Best Data Modeling Apps for Android of 2024

Find and compare the best Data Modeling apps for Android in 2024

Use the comparison tool below to compare the top Data Modeling apps for Android on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Domo Reviews
    Top Pick
    See App
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    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.
  • 2
    Lucidchart Reviews
    Top Pick

    Lucidchart

    Lucid Software

    $7.95/month/user
    10 Ratings
    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.
  • 3
    Xplenty Reviews

    Xplenty

    Xplenty Data Integration

    Xplenty is a scalable data delivery and integration software that allows large businesses and SMBs to prepare and transfer data to the cloud for analytics. Xplenty features include data transformations and drag-and-drop interface. It also integrates with over 100 data storages and SaaS apps. Developers can easily add Xplenty to their data solution stack. Xplenty allows users to schedule jobs, track job progress, and keep track of job status.
  • 4
    Quicksight Reviews

    Quicksight

    Amazon Web Services

    Amazon QuickSight allows everyone within your organization to access your data. This includes asking questions in natural language, exploring interactive dashboards, and automatically looking for patterns or outliers using machine learning. QuickSight powers millions upon millions of dashboard views per week for customers like the NFL, Expedia and Volvo. This allows their end-users make better data-driven decision making. To receive relevant visualizations, ask questions about your data using Q's ML-powered engine. This allows you to ask conversational questions without the need for data preparation by admins and authors. AWS' machine learning expertise allows you to uncover hidden insights in your data, forecast accurately and do what-if analysis. You can also add natural language narratives or easy-to-understand natural languages to your dashboards using AWS' machine learning expertise. You can embed interactive visualizations and dashboards in your applications, as well as sophisticated dashboard authoring and natural language query capabilities.
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