SAN JOSE, Calif. – Sept. 18, 2018 – Imanis Data, the leader in enterprise data management powered by machine learning, today announced a major upgrade to the Imanis Data Management Platform, continuing the company’s momentum since raising $13.5 million Series B funding earlier this year. The new Version 4.0 includes multiple industry firsts including autonomous backup, any-point-in-time recovery for multiple NoSQL databases, enhanced ransomware prevention, as well as numerous Imanis Data management enhancements.
Hadoop and NoSQL applications are running in virtually every enterprise on-premises and in the cloud, but they lack enterprise data management capabilities, exposing organizations to data loss, downtime, and cyberattacks.
“According to our research, 78% of organizations currently use NoSQL databases and an additional 18% plan to in the future,” said Christophe Bertrand, senior analyst for data protection, at ESG Research. “The data protection market in this space is underserved by traditional vendors and Imanis Data with their unique machine learning approach is setting the bar for Hadoop and NoSQL enterprise data management.”
Imanis Data Management Platform (IDMP) Version 4.0 builds on the company’s technology leadership with multiple industry firsts, including:
“On-premises and cloud-based Hadoop and NoSQL deployments are proliferating rapidly across enterprises everywhere, but innovation around enterprise data management tools has not kept pace, creating a huge challenge,” said John Mracek, CEO, Imanis Data. “Our unique machine learning-based approach to data management provides enterprise customers with the data protection, data orchestration, and automation solutions they need to address their governance, remediation, and compliance requirements.”
With this release, Imanis Data is the first company to introduce autonomous backup powered by machine learning. With Imanis Data SmartPoliciesTM, enterprise customers no longer need to worry about how to meet required recovery point objectives (RPOs), for example, when to run backups or how frequently. Instead, users can now simply specify the desired RPO and Imanis Data SmartPoliciesTM does the rest.
“Machine learning (ML) is increasingly being adopted within data management products for their improved operation and optimization,” according to Donald Feinberg, VP Distinguished Analyst and Merv Adrian, Research VP, Gartner. “Gartner recommends that data and analytics leaders focused on data management capabilities make ML-enabled capabilities a ‘must-have’ selection criterion for new purchases of data management products.”1
Based upon numerous metrics including desired RPO, criticality and volume of data to be protected, primary cluster workloads, and daily or seasonal resource utilization, Imanis Data SmartPoliciesTM will determine the most efficient way to achieve the desired RPO.
If an RPO can’t be met, for example where production systems are always too busy, or computing resources are insufficient, then Imanis Data SmartPolicies™ provides recommendations that can make the RPO executable. This all saves enterprises time and cost by reducing the human overhead required to manage the backup process, avoids the risk of missed RPOs, and eliminates human error.
Imanis Data ThreatSense™ ransomware detection is also enhanced in this release and now includes Intelligence Augmentation which allows users to report false-positives only identifiable through human observation. This data is fed back into the ML model, eliminating specific anomalies and making detection even more effective.
With this release, Imanis Data becomes the first and only vendor to provide fully automated any-point-in-time recovery for multiple NoSQL databases. Enterprises will no longer be limited to fixed blocks of recovery time, but instead will be able to restore data to any specific point in time, providing the ultimate in recovery flexibility.
“Data is the key to creating engaging digital experiences for customers and employees, so ensuring that data is protected is critical,” said Matt McDonough, vice president of Business Development at Couchbase. “Imanis Data’s unique machine learning-powered approach to enterprise backup and recovery complements our market-leading Engagement Database, and it’s a good fit for customers wishing to protect their data-on-premises or in the cloud.”
Version 4.0 further expands Imanis Data’s market-leading ecosystem of supported Hadoop and NoSQL platforms, including Apache Cassandra, Apache HBASE, Cloudera, Couchbase, DataStax, Hadoop, HDInsight, HortonWorks, Microsoft ADLS, MongoDB, and Vertica platforms. Additionally, the latest release includes usability enhancements to Imanis Data FastFind, including job tag listing and a browsable catalog for simple recovery.
“Edge Solutions is very excited to work with Imanis Data,” stated David Able, managing partner and COO, Edge Solutions LLC. “It is exciting for Edge Solutions to clearly stand at the forefront of a new IT model and provide cutting edge IT solutions. Our partnership with Imanis Data is a perfect match for our customers.”
To learn more about this latest release, read the Imanis Data blog here. Or talk with Imanis Data experts at Couchbase Connect – Sept. 19 in San Jose, Calif. at the Convention Center, or at Microsoft Ignite – Sept. 24-28 in Orlando, Fla.: at the Orange County Convention Center, booth # 841.
Imanis Data is the leader in enterprise data management powered by machine learning. The Imanis Data Management Platform enables customers to harness the full value of their data by delivering solutions that protect their data, as well as orchestrate and automate all their data management tasks. Imanis Data has been named a CRN Emerging Vendor. Imanis Data’s customers include leading Fortune 500 businesses in the retail, financial services and technology industries, among others. Backed by Canaan Partners, Intel Capital, Onset Ventures, and Wipro Ventures, Imanis Data is located in San Jose, CA. For more information, visit imanisdata.com and follow us on Twitter at @imanisdata.
Waters Communications for Imanis Data
1Gartner, Hype Cycle for Data Management, 2018, 25 July 2018