WANdisco Releases LiveData Platform for Petabyte Scale Cloud Migration to Microsoft Azure

WANdisco automates and minimizes risk of Hadoop migration with an expected ROI of three months

SAN RAMON, Calif., June 01, 2020 (GLOBE NEWSWIRE) -- WANdisco (LSE: WAND), the LiveData company, today announced the limited public preview availability of WANdisco LiveData Platform for Azure, a new service offering available on Microsoft Azure exclusively.

The WANdisco LiveData Platform features the company’s patented consensus engine which ensures data consistency, accuracy, and accessibility across any environment, be it on-premises, hybrid (on-premises and cloud), hybrid cloud, multi-region or multi-cloud. In short, enterprises looking to migrate their on-premises data lake to the cloud, may now turn to the WANdisco LiveData Platform on Azure for a turnkey data migration solution with zero business downtime.

Customers are able to leverage this new service and continue to enjoy the same seamless experience they have already with their existing Azure experience. The LiveData Platform services are fully integrated in the Azure Customer Portal, Azure CLI, and Azure Marketplace. Customers will have the same seamless billing experience through Azure Billing as they have with other native Azure services.

WANdisco is also announcing two service offerings available exclusively on the WANdisco LiveData Platform – LiveData Migrator for Azure and LiveData Plane for Azure. These two offerings work in conjunction to establish an active-active data plane consistency between an enterprise’s Big Data Hadoop environment located on-premises and in Azure Data Lake Storage. LiveData Migrator performs the initial bootstrapping through a one-time scan, and then feeds that into LiveData Plane to ensure that any changes (creates, updates, and deletes) are immediately captured after that point.

Additionally, LiveData Plane for Azure fully integrates with managed Hadoop environments such as Azure HDInsight.  The Hive plugin keeps operational meta stores in sync with changes that occur on the data plane, thereby ensuring end to end consistency.

Enterprises have either already embarked on their digital transformation journey or they plan to very, very soon. The reasons are unique to each organization, however, the data lake migration pattern usually falls into one of these scenario buckets:

One-Way Migration
Organizations intending to complete their on-premises migration (lift-and-shift or re-platform) inside a 12-18 month window, but will begin to make investments into standing up cloud-native solutions now to mitigate incurring future technical debt.