Databricks, a leading platform for data engineering and batch processing, has introduced DeltaStream, a native integration that enhances real-time data processing capabilities by incorporating Apache Flink and ClickHouse directly within its user interface. This new integration allows users to move beyond the limitations of micro-batch processing to achieve true continuous streaming with sub-second latency, crucial for applications like fraud detection and dynamic pricing. DeltaStream provides unprecedented visibility into streaming data sources such as Kafka and Kinesis, enabling users to explore and inspect data in real-time without extensive ingestion logic. The integration also ensures continuously updated data in Iceberg tables and offers real-time materialized views powered by ClickHouse for fast analytics, effectively bridging the gap between long-term data storage and ultra-fast operational analytics. This advancement empowers data teams to develop real-time applications within the familiar Databricks environment, eliminating the need to compromise on latency while maintaining the benefits of the Lakehouse ecosystem.