Posts Tagged ‘ETL Cost Optimisation’
Your Biggest Budget Line Isn’t Tools – It’s Time Wasted
Many data teams waste budget by misusing senior engineering talent on firefighting tasks and poor tool choices, rather than focusing on high-value, strategic work. High-performing teams prioritise experienced hires, measure business impact, reduce reactive work, and use AI and tools strategically to maximise ROI and team effectiveness.
The Processing Paradox: Why Row-Based ETL Pricing Ignores How Analytics Actually Works
Modern ETL pricing models often charge based on row counts, which fundamentally misaligns with how analytical systems actually process data—via columnar methods focused on compute efficiency and performance. This disconnect not only creates technical debt and unpredictable costs but also diverts engineering resources away from optimisation and innovation toward managing arbitrary billing constraints.
The Hidden Business Cost of Row-Based ETL Pricing: When Growth Becomes a Liability
Row-based ETL pricing models create unpredictable, disproportionately high costs that penalize business growth, disrupt budgeting, and divert engineering resources from innovation to cost control. Performance-based pricing, aligned with actual infrastructure usage, offers a more predictable and strategic alternative that supports scalable data operations without financial volatility.