Industry-Leading Hadoop Data Orchestration

Data orchestration for Hadoop - Microsoft, Cloudera, Hortonworks, HDFS, Hive, HBase, HDInsight, Impala - helps you recover quickly, deliver applications faster, minimize non-compliance risk, and optimize data placement in your infrastructure.

See It In Action

One Platform for Orchestration, Mobility, Protection

Granular Backup and Recovery

Reduce downtime with FastFind™ and point-in-time targeting for selective recovery. Target down to the partition level while minimizing cost with policy-based storage optimization of data size and placement.

Faster New Product Development

Deliver applications faster with real-time, self-service production copies for Dev/Test. Meet compliance with PII masking of confidential data.

Full Data Mobility, Migration

Effortlessly move data across on-prem and clouds for total flexibility. Leverage full, policy-driven tiering to reduce cost while preserving access to data.

Machine Learning Security

Monitor data changes with machine learning for anomaly detection. Get early visibility into Ransomware attacks, malicious deletions by disgruntled employees, or application bugs that corrupt data.

Native Replication is Not Total Data Protection

While data replicas provide protection against node failure, the unfortunate reality is that built-in Hadoop replicas won’t protect your business in many common data loss scenarios. In the event of human error or application corruption, the error is propagated across replicas.

How confident are you with your backup strategy?

Get A Free Backup & Recovery Assessment >>

How Does Imanis Data Compare to Native Hadoop Tools?

  • Faster and Easier Data Recovery

    No need for detailed specifics: locate the lost objects for recovery with ease using our FastFind technology.

  • Reliable and Resilient Backups

    Backups and archives that are resilient to hardware failure, and stored on a separate system or in the cloud.

  • Scalable and Flexible Infrastructure

    Highly scalable, multi-use case solution that minimizes the impact of Hadoop data loss, whether you’ve stored the data in HDFS, Hive, or HBase.

Related Resources

By: Jay Desai February 13, 2018

Four Reasons Your Current Hadoop Backup and Recovery Solution is Falling Short

The rapid adoption of Hadoop within the enterprise has resulted in the deployment of a number of haphazard, quick fix Hadoop backup and recovery mechanisms. Usually, these primitive solutions come…


By: Jay Desai November 09, 2017

Migrating Hadoop Data to Microsoft Azure - part 2

In the previous post, we discussed the different scenarios that enterprises face migrating Hadoop data to and within Microsoft Azure. Imanis Data is tightly integrated with Microsoft Azure cloud services…


By: Jana Lass November 08, 2017

Publicly Traded Advertising Tech Company - Hadoop Case Study

Publicly Traded Advertising Technology Company A publicly traded ad-tech company needed a disaster-recovery (DR) and an archive solution for its growing 900-node Hadoop cluster. This cluster supports the company’s programmatic…


By: Jana Lass November 08, 2017

International Stock Exchange - Hadoop Case Study

International Stock Exchange One of the world’s largest stock exchanges transitioned from an older data warehouse to one built on top of Impala and Hadoop. As part of this transition,…


By: Jana Lass November 08, 2017

Fortune 100 Technology Company - Hadoop Case Study

Fortune 100 Technology Company Data Management A Fortune 100 technology company has deployed a 500 TB, 200-node Hadoop cluster in production. This cluster supports an interactive application that consumes data…


By: Jay Desai November 08, 2017

Migrating Hadoop Data to Microsoft Azure Cloud

With the rapid adoption of Microsoft Azure cloud services for Hadoop, one of the challenges organizations face is migrating Hadoop data to a newly provisioned Microsoft Azure cloud infrastructure.  Existing…


By: Jay Desai October 30, 2017

Why Backing Up VMs of Your Hadoop Infrastructure is Misguided

The other day a customer asked us why they shouldn’t just perform Hadoop backup by backing up the entire virtualized infrastructure that houses their Hadoop environment.  There is certainly the…


By: Jay Desai October 12, 2017

Critical Considerations for Hadoop Disaster Recovery

Disasters in a Hadoop environment take various forms.  It could be a major natural disaster that takes out an entire data center, an extended power outage that makes the Hadoop…


By: Jay Desai August 09, 2017

Hadoop Backup eBook

Hadoop Backup eBook Critical requirements for data protection or backup in the world of modern data platforms include:   Incremental-forever backups Fast and granular recovery Parallel data transfers between the…


By: Jay Desai August 08, 2017

A Technical Perspective on the Imanis Data Platform

A Technical Perspective on the Imanis Data Platform Over the past decade, the emergence of social media, mobile, and cloud technologies has created vast quantities of data, or “Big Data”,…


By: Jana Lass August 06, 2017

Hadoop Datasheet

Highly Scalable Data Management for Hadoop Hadoop has enabled companies to deploy large-scale, distributed applications that identify customer shopping patterns, tackle potential fraud, and even process human genome data across…


By: Jana Lass August 04, 2017

Imanis Data Solution Brief

Reduce downtime by rapidly recovering data at various levels of granularity and save significant CapEx and OpEx via up to 80% reduction in storage footprint.


By: Jana Lass July 31, 2017

An Inside Look into the Imanis Data Architecture

An Inside Look into the Imanis Data Architecture Big Data has matured beyond the confines of the research lab, and now serves as the foundation for high-value, business-oriented applications. Yet…


By: Sapan Maniyar March 30, 2017

The Unique Capabilities of the Imanis Data HBase Connector

In this post we compare the Imanis Data HBase Connector with existing and proposed data protection solutions for Apache HBase. Imanis Data HBase connector design As with all Imanis Data…


By: Jay Desai March 13, 2017

Hadoop Backup and Recovery in a Complex Deployment

Summary: One of the world’s largest financial services companies deploys Imanis Data for Hadoop backup and to support business-critical analytics capabilities.   Industry: Financial Services. One of the largest financial services companies…


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


Don’t Learn The Hard Way!

Prior to implementing Imanis Data, one Fortune 10 customer learned the hard way how costly losing data can be. A single developer error caused the loss of 400TB of data in their Hadoop environment. They spent nearly four weeks rebuilding this data set and it cost the company over $1 million in direct and opportunity costs. They now use Imanis Data as a highly scalable data protection platform that provides backup and recovery across their Hadoop infrastructure.

Request A Demo