Best Data Modeling Tools

Compare the Top Data Modeling Tools as of June 2025

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.

  • 1
    Kubit

    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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  • 2
    Lucidchart

    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.
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    Starting Price: $7.95/month/user
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  • 3
    Domo

    Domo

    Domo

    Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps. Underpinned by a secure data foundation that connects with existing cloud and legacy systems, Domo helps companies optimize critical business processes at scale and in record time to spark the bold curiosity that powers exponential business results.
  • 4
    Enterprise Architect
    Enterprise Architect is an enterprise wide solution to visualize, analyze, model, test and maintain all of your systems, software, processes, and architectures. Enterprise Architect is the ideal platform to help you to stay in control of your workspace, support your colleagues and team, enable collaboration and build confidence within your most complex projects.
    Starting Price: $229
  • 5
    Xplenty

    Xplenty

    Xplenty Data Integration

    Xplenty, a scalable data integration and delivery software, allows SMBs and large enterprises to prepare and transfer data for analytics to the cloud. Xplenty features include data transformations, drag-and-drop interface, and integration with over 100 data stores and SaaS applications. Xplenty can be added by developers to their data solution stack with ease. Xplenty also allows users to schedule jobs and monitor job progress and status.
  • 6
    Amazon QuickSight
    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.
  • 7
    Modelio

    Modelio

    Modeliosoft

    Use the best modeling techniques adapted to all your business needs. Benefit from a support ensuring the collaboration of people and a range of expertise, with dedicated methodological support. Adapt the platform to your organization (actors and roles, expertise, projects, federated organizations). Store your knowledge in a coherent and standardized repository centralizing all models and documentation. Share information automatically in WEB portals or up-to-date documents. Define the common language adapted to each participant. Organize and manage the repository. Have a software at your disposal that adapts to the load increase or decrease of projects and teams. Have a solution accessible to teams regardless of their geographic location. Permanent support at both the material and functional levels.
    Starting Price: $422 one-time payment
  • 8
    Anzo

    Anzo

    Cambridge Semantics

    Anzo is a modern data discovery and integration platform that lets anyone find, connect and blend any enterprise data into analytics-ready datasets. Anzo’s unique use of semantics and graph data models makes it practical for the first time for virtually anyone in your organization – from skilled data scientists to novice business users – to drive the data discovery and integration process and build their own analytics-ready datasets. Anzo’s graph data models provide business users with a visual map of enterprise data that is easy to understand and navigate, even when your data is vast, siloed and complex. Semantics add business content to data, allowing users to harmonize data based on shared definitions and build blended, business-ready data on demand.
  • 9
    ExoCoding

    ExoCoding

    ExoCoding

    ExoCoding is a code generation online platform that empowers software developers to build better software faster. It uses model-based AI-powered assistants to generate boilerplate code and streamline repetitive tasks. Developers can create apps containing modules with Database Management, Logic Building, and Interface Design. There are also more features like sharing prototypes, task planning, and a marketplace with pre-built templates that enhance the developer’s experience. After generating code (backend and frontend), everything is business as usual with the same IDE and other dev tools, but with much work already accomplished.
  • 10
    Data Warehouse Studio
    Data Warehouse Studio enables software architects, data modelers, and business analysts to contribute directly to the outcome of data warehouse and business intelligence projects. Using Data Warehouse Studio’s graphical user interface, these domain experts define business rules, data mappings, desired coding patterns, and other design elements. Once these requirements and technical specifications have been entered in Data Warehouse Studio’s central repository, the platform automatically generates 99-100% of the SQL and ETL code required for the project, eliminating the need for hand-coding. For most projects, Data Warehouse Studio completely eliminates the need to manually code ETL or SQL processes. Data Warehouse Studio is a design time technology that provides a single integrated platform for all project participants to capture requirements and technical specifications.
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