Automatically scans and catalogs legacy data sources, including ETL pipelines, scheduler jobs, and downstream consuming applications
Automatically assesses legacy application workloads to know exactly what code types and objects are present in order to plan effectively
Automates the translation of complex workloads when executing your migration to the cloud – including SQL, Stored Procedures, ETL etc.
Automates data validation and hash-level comparison between the legacy application and cloud environment, to accelerate testing cycles
Teradata Migration
Netezza Migration
ETL Migration
Migrate to Snowflake
Migrate to Amazon Redshift
By Source System
By Cloud Target
By Migration Stage
Case Studies
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Recently named by The Globe and Mail as Canada’s hottest cloud start-up company, Next Pathway automates the end-to-end challenges our customers experience when migrating applications to the cloud.
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Map your legacy EDW for your Microsoft Azure cloud target at an accelerated pace.
Implement an end-to-end migration to Snowflake 40% faster.
Whether the attraction is increased operational efficiencies, ability to perform advanced analytics, or simply cost containment and getting out of the data center, there are countless benefits companies know and realize.
