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WANdisco LiveAnalytics Offers Constant Data Analytics During Cloud Migration

Solution offers uninterrupted business intelligence insights as enterprises migrate from on-premises Hadoop to cloud-based Spark-based analytics.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

WANdisco has released LiveAnalytics, which ensures uninterrupted business insights by migrating data from on-premises Hadoop environments into Spark-based analytics in the cloud, such as Databricks. LiveAnalytics uniquely allows both migrated and migrating data to be immediately and continuously available for analysis. 

LiveAnalytics works in tandem with WANdisco’s LiveMigrator, its petabyte-scale, non-blocking, single scan data migration technology that automatically enables enterprises’ on-premises data to be consistent with migrated cloud-based data. By using LiveAnalytics with LiveMigrator, business operations and analytics are “business as usual” as data shifts to the clouda process that can take months or even years for enterprises. 

The LiveData Solution Suite

  1. LiveMigrator: Enabling Single Scan, Non-blocking Movement to the Cloud
    Migrates big production system data to the cloud at scale with no application downtime and no risk of data loss, even when data sets are under active change.

  2. LiveAnalytics: Continuous Data Analytics During Cloud Migration
    Migrates analytical data from on-premises Hadoop environments into cloud-based Databricks environments.

  3. LiveData for Hybrid and Multicloud
    WANdisco Fusion ensures enterprises avoids large production cutovers by enabling hybrid cloud as required. Once data is in the cloud, enterprises can set up multi-region or multi-vendor cloud data architectures that guarantee data consistency at any scale across any geographic footprint. 

For more information on WANdisco, visit

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