Best Data Modeling Tools
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Compare the Top Data Modeling Tools as of October 2026
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What are Data Modeling Tools?
Data modeling tools are software tools that help organizations design, visualize, and manage data structures, relationships, and flows within databases and data systems. These tools enable data architects and engineers to create conceptual, logical, and physical data models that ensure data is organized in a way that is efficient, scalable, and aligned with business needs. Data modeling tools also provide features for defining data attributes, establishing relationships between entities, and ensuring data integrity through constraints. By automating aspects of the design and validation process, these tools help prevent errors and inconsistencies in database structures. They are essential for businesses that need to manage complex datasets and maintain data consistency across multiple platforms. Compare and read user reviews of the best Data Modeling tools currently available using the table below. This list is updated regularly.
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AnalyticsCreator
AnalyticsCreator
AnalyticsCreator provides model-driven design for data warehouses and data products across the Microsoft data stack. Teams can define dimensional, 3NF and hybrid models together with relationships, transformations, historisation rules and dependencies. The approved model then drives generation of native SQL, pipelines, documentation, semantic models and deployment artefacts, keeping design and implementation aligned as the project changes. -
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Databricks
Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker. -
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FrameworX
Tatsoft
Tatsoft's FrameworX is a complete SCADA and IIoT platform for edge-to-enterprise industrial applications. It unifies operations, data, and AI under one scalable, .NET-based architecture. FrameworX includes AI Designer, built on the Model Context Protocol (MCP). Three MCP servers cover design, operations and runtime, plus an in-process AI agent spine, all released and supported today. AI works directly inside the Designer IDE in real time, configuring tags, alarms, historian, devices, displays, and scripts in one session, and engineers approve every step. Works with any MCP-compatible AI client, including Claude. The platform includes real-time data modeling, historian, alarms, reports, audit trails, scripting in C#, VB.NET, JavaScript, and Python, plus 100+ native drivers for PLCs, DCS, OPC, and MQTT. Deploy anywhere with zero client installs and full web, mobile, and desktop access. 100+ connectors included at no charge.Starting Price: $750 -
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Domo
Domo
Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives. Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI. Domo works with cloud data platforms including Snowflake, BigQuery, and Databricks to turn governed data into AI agents, apps, workflows, dashboards, and analytics. Its data foundation, activation, and distribution layers help teams build and deliver intelligence where work happens, with governance, security, and access controls across data and AI. -
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Looker
Google
Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation. Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databases—to get real results, in real time. -
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Lucidchart
Lucid Software
Lucidchart is an advanced diagramming tool designed to help businesses and teams optimize their processes, systems, and workflows with intelligent, data-driven diagrams. The platform combines powerful AI features, such as AI-generated diagrams, data linking, and real-time collaboration, to make visualizing complex systems and architectures faster and more efficient. Lucidchart supports multiple use cases, including process maps, flowcharts, technical diagrams, organizational charts, and systems planning. Its seamless integrations with popular apps like Jira, Confluence, Slack, and Teams allow for enhanced collaboration, enabling teams to align on priorities and act on insights quickly. Lucidchart is the perfect tool for anyone looking to create professional diagrams in less time, while fostering better decision-making and innovation.Starting Price: $7.95/month/user -
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DBeaver Community
DBeaver Corp.
DBeaver Community is a free, open-source database management tool recommended for personal projects. Manage and explore SQL databases like MySQL, MariaDB, PostgreSQL, SQLite, Apache Family, and more. Connect to popular SQL databases (PostgreSQL, MySQL, SQL Server, Oracle, SQLite, etc.) SQL editor to create queries with syntax highlighting and autocompletion AI assistant in SQL for building queries through natural language SSL/TLS support for encrypted connections SSH tunneling for secure remote access Proxy configuration to work with databases behind a corporate firewall Session Manager to terminate, disconnect, view and search for sessions Lock Manager to monitor and manage database locks Entity Relationship Diagrams to interactively explore and visualize database structure Query manager to view all executed queries, including execution time, duration, affected rows, and errors. Data editor to view, edit, and filter dataStarting Price: $11/month -
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JMP Statistical Software
JMP Statistical Discovery
JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect.Starting Price: $1320/year/user -
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ER/Studio Data Architect
ER/Studio
ER/Studio Data Architect is a powerful data modeling solution that helps organizations design, document, and optimize data structures across modern platforms. It enables architects and database professionals to build conceptual, logical, and physical data models that connect business definitions with technical implementation, ensuring consistent meaning and reliable analytics. The platform supports forward and reverse engineering, allowing teams to generate databases from models or reverse engineer existing systems for documentation and improvement. Schema compare and merge tools simplify change management, while visual diagrams make complex data structures easier to understand. ER/Studio supports platforms including SQL Server, Oracle, PostgreSQL, Snowflake, Databricks, and JSON architectures. Automation tools, impact analysis, and the AI-powered ERbert modeling assistant help accelerate model creation while maintaining structured, scalable data architecture.Starting Price: $2,687 per user -
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ER/Studio Enterprise Edition
ER/Studio
ER/Studio is an enterprise data modeling and architecture platform that enables organizations to design, manage, and govern data assets across complex, distributed environments, including data warehouses, lakehouses, data mesh frameworks, and data vault architectures. It connects business requirements to technical implementation through conceptual, logical, and physical models, providing clarity from strategy through deployment. By establishing a consistent modeling foundation, ER/Studio creates a reliable, shared view of enterprise data that supports analytics, AI initiatives, modernization, compliance, and operational systems. Design data models and keep teams aligned with ER/Studio’s multi-user shared repository and web-based collaboration portal, Team Server. The repository supports version control, role-based access, parallel development, and change tracking so modelers can work simultaneously without conflict, preserving integrity and full history.Starting Price: $2,687 per user -
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Oracle Analytics Cloud
Oracle
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.Starting Price: $16 User Per Month - Oracle An -
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Rapidminer
Siemens
Rapidminer is an enterprise AI and analytics solution from Siemens that helps organizations unify data preparation, machine learning, knowledge graphs, generative AI, and agentic AI. It connects siloed data with business context so companies can build, govern, and scale trusted AI solutions. The platform helps organizations uncover hidden insights, modernize existing systems, and automate analytics workflows. Rapidminer can activate dark data from reports and PDFs, support existing SAS language code, and resolve complex questions through unified knowledge graphs. It also provides visual drag-and-drop tools for explainable AI, AutoML, self-service data preparation, and real-time data visualization. With capabilities for AI agents, semantic data modeling, and enterprise automation, Rapidminer helps businesses turn complex data into strategic decisions.Starting Price: Free -
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Sparx Prolaborate
Sparx Systems
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.Starting Price: $20.00/month/user -
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MyDataModels TADA
MyDataModels
Deploy best-in-class predictive analytics models TADA by MyDataModels helps professionals use their Small Data to enhance their business with a light, easy-to-set-up tool. TADA provides a predictive modeling solution leading to fast and usable results. Shift from days to a few hours into building ad hoc effective models with our 40% reduced time automated data preparation. Get outcomes from your data without programming or machine learning skills. Optimize your time with explainable and understandable models made of easy-to-read formulas. Turn your data into insights in a snap on any platform and create effective automated models. TADA removes the complexity of building predictive models by automating the generative machine learning process – data in, model out. Build and run machine learning models on any devices and platforms through our powerful web-based pre-processing features.Starting Price: $5347.46 per year -
15
Kubit
Kubit
Your data, your insights—no third-party ownership or black-box analytics. Kubit is the leading Customer Journey Analytics platform for enterprises, enabling self-service insights, rapid decisions, and full transparency—without engineering dependencies or vendor lock-in. Unlike traditional tools, Kubit eliminates data silos, letting teams analyze customer behavior directly from Snowflake, BigQuery, or Databricks—no ETL or forced extraction needed. With built-in funnel, path, retention, and cohort analysis, Kubit empowers product teams with fast, exploratory analytics to detect anomalies, surface trends, and drive engagement—without compromise. Enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its agility, reliability, and customer-first approach. Learn more at kubit.ai. -
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Whatagraph
Whatagraph
Create and automate visual marketing reports in minutes. Social Media, PPC, SEO, E-mail and other channel marketing analytics in one place to simplify your reporting and campaign assessment. Forget all manual work and human mistakes! Whatagraph’s reports are easy to use and even enjoyable, now you can be calm that even your junior teammates will be capable of understanding and creating multi-source reports fast. Amount of digital marketing data you gather is increasing rapidly. Stay up to date with latest performance in an engaging way. Whatagraph presents data in a way that your clients and teams can easily understand marketing performance and act on it when and where it counts. Set up daily, weekly or monthly automated reports to reach your client's email at the time you select. Customize reports with your own logo, custom color schemes and send them from your own domain. Report the data for several campaigns within different date ranges and sources.Starting Price: $99 per month -
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Amazon QuickSight
Amazon
Amazon QuickSight allows everyone in your organization to understand your data by asking questions in natural language, exploring through interactive dashboards, or automatically looking for patterns and outliers powered by machine learning. QuickSight powers millions of dashboard views weekly for customers such as the NFL, Expedia, Volvo, Thomson Reuters, Best Western and Comcast, allowing their end-users to make better data-driven decisions. Ask conversational questions of your data and use Q’s ML-powered engine to receive relevant visualizations without the time-consuming data preparation from authors and admins. Discover hidden insights from your data, perform accurate forecasting and what-if analysis, or add easy-to-understand natural language narratives to dashboards by leveraging AWS' expertise in machine learning. Easily embed interactive visualizations and dashboards, sophisticated dashboard authoring, or natural language query capabilities in your applications. -
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InSite Elevation Pro
InSite Software
Earthwork and utility professionals face mounting pressure: tighter deadlines, complex projects, and the constant need for precision. InSite Elevation Pro answers these challenges with lightning-fast takeoffs and GPS machine control models that transform how you approach site development. The software's intuitive interface allows your team to calculate cut and fill, stripping, strata quantities, paving and concrete materials, topsoil re-spread, areas, lengths, trench excavation, utilities, and backfill. The software integrates GPS and drone data for grade verification, production tracking, and as-built calculations. Once you've won the bid, Elevation Pro quickly creates GPS machine control models compatible with CAT, Komatsu, Trimble, Topcon, and Leica systems. Comprehensive onboard training and 7-day technical support ensure you achieve productivity quickly. Request a live demo and discover how Elevation Pro empowers you and your team to bid with confidence. -
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Oracle SQL Developer Data Modeler is a free graphical tool that enhances productivity and simplifies data modeling tasks. Using Oracle SQL Developer Data Modeler users can create, browse and edit, logical, relational, physical, multi-dimensional, and data type models. The Data Modeler provides forward and reverse engineering capabilities and supports collaborative development through integrated source code control. The Data Modeler can be used in both traditional and in Cloud environments. Oracle SQL Developer Data Modeler is one of the database tools in the Oracle Database Tools group. It is an independent, standalone product with a full spectrum of data and database modeling tools and utilities. There is a general FAQ and other supporting collateral on the Data Modeler home page. This document is to provide some guidance to the pricing-related questions arising in the community.
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Azure Open Datasets
Microsoft
Improve the accuracy of your machine learning models with publicly available datasets. Save time on data discovery and preparation by using curated datasets that are ready to use in machine learning workflows and easy to access from Azure services. Account for real-world factors that can impact business outcomes. By incorporating features from curated datasets into your machine learning models, improve the accuracy of predictions and reduce data preparation time. Share datasets with a growing community of data scientists and developers. Deliver insights at hyperscale using Azure Open Datasets with Azure’s machine learning and data analytics solutions. There's no additional charge for using most Open Datasets. Pay only for Azure services consumed while using Open Datasets, such as virtual machine instances, storage, networking resources, and machine learning. Curated open data made easily accessible on Azure. -
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erwin Data Modeler
Quest Software
Make enterprise data more manageable and accessible with erwin Data Modeler. The most trusted data modeling software, erwin Data Modeler is used by the world's top brands to create a unified view of any data from anywhere to increase its use, understanding and trust across the organization. erwin Data Modeler is available in three editions: Standard, Workgroup, and Navigator. -
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MySQL Workbench
Oracle
MySQL Workbench is a unified visual tool for database architects, developers, and DBAs. MySQL Workbench provides data modeling, SQL development, and comprehensive administration tools for server configuration, user administration, backup, and much more. MySQL Workbench is available on Windows, Linux and Mac OS X. MySQL Workbench enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. MySQL Workbench delivers visual tools for creating, executing, and optimizing SQL queries. The SQL Editor provides color syntax highlighting, auto-complete, reuse of SQL snippets, and execution history of SQL. The Database Connections Panel enables developers to easily manage standard database connections. -
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An industry data model from IBM acts as a blueprint with common elements based on best practices, government regulations and the complex data and analytic needs of the industry. A model can help you manage data warehouses and data lakes to gather deeper insights for better decisions. The models include warehouse design models, business terminology and business intelligence templates in a predesigned framework for an industry-specific organization to accelerate your analytics journey. Analyze and design functional requirements faster using industry-specific information infrastructures. Create and rationalize data warehouses using a consistent architecture to model changing requirements. Reduce risk and delivery better data to apps across the organization to accelerate transformation. Create enterprise-wide KPIs and address compliance, reporting and analysis requirements. Use industry data model vocabularies and templates for regulatory reporting to govern your data.
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ZinkML
ZinkML Technologies
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.
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