Automated, Secure Copy Data Management

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Self-service, copy data management orchestration. Masking and sampling for compliance.

Deliver Applications Faster, Increase Agility

Enable self-service access to production data to support your continuous integration / continuous delivery (CI/CD) initiatives

Product Features


Copy data to non-production sandboxes with automated workflows, on a periodic or ad hoc basis, without any scripting.


Keep masked sandbox data statistically consistent while preserving referential integrities in the original data.

Cost Efficient

Realize big savings on network bandwidth via incremental transfers, data sampling, and filtering.


Ensure that PII data is masked consistently yet irreversibly to ensure to meet compliance needs.

By The Numbers

The average enterprise company experiences 3 or more application release delays per year waiting for production data to be delivered to their engineering teams
Increase team productivity an average of 30% through automated test data management
Prior to implementing Imanis Data, one customer estimated application delays cost the company nearly 450K every year

What Customers and Analysts Say

Through Reltio data-driven applications business users access and expect constant availability of this data. Imanis Data's backup, recovery and test data management solution is an ideal fit for our rapidly growing DataStax Enterprise environment, and their recent security and AWS S3 enhancements are critical for our customers, particularly in highly regulatory environments.

— Zoltan Gombosi | Vice President, Engineering

The rapid rise of big data applications is changing how companies protect and manage the availability of data throughout the application life cycle -- concurrently we are acutely more aware of the tremendous business value that all data holds.

— Nik Rouda | Senior Analyst, Enterprise Strategy Group

If you thought the need for backup somehow evaporated with the advent of Hadoop, its probably because you don't really understand backup.

— Robin Bloor | Co-Founder & Chief Analyst

Business applications built on top of modern data platforms such as MongoDB and Cassandra are just as exposed to the threat of ransomware and critical data loss as traditional applications. Yet, many IT managers are just beginning to look at data protection requirements for these applications. IT organizations need to consider data protection tools designed specifically for these environments, such as Imanis Data, because some of the underlying architectural issues are different from traditional data types.

— Phil Goodwin | Research Director

Speed and efficiency of recovery is vitally important in helping us achieve our business goals. We’ve found that Imanis Data 3.0 is the only platform that can easily scale with our growing business and data needs. Its rapid backup and recovery capabilities have reduced our potential downtime to a minimum and have helped our business run more efficiently.

— Rodrigo Balan | Network Operations Manager

When we moved to a Big Data architecture, we knew that application and data recovery was a fundamental requirement. Where most companies fall short, Imanis Data provides that at scale.

— Kersi Tavadia | CIO

Secure Masking and Sampling to Ensure Compliance

Easily protect PII and other valuable information from accidental error or unauthorized exposure.


Prevent unauthorized data access by defining roles for specific data management tasks across your organization.


Ensure via built-in data masking that PII information is not accidentally compromised.


Encrypt data in motion and at rest while leveraging key standards like LDAP and Kerberos to minimize potential data exfiltration.

Just How Expensive are Application Delays?

90% of organizations lose between two and three weeks each time they wait for test data to be made available to engineers, resulting in over $200,000 annually in lost productivity and opportunity costs.
Read the Case Study

Latest News and Blog

By: Peter Smails
July 31, 2018

Protection, Orchestration, Automation: The Pillars of Enterprise Data Management

The Need for a Fresh Approach to Enterprise Data Management Driven by the need to remain competitive and differentiate themselves, organizations are undergoing digital transformations and becoming increasingly data driven,…


By: Peter Smails
July 12, 2018

Leveraging Machine Learning to Combat Ransomware

It’s every enterprise’s nightmare. You’re hit by Ransomware and your data is encrypted. The business doesn’t just grind to a halt, it hits a wall. What would you do? Sure,…


By: Peter Smails
July 03, 2018

Why Data Awareness Matters for Modern Data Management

Imanis Data recently added another leading global retailer to the list of organizations who have entrusted us to provide complete data management for their business critical data lakes. This win…


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