Apache Spark Streaming Reviews

The platform’s most valuable feature for processing real-time data is its ability to handle continuous data streams.

The product's event handling capabilities, particularly compared to Kaspersky, need improvement. Integrating event-level streaming capabilities could be beneficial. This aligns with the idea of expanding Spark's functionality to cover unaddressed areas, potentially enhancing its competitiveness.

We have been using Apache Spark Streaming for five years.

Spark is an affordable solution, especially considering its open-source nature. However, it could use support from experienced companies to resolve any issues effectively.

Spark does not encounter integration issues, particularly due to its utilization of JDBC connectors. These connectors facilitate seamless integration with third-party solutions. Furthermore, successful integration with tools like SAP HANA indicates its versatility in handling various data sources. Additionally, its performance surpasses Informatica in certain scenarios, especially when real-time streaming capabilities are crucial. It remains a preferred choice for businesses requiring efficient real-time data processing.

I rate it an eight.