 2020, 170+ organizations from 44 industries in 31 countries use Prolaborate to take architecture information to the wider audience collaboratively for analysis and decision support. While Enterprise Architect has been the choice of architects and modelers across the globe for more than a decade now and boasts of around 1 Million registered users, Prolaborate is fast emerging as the indispensable tool for Sparx EA users. The goal of Prolaborate is to enable business stakeholders to make smarter decisions faster by making the right information available to them at the right time. Sparx Systems Prolaborate lets you 1. Simplify and Share information from your EA models with stakeholders. 2. Publish them in knowledge management tools like Confluence and SharePoint. 3. Collaborate with business and non-EA users through discussions and reviews. 4. Integrate with Jira and Azure DevOps. 5. Visualize model information through rich and dynamic charts and visualizations.

5X is an all-in-one data platform that provides everything you need to centralize, clean, model, and analyze your data. Designed to simplify data management, 5X offers seamless integration with over 500 data sources, ensuring uninterrupted data movement across all your systems with pre-built and custom connectors. The platform encompasses ingestion, warehousing, modeling, orchestration, and business intelligence, all rendered in an easy-to-use interface. 5X supports various data movements, including SaaS apps, databases, ERPs, and files, automatically and securely transferring data to data warehouses and lakes. With enterprise-grade security, 5X encrypts data at the source, identifying personally identifiable information and encrypting data at a column level. The platform is designed to reduce the total cost of ownership by 30% compared to building your own platform, enhancing productivity with a single interface to build end-to-end data pipelines.

We make BI & Big Data analytics work easier and faster. Our goal is to empower business users and make always-busy business and heavily loaded BI specialists less dependent on each other when solving data-driven business problems. If you have ever experienced a lack of data you needed, time to consuming report generation or long queue to your BI expert, consider Querona. Querona uses a built-in Big Data engine to handle growing data volumes. Repeatable queries can be cached or calculated in advance. Optimization needs less effort as Querona automatically suggests query improvements. Querona empowers business analysts and data scientists by putting self-service in their hands. They can easily discover and prototype data models, add new data sources, experiment with query optimization and dig in raw data. Less IT is needed. Now users can get live data no matter where it is stored. If databases are too busy to be queried live, Querona will cache the data.

IBM SPSS Modeler is a leading visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations worldwide use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets. IBM SPSS Modeler automatically transforms data into the best format for the most accurate predictive modeling. It now only takes a few clicks for you to analyze data, identify fixes, screen out fields and derive new attributes. Leverage IBM SPSS Modeler’s powerful graphics engine to bring your insights to life. The smart chart recommender finds the perfect chart for your data from among dozens of options, so you can share your insights quickly and easily using compelling visualizations.

ZinkML is a zero-code data science platform designed to address the challenges faced by organizations in leveraging data effectively. By providing a visual and intuitive interface, it eliminates the need for extensive coding expertise, making data science accessible to a broader range of users. ZinkML streamlines the entire data science lifecycle, from data ingestion and preparation to model building, deployment, and monitoring. Users can drag-and-drop components to create complex data pipelines, explore data visually, and build predictive models without writing a single line of code. The platform also offers automated feature engineering, model selection, and hyperparameter tuning, accelerating the model development process. Moreover, ZinkML provides robust collaboration features, enabling teams to work together seamlessly on data science projects. By democratizing data science, we empower companies to extract maximum value from their data and drive better decision-making.