Compare the Top Data Discovery Apps for iPhone as of December 2025

What are Data Discovery Apps for iPhone?

Data discovery software is a type of software tool that allows users to quickly identify patterns, trends, and relationships in large datasets. It utilizes tools such as natural language processing and machine learning to quickly analyze data and uncover insights. Data discovery software can be used in a variety of areas such as healthcare, business intelligence, fraud detection, risk management, and more. Its purpose is to give its users quick access to the most relevant data so they can make informed decisions. Compare and read user reviews of the best Data Discovery apps for iPhone currently available using the table below. This list is updated regularly.

  • 1
    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
  • 2
    DragonGlass

    DragonGlass

    OpenCrowd

    DragonGlass is a highly scalable Platform as a Service infrastructure that stores and processes (unmarshalling, indexing, signature verification, etc) data collected from the Hedera Hashgraph platform at a TPS similar to the Mainnet. For end users the platform supports a Google-like search to access accounts, transaction, smart contracts files, … almost everything produced on the Mainnet. For developers, the platform supports a wide range of REST based API’s to access all data. DragonGlass also contains a dApp Marketplace where dApp developers can list their product for users to view all details related to the dApp, including transaction history, balance history, and payment receipts.
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