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August 14, 2017

Data Recovery Gets Speed, Security Boost

George Leopold

(robuart/Shutterstock)

The rise of sophisticated cyber attacks such as ransomware is fueling demand for data backup and recovery platforms that can help companies quickly get back on their feet after an attack. With that in mind, a data management software vendor has released the latest version of its machine learning-based system designed to detect ransomware while identifying accidental data loss.

Imanis Data, formerly Talena, released version 3.0 of its backup and recovery platform last week with an emphasis on recovering large data sets for platforms ranging from Cassandra and Couchbase to Hadoop and MongoDB. Along with faster and more granular data recovery, the company also touted potential secondary storage savings via the upgraded platform.

Redundant backups are no longer sufficient to protect against large-scale data loss, argues Imanis CEO Nitin Donde. “In the event of loss, corruption, or ransomware attacks, speed and accuracy of recovery are essential,” Donde added in a statement announcing the upgrade.

Leveraging machine-learning techniques, the updated data recovery platform is said to be capable of recovering petabyte-size data sets with the goal of reducing company downtime from days to hours or less. The machine learning capabilities are geared to early detection of increasingly widespread ransomware attacks. Once attacks are detected, users are notified of accidental data loss.

Analysts note that the risk of data loss grows as more enterprise applications are built on top of data platforms such as the Apache Cassandra and MongoDB databases along with Hadoop/HBase Hive and Vertica.

The San Jose-based company said its software-defined data backup platform uses cloud-based data replication to provide disaster recovery across different regions. It also features support for different cloud storage options, including native integration with Microsoft (NASDAQ: MSFT) Azure Blob Storage and HDInsight, the Hortonworks cloud distribution for Hadoop.

Targeting the retail sector, the company has stressed the ability to maintain a unified data stream across online and offline customer channels. CEO Donde notes that nearly 40 percent of retailers surveyed by market analyst Forrester Consulting last year reported they had yet to integrate different back-office platforms hosting disparate data streams.

“Addressing fundamental issues around scale, security, and infrastructure readiness will remain critical before retailers can reap the full benefits of their data investments,” Donde added.

Imanis Data said the next generation of its data recovery platform is available now.

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