Confluent, Databricks, and Snowflake are trusted by thousands of enterprises to power critical workloads—each with a distinct focus: real-time streaming,…
Enterprise data lives in complex ecosystems—SAP, Oracle, Salesforce, ServiceNow, IBM Mainframes, and more. This article explores how Confluent and Databricks…
Confluent and Databricks enable a modern data architecture that unifies real-time streaming and lakehouse analytics. By combining shift-left principles with…
This blog explores how Confluent and Databricks address data integration and processing in modern architectures. Confluent provides real-time, event-driven pipelines…
Confluent and Databricks have redefined modern data architectures, growing beyond their Kafka and Spark roots. Confluent drives real-time operational workloads;…
In today's data-driven world, understanding data at rest versus data in motion is crucial for businesses. Data streaming frameworks like…
If you ask your favorite large language model, Microsoft Fabric appears to be the ultimate solution for any data challenge…
Data integration is a hard challenge in every enterprise. Batch processing and Reverse ETL are common practices in a data…
Data streaming is a new software category to process data in motion. Apache Kafka is the de facto standard used…
The concepts and architectures of a data warehouse, a data lake, and data streaming are complementary to solving business problems.…