Overview
When to choose it: • Migrate legacy systems: Move from Oracle, MSSQL, PostgreSQL, or MySQL to a modern data warehouse • Maximize the value of PoC or PoV stage: Test Gen-AI-driven migration of complex logic before scaling • Modernize data platforms: Replace legacy warehouse solutions with Redshift for better performance and cost • Align with AWS MAP: Get structured support and incentives across all migration phases Why it works • Faster migration: Automation replaces manual SQL rewriting • Lower risk: Preserves business logic and reduces human error • Smart discovery: Automated assessment guides architecture and effort • Cloud-native output: Optimized Redshift SQL and dbt models with clear lineage • Secure by design: Fully AWS-native (ECS, S3, Bedrock) Deliverables System assessment and target architecture Migration plan, estimates, and team setup AWS environment and Redshift configuration (as needed) Data pipelines, migration, and transformations Targeted data validation, testing, and optimization
Highlights
- • End-to-end AWS MAP-aligned service • N-eXact Migrate for automated SQL-to-dbt/Redshift conversion • Multi-dialect support (Oracle, MSSQL, MySQL, PostgreSQL) • Built-in lineage, testing, and documentation • Production-ready environment in as early as 2 months, with the final timeline determined by the overall complexity
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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