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Veritas 360 Data Management embraces cloud, dedupe, NoSQL

Veritas 360 platform upgrades -- including cloud deduplication for NetBackup -- dominate the opening day of the vendor's Veritas Vision 2017 user conference.

LAS VEGAS -- Veritas Technologies today launched data deduplication for cloud data protection in NetBackup; new...

parallel streaming to protect NoSQL, Hadoop and Cassandra workloads; and a strategic cloud partnership with Microsoft.

The product upgrades came during the first day of the Veritas Vision 2017 user conference. The expanded application and cloud support are a part of the Veritas 360 Data Management strategy to protect data wherever it resides.

The cloud deduplication is part of NetBackup 8.1 enterprise backup software. The dedupe will be available either as licensed software or a NetBackup Cloud Catalyst 5240 Appliance. Customers can dedupe when they store and manage data in multicloud environments, such as Amazon Glacier and the Microsoft Azure Blob. NetBackup is Veritas' flagship backup application, and it is the basis to the Veritas 360 Data Management Suite.

Veritas has included deduplication inside NetBackup for years, but this is the first dedupe engine certified for cloud providers, said Mike Palmer, chief product officer at Veritas, based in Mountain View, Calif. While others, such as Commvault Systems, also dedupe data going into the cloud, Palmer said Veritas' dedupe speed gives it an edge.

"With the Cloud Catalyst Appliance, customers can integrate their NetBackup backup data to Amazon Glacier or the Azure Blob storage," Palmer said. "This is a proprietary deduplication engine."

Veritas 360 Data Management supports cloud workloads, hyper-convergence

We think our obligation is to protect data regardless of the workload that the customer has chosen.
Mike Palmerchief product officer, Veritas

The Veritas NetBackup parallel streaming enables faster data protection capabilities for cloud-based, scale-out big data applications and workloads. Palmer said Veritas recognizes that creating and protecting scale-out stores for applications such as NoSQL is different than protecting a standard, stand-alone server.

"We can stream data back consistently from multiple servers in a backup solution and represent data across multiple stores," he said. "We think our obligation is to protect data regardless of the workload that the customer has chosen. We see cloud workloads as an obvious example. NoSQL is another obvious example. Another one we are announcing is support for hyper-converged, like Nutanix."

The Veritas 360 Data Management platform first launched during Veritas Vision 2016, its first conference as an independent company after it was sold by security giant Symantec to the Carlyle Group private equity firm for $7.4 billion last year.

Veritas aims to build a broad management portfolio that goes beyond data protection to include orchestration, data analytics, data mobility and automated policy management for virtual, physical and cloud tiers, all managed from a single console.

Veritas, Microsoft partner on hybrid cloud support

The partnership with Microsoft is another step in Veritas' quest to become a data management vendor. Microsoft now supports the Veritas Resiliency Platform, orchestration software that facilitates data migration and recovery of virtual machines and applications across multiple clouds.

Customers can monitor and do failover and failback of multi-tiered applications to and from Azure with one click. Customers can use the cloud as a recovery target in disaster recovery setups while automating DR testing.

Veritas also announced a Veritas Information Map connector for the Azure cloud. The Information Map gives customers visibility into their unstructured data inside Microsoft Azure Blob storage and Azure File Storage. That follows an Amazon Web Services Simple Storage Service Connector for unstructured data in the Amazon cloud that launched in June.

Mark Russinovich, CTO for Microsoft Azure, said the connector can give customers more control while migrating data into the cloud.

"One of the first tests when you talk about cloud migration is data classification," Russinovich said. "You need to understand where your data is and what it is doing and what applications are doing, because when you move data to the cloud, you need to keep in mind the data-gravity problem. And you need to keep in mind the type of controls you put in place in the cloud to keep it secure and keep the costs under control."

The Azure connector was among more than 30 new connectors for Information Map in Veritas 360 Data Management, including those for Box, Google Drive and Microsoft Office 365. The Veritas Information Map visualization tool helps identify risk, waste and complicated migration paths in multicloud environments. The ability to identify and delete data will be particularly important as organizations work to meet the European Union's General Data Protection Regulation requirements by May 2018.

"We will focus on classification engines so that unstructured data gets automatically classified instead of users having to go put metatags on data," Palmer said. "We will talk about index engines and object stores so that when data goes into an object store, it can understand what the content was. We are about intelligent storage."

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