Batch Processing Archives

Confluent and Databricks for Data Integration and Stream Processing

1.9K views
10 minute read

Confluent Data Streaming Platform vs. Databricks Data Intelligence Platform for Data Integration and Processing

ByKai Waehner
5. May 2025

This blog explores how Confluent and Databricks address data integration and processing in modern architectures. Confluent provides real-time, event-driven pipelines connecting operational systems, APIs, and batch sources with consistent, governed data flows. Databricks specializes in large-scale batch processing, data enrichment, and AI model development. Together, they offer a unified approach that bridges operational and analytical workloads. Key topics include ingestion patterns, the role of Tableflow, the shift-left architecture for earlier data validation, and real-world examples like Uniper’s energy trading platform powered by Confluent and Databricks.

3.4K views
5 minute read

The Top 20 Problems with Batch Processing (and How to Fix Them with Data Streaming)

ByKai Waehner
1. April 2025

Batch processing introduces delays, complexity, and data quality issues that modern businesses can no longer afford. This article outlines the most common problems with batch workflows—ranging from outdated insights to compliance risks—and illustrates each with real-world examples. It also highlights how real-time data streaming offers a more reliable, scalable, and future-proof alternative.