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Security for Hadoop has been a patchwork, and Dataguise is seeking to fill the gaps with detection, encryption, masking, and monitoring capabilities for sensitive data that it positions as complementary to platform providers.


  • Dataguise's strategy complements that of Hadoop platform providers in delivering data security.

Features and Benefits

  • Dissects Dataguise's strategy to deliver data protection at the cell level for Hadoop and Cassandra.
  • Compares Dataguise's strategy for protecting data security versus that of Hadoop platform providers.

Key questions answered

  • How does Dataguise differentiate in delivering data protection from data platform providers?
  • How comprehensive is Dataguise's protection of data in Hadoop? Does it cover all the necessary open source projects that are part of the Hadoop platform?

Table of contents


  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put Dataguise on your radar?


  • Background
  • Current position

Data sheet

  • Key facts


  • On the Radar
  • Further reading
  • Author

Recommended Articles


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