Why streaming data is essential to empower the ‘Modern Data Stack'

The case for streaming over batch data continues to strengthen as more companies adopt modern data stacks built around streaming and stream processing. Data teams moving towards streaming benefit from improved data timeliness, quality, cost savings, and reduced operational overhead. Streaming pipelines enable real-time applications, enhance data completeness through CDC, and allow for pre-aggregation and enrichment of data in transit, leading to significant storage and compute cost savings. Additionally, stream processing can help maintain data integrity during downtime and ensure a more reliable data interface for business decisions.