Challenges with Redshift
While Redshift has served organizations well, its complexity, performance limitations, and scalability constraints now hinder business agility. Limited JSON support, lengthy planning cycles, and high maintenance requirements impact efficiency. AWS infrastructure lock-in restricts multi-platform flexibility.
Why move from Redshift to Snowflake
Snowflake’s cloud-native architecture, built for modern business needs, offers consumption-based pricing that separates compute from storage, reducing costs. Benefits include:
- Effortless semi-structured data processing
- Instant scaling capabilities
- Elimination of maintenance windows
- Multi-cloud platform operation
- Native data sharing with partners
- Python-based processing with AI/ML capabilities
Why Mastek?
We approach Redshift to Snowflake migrations with business understanding, not just technical expertise. Working as an extension of your team, we map data structures whilst minimizing operational disruption. Our methodology combines technical and industry experience to architect a comprehensive data strategy aligned with your business objectives. In addition, we conduct a NO COST Basecamp to develop a robust data modernization strategy addressing growing data volumes, enabling cloud migration, system consolidation, and AI readiness.
Benefits we deliver
- Seamless Auto Scaling for managing demand spikes without performance degradation
- Multi-Cloud Support eliminating vendor lock-in concerns
- Instant Elasticity matching computing resources to actual needs
- Native Data Sharing creating secure business opportunities with partners
No Manual Tuning or Maintenance with fully managed platform
Migration for a Leading Food Retailer
Mastek helped a large food retailer migrate to the Snowflake Kortex platform, with minimal business disruption while also transforming their data infrastructure for enhanced analytical performance. The implementation addressed performance and scalability challenges through a strategic phased approach. By leveraging proprietary accelerators with generic DBT frameworks, standardized macros, and RBAC templates, the company:
Achieved 60 - 70% automated DDL conversion
Converted 2,390 tables and views to Snowflake-compatible formats
Created DBT modules for 451 business stored procedures
Implemented advanced query optimization and automated A/B testing for data validation