Fully Automated Backup, Fast Granular Recovery for Hadoop and NoSQL

See It In Action

Petabye-scale, complete automation, granular, point-in-time recovery, and parallel processing give you the fastest, easiest, and most flexible recovery on the market.

Unmatched Big Data Backup

Scripting can't deliver fast and reliable recovery. That means downtime, and could mean your job.

Go beyond scripting or the mere snapshots and stock replication of database vendor platforms with the industry's leading Big Data backup and recovery solution. Minimize downtime, slash storage costs up to 90%, ensure data is secure, and free up scarce engineering resources.

Product Features

Scalable to Petabytes

Expand with ease. Recover petabytes of data quickly and seamlessly, thanks to a distributed, scale-out architecture and parallel processing.

Incremental Forever

Perform a full backup only once. All subsequent backups are incrementally copied to Imanis Data, reducing storage footprint. Data is stored in logical, not synthetic form, dramatically increasing recovery speed.


Enable point-in-time recovery that includes metadata such as file/directory attributes as well as table/database schemas.


Keep pace with nodes constantly being commissioned and decommissioned.

Storage and Security Optimized

Reduce storage footprint up to 80% with global block-level deduplication, compression and erasure coding. Secure data with masking, role-based access control, authentication, and anomaly detection

Data Backup & Recovery By The Numbers

Runs 10x FASTER than native NoSQL and Hadoop platform utilities
Saves up to 90% on secondary storage costs.
Easily handles the scale of modern applications

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

Don't rebuild. RECOVER.

Slash downtime caused by data loss - even in the event of human error or application corruption. Protect your data, protect your business.


Quickly locate lost objects using Imanis Data FastFind, our Google-style search interface.


Single-click restore process eliminates the pain of a manual, slow, multi-step recovery.


Recover data down to an object level and to a specific point in time.


Recover back to the original cluster or to an alternate cluster with a completely different size and topology.

What would it cost you to rebuild a lost data set?

Prior to using Imanis Data, one customer lost 400TB of data due to human error. It took four weeks to rebuild the data set, and cost the company over $1M in lost opportunities.

How confident are you with your backup strategy?
Free Backup & Recovery Assessment

Latest News and Blog

By: Peter Smails
January 30, 2019

Case Study – Why a Fortune 400 Healthcare Company Selected Imanis Data for Hadoop Data Protection and Management

Case studies are a great way to articulate to readers the value we provide to our customers.  Let’s look at a recent Imanis Data ‘win’ from the customer perspective –…


By: Peter Smails
January 25, 2019

2019 Starts With a Bang – Competitive Wins, Product Awards, Market Investment

In my last blog I discussed how NoSQL and Hadoop databases were crossing the tipping point in becoming critical pillars of organization’s data management strategy.  If the rest of the…


By: Peter Smails
December 12, 2018

NoSQL and Hadoop Databases Cross the Tipping Point

My first blog about NoSQL and Hadoop data management was entitled Skating to Where the Puck is Going, because at the time all indications were that neither NoSQL nor Hadoop…


Take the Next Step

Put Imanis Data to work for all your data management needs.