Hortonworks, which recently announced DataPlane Service (DPS), a product designed to address the new paradigm of data management, has announced the first generally available extensible service that DPS will support—Data Lifecycle Manager (DLM). DLM 1.0 is a hybrid cloud-focused solution that offers disaster recovery and replication with auto-tiering and backup and restore.
DPS helps companies manage, govern, and secure data/workloads across multiple services, types of data and environments without changing underlying infrastructure.
According to the vendor, Hortonworks DPS and DLM are coming to market at a time when companies need help managing and securing their data with GDPR compliance, as well as keeping their data cloud vendor affiliation agnostic.
According to Saumitra Buragohain, senior director product management, Hortonworks, who announced the new solution in a blog post, DLM is designed around Hortonworks’ customers’ use cases for replication, backup, and tiering, and will encompass multiple sources of data, including clusters, data lakes) as well as multiple tiers, including on-premise, multiple cloud, and hybrid.
“DLM addresses many of the use cases for business continuity/disaster recovery that we see our customers trying to solve,” writes Buragohain. “Further, this also helps them adopt a hybrid cloud approach for agility and total cost of ownership (TCO) savings. They are interested in moving a sub-set of data in existing Hadoop clusters to the cloud and then use the computer power of Cloud to run Spark jobs, etc.”
The solution is actually a suite of products, said Buragohain, that is designed to provide disaster recovery and hybrid cloud capabilities to replicate unstructured data (Hadoop Storage File System directories) and structured data (Hive SQL databases), along with respective metadata (Hive meta-store, views/user defined functions) and auxiliary data such as security policies maintained by Ranger with a Recovery Point Objective (RPO).”
Hortonworks will provide additional functionality such as backup and restore and tiering in the future, he noted. Backup and restore functionality will allow customers to keep point in time copies of Hadoop data so that in case of data corruption or accidental deletion, they can go back in time and recover their data. Auto tiering will enable customers to create dynamic policies suited to their organizations and then, based on user access patterns, move the data between different tiers to control the total cost of ownership.
For more information about the Hortonworks DataPlane Service, go to https://hortonworks.com/products/data-management/dataplane-service/