Industry-Leading Data Management Software for Hadoop

Data management for Hadoop - HDFS, Hive, HBase, HDInsight, Impala - helps you recover quickly in the event of data loss, deliver applications faster, minimize non-compliance risk, and archive old data.

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Data Management Software for Hadoop

Granular Backup and Recovery

Reduce downtime costs from ransomware or human errors through granular recovery via Imanis Data FastFind™. Recover down to the partition level, and significantly reduce operational costs via machine learning, smart storage optimization, and incremental-forever backups.

Faster Test Data Management

Deliver applications faster by rapidly moving copies of production data to engineering and DevOps teams. Meet compliance standards by masking confidential data.

Effortless Cloud Migration

Migrate your big data workloads with ease, whether you are moving from a completely on-prem deployment to the cloud, transitioning between cloud providers, or just want to run parts of your workload in the cloud.

Efficient Archiving

Reduce CapEx and OpEx costs, and support regulatory requirements, by moving older, less frequently used data to cost-efficient storage tiers such as Amazon Glacier.

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.

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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

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Migrating Hadoop Data to Microsoft Azure - part 2

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By: Jana Lass November 08, 2017

Publicly Traded Advertising Tech Company - Hadoop Case Study

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International Stock Exchange - Hadoop Case Study

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Fortune 100 Technology Company - Hadoop Case Study

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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 data to a newly provisioned Microsoft Azure cloud infrastructure.  Existing methods…

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By: Jay Desai October 30, 2017

Why Backing Up VMs of Your Hadoop Infrastructure is Misguided

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By: Jay Desai October 12, 2017

Critical Considerations for Hadoop Data Replication

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By: Sanjay Sarathy August 09, 2017

Hadoop Backup eBook

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By: Sanjay Sarathy August 08, 2017

A Technical Perspective on the Imanis Data Platform

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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…

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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.

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By: Jana Lass July 31, 2017

An Inside Look into the Imanis Data Architecture

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By: Sapan Maniyar March 30, 2017

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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…

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By: Jay Desai March 13, 2017

Data Protection in a Complex Hadoop Deployment

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

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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 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.

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