The freshness gap: uniting real-time and batch analytics
Near-real-time CDC analytics costs are driven far more by continuously reconciling and maintaining current-state tables than by data volume itself, and Streambased argues that decoupling freshness from commit cadence can reduce those costs by an order of magnitude while simplifying architecture.
The cost structure of near-real-time CDC analytics
Near-real-time CDC analytics costs are driven far more by continuously reconciling and maintaining current-state tables than by data volume itself, and Streambased argues that decoupling freshness from commit cadence can reduce those costs by an order of magnitude while simplifying architecture.