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Talena's big data analytics software tacks on Amazon S3 archive

Talena backups are stored in a compressed and deduplicated format. Customers can now choose Amazon S3 as a backup target and run active big data analytics in AWS.

Big data analytics software vendor Talena is moving deeper into public cloud storage with expanded options for backing up objects in Amazon Web Services.

The San Jose, Calif., startup's big data analytics software upgrade adds Amazon Simple Storage Service (S3) as a backup target to existing targets for Amazon Elastic Block Storage and Amazon Glacier. Customers can now run backup software in AWS and point backup data copies to an S3 object store for long-term retention.

Talena's big data analytics infrastructure can run in the cloud, inside a virtual machine or on standard servers. It uses a single copy of data to support multiple use cases, encompassing archival storage, development and testing, and disaster recovery. 

Talena is a consumption-based annual software subscription for secondary storage with Hadoop, NoSQL databases and enterprise data warehouses. Talena ActiveRx, licensed separately, is a prescriptive big data analytics software algorithm that performs data analysis on passive backup in AWS. ActiveRx forecasts how rapidly data is growing for purposes of capacity planning. 

If backup data is moved to AWS S3, customers who subsequently wish to run analytics on it would incur egress and ingress charges to restore the data locally and then return it to the cloud.

Talena stores backup data in a compressed and deduplicated format before pushing it to cloud storage. Talena's features upgrade becomes generally available Tuesday and will allow enterprise customers to choose the level of S3 encryption and timelines for when data gets moved from Talena to cloud storage.

Talena's big data analytics infrastructure can run in the cloud, inside a virtual machine or on standard servers.

"We give you the ability to do lifecycle management and tiered storage between Amazon cloud options. Just as important, we do all the storage optimization across all your different storage environments, even erasure coding if need be," said Sanjay Sarathy, Talena's chief marketing officer.

Nik Rouda, a senior analyst at Enterprise Strategy Group, said Talena has spent more than two years deliberately building out its capabilities. The ability to support multiple big data vendor platforms and run analytics on active backup should appeal to enterprise and hyperscale data centers.

"Big data environments were largely designed by people focused on analytic workloads, and not as much on storage and data management. These newer data platforms haven't had quite enough seed time to mature in those areas. Talena's goal is to be a data management layer that brings enterprise-grade strength to these different big data analytic platforms," Rouda said.

"They're trying to fill in some of the maturity gaps in a way that spans data platforms. It's a recognition that just having replication or redundancy isn't enough. You need to have more active data management."

Other security enhancements include over-the-wire Secure Sockets Layer encryption for data in flight or at rest and Kerberos network authentication of other big data analytics applications. Development teams get a new feature to create masked copies of production storage for test data management.

In addition, Talena big data analytics software stores data in native Microsoft Azure cloud storage and Google Compute Engine. Sarathy said Talena's roadmap includes integration with Azure Blob storage.

Talena's backup and recovery has been certified by Hewlett Packard Enterprise and Hortonworks. HPE qualified Talena for its HPE Vertica big data analytics platform, although the fate of that partnership is uncertain following HPE's decision to include Vertica in an $8.8 billion asset selloff to U.K.-based Micro Focus.

Talena's big data analytics software also supports big data storage for Hadoop Distributed File System, Hive and Impala, and NoSQL databases such as Cassandra.

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