Posts Tagged ‘ETL migration’
How to Escape Your ETL Vendor Without Risk or Disruption
Most data teams stay locked into overpriced ETL contracts, overlooking hidden costs like wasted engineering hours, volume-based penalties, inefficiency, and auto-renewal traps. Matatika’s Mirror Mode eliminates migration risk by running old and new systems in parallel, proving savings before switching, and offering performance-based pricing that cuts ETL costs by 30–60%.
Data Lake vs Data Warehouse: What’s the Difference and Which Should You Choose?
Many organisations feel forced to choose between a data lake or a data warehouse due to cost, complexity, or skill constraints, often settling for suboptimal setups that limit agility and inflate costs. Leading data teams are now adopting hybrid lakehouse architectures and transition tools like Mirror Mode to unify storage, improve analytics speed, and cut spend, without the disruption of traditional migrations.
Trapped by Your ETL Tool? How Mirror Mode Helps You Switch ETL Tools Without Risk
The blog highlights how legacy ETL tools lock teams into costly, inefficient row-based pricing and risky migrations. Matatika offers a solution with Mirror Mode, allowing companies to run both ETL systems in parallel—risk-free and free until go-live. This eliminates disruption, double payments, and uncertainty. With transparent, performance-based pricing, Matatika typically cuts ETL costs by 40–60% while improving speed and support, giving data and finance teams a safer, smarter path to switch.