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.
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.
Deliver applications faster by rapidly moving copies of production data to engineering and DevOps teams. Meet compliance standards by masking confidential data.
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.
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.
How confident are you with your backup strategy?
No need for detailed specifics: locate the lost objects for recovery with ease using our FastFind technology.
Backups and archives that are resilient to hardware failure, and stored on a separate system or in the cloud.
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.
February 13, 2018
Vice President, Engineering
Senior Analyst, Enterprise Strategy Group
Co-Founder & Chief Analyst
Network Operations Manager