Apache Spark Streaming was straightforward in terms of maintenance. It was actively developed, and migrating from an older to a newer version was quite simple.
Apache Spark Streaming, known for its efficiency and stability, provides near real-time analytics with low latency data transformations. It is suitable for competitive intelligence and workflow monitoring, extending to machine learning in a low-code environment. However, improvements are needed in user configuration for better business user focus, and initial setup can be complex. While resource-intensive, integrating event-level streaming could enhance capabilities, despite challenges with memory management and latency for real-time analytics.
