Technology companies depend on data flowing between product telemetry, transactional databases, billing systems, customer platforms, and analytics environments. These systems often evolve independently as products scale, creating fragmented pipelines and inconsistent metrics.

As companies introduce AI features, real-time personalization, and usage-based pricing, the need for dependable, current data becomes foundational. Product decisions, customer-facing features, and internal reporting all rely on pipelines that must operate reliably at scale.