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Komprise Gives Enterprise Users New Tools for Managing Unstructured Data

Self-service features allow line-of-business data owners and data specialists to view data usage and run queries, fostering collaboration with IT.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Komprise, a leader in analytics-driven unstructured data management and mobility, has released the Fall 2022 update to Komprise Intelligent Data Management, which introduces self-service features for line of business (LOB) IT, analytics, and research teams. Now, central IT can authorize departmental end users to interactively monitor usage metrics, data trends, tag and search data, and identify data sets for analytics, tiering, and deletion. These new capabilities bridge the longstanding gap between IT’s focus on optimizing storage infrastructure and costs and users’ focus on finding and operating on the right data sets.

The Fall 2022 release builds upon Komprise Smart Data Workflows, a new capability that allows IT teams to automate the process of tagging and discovering relevant file and object data across hybrid data storage silos and feeding the right data to cloud services.

The new deep analytics user profile gives authorized users read-only access to view their own data characteristics (such as number, type, and age of files) and collaborate with IT on data management, delivering compliance and storage savings benefits while giving data owners greater control of their data.

Use cases include:

  • Showback. Authorized departmental users can monitor and understand their data usage (such as how many and what types of files, where data is stored, and who are the biggest consumers) in an interactive dashboard and can create queries to get real-time visibility and manage costs, rather than ask IT to create static reports. Use case example: a new research initiative at a life-sciences organization requires 100TB of data storage and the project lead needs to work with IT to move older file shares to cloud storage and free up space.
  • User-driven tagging. Users canenrich data with additional metadata tags to facilitate easier search and data management actions such as archival storage or compliance and legal hold. Use case example: the HR director needs to ensure that all files with employee PII data are tagged so information is properly and securely stored for privacy requirements and searchable for deletion when the employee leaves.
  • User-driven tiering and data mobility. Authorized users can identify data sets with certain characteristics (such as project or age) to move to cloud or other secondary storage for more cost-effective data management or research initiatives. Use case example: all files related to a project need to be copied to the cloud for data analytics; the entire workflow between users and IT is automated via Komprise.
  • Data deletion. IT can set up data movement and deletion as a workflow in Komprise and the entire process is automated without requiring user or IT intervention. For example: All marketing campaign files should be moved to archival storage 30 days after project completion and then confined for deletion after two years. The entire data workflow can be based on user queries and policies created by IT.

“In most organizations, IT is becoming a shared service to its business units and building trust is paramount to its success, especially in the cloud,” says Kumar K. Goswami, CEO of Komprise. “Komprise now allows IT to build trust and drive data-driven decision making in lock-step with their business users.”

Other Komprise Fall 2022 updates include improved SMB protocol for data migration performance and share management, bulk data recall performance improvements, native support for Amazon FSx for NetApp ONTAP, plug-and-play integration with AWS Snowball to automatically migrate PBs of data to the cloud and enhanced data indexing to support faster data, and file search with deep analytics.

More information is available at

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