Infoworks.io announced Infoworks Replicator 4.0, enabling migration of on-premises Hadoop data lakes to the cloud three times faster with one-third of the resources required of traditional approaches.
Infoworks Replicator makes obsolete hand-coding and labour-intensive legacy point tool processes to enable cloud data migration with fewer specialised resources at a lower cost. By automating the process, data and metadata are rapidly migrated, and scarce expensive data talent is freed to focus on higher-value business priorities.
Replicator runs as a service, maintaining continuous operation and synchronisation between on-premises Hadoop and cloud clusters to ensure consistency and continuity. Replicator enables migrations of petabytes of data without risk of data loss or business disruption; automated error handling and fault tolerance mitigate the impact of network and node failures for seamless migration.
“Our differentiated approach to the high-speed computation of changes and differences between the on-premises Hadoop cluster and the cluster in the cloud changes the game. We rethought the approach to data migration to meet modern needs of scale and speed, which were previously unachievable. Automation is essential to the success of any large-scale data migration,” said Amar Arsikere, Chief Product Officer, CTO and Co-Founder, Infoworks.
Designed for large-scale hybrid and multi-cloud environments, Infoworks Replicator is extensible to the entire Infoworks Platform. Infoworks provides a comprehensive solution for establishing a modern automated data platform – enabling agility, scale, and simplicity from initial cloud migration to subsequent enterprise-wide data operations and orchestration.
