Best Data Management Apps for Android

Compare the Top Data Management Apps for Android as of May 2025

What are Data Management Apps for Android?

Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security. Compare and read user reviews of the best Data Management apps for Android currently available using the table below. This list is updated regularly.

  • 1
    Kochava

    Kochava

    Kochava

    Advertisers worldwide use Kochava to measure what matters most across any channel, any device, and any audience. Founded in 2011 as one of the first mobile measurement partners (MMPs), Kochava now supports campaign measurement on mobile and beyond. Tap into multi-touch attribution, modern MMM, and always-on incremental measurement disciplines to achieve a data-driven, privacy-durable growth strategy. Know which omnichannel tactics drive customer acquisition and retention across connected devices. Key features include: omnichannel app attribution & analytics, cost & ROI measurement, deep linking, marketing data management & ETL support, ad fraud detection & prevention, and strategic services. The Kochava library of software development kits (SDKs) provide out-of-the-box measurement support across mobile, CTV, web, and other connected devices. Built-in integrations enable clients to activate and measure campaigns with thousands of ad networks, CTV platforms, publishers & more.
    Starting Price: FREE
    Partner badge
    View App
    Visit Website
  • 2
    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.
  • 3
    Segment

    Segment

    Twilio

    Twilio Segment’s Customer Data Platform (CDP) provides companies with the data foundation that they need to put their customers at the heart of every decision. Per IDC, it’s the #1 CDP in worldwide market share four years in a row (2019-2022). Using Twilio Segment, companies can collect, unify and route their customer data into any system where it’s needed to better understand their customers and create seamless, compelling experiences in real-time. Over 25,000 companies use Twilio Segment to make real-time decisions, accelerate growth and deliver world-class customer experiences.
    Starting Price: $120 per month
  • 4
    Ragic Builder
    Ragic is a no-code database builder that allows its user to build their own system according to their own workflow with a spread-sheet like interface that is as quick and as intuitive, capable of building small contact management systems to fully fledged ERP systems.
    Starting Price: $5/month/user
  • 5
    BigID

    BigID

    BigID

    BigID is data visibility and control for all types of data, everywhere. Reimagine data management for privacy, security, and governance across your entire data landscape. With BigID, you can automatically discover and manage personal and sensitive data – and take action for privacy, protection, and perspective. BigID uses advanced machine learning and data intelligence to help enterprises better manage and protect their customer & sensitive data, meet data privacy and protection regulations, and leverage unmatched coverage for all data across all data stores. 2
  • Previous
  • You're on page 1
  • Next