TrustRadius Insights for Apache Spark Streaming are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Valuable tool for data streaming: Users find Spark Streaming to be a valuable tool for easily streaming data, particularly after using Kafka. It is especially useful for handling moderate amounts of data.
In-depth understanding of big data processing: Users appreciate that Spark Streaming provides comprehensive knowledge of big data and is easy to implement by configuring existing parameters.
Seamless integration with Apache Spark ecosystem: Reviewers commend the seamless integration of Spark Streaming with the Apache Spark ecosystem, granting access to a wide range of libraries and tools. They also find the programming model user-friendly, while the fault tolerance mechanisms ensure dependable data processing even in the face of failures.
Apache Spark Streaming is a great tool and is being utilized in our company to do batch processing which is its specialization. It is user-friendly. Using it we can even process our massive data at a very fast speed and it uses complicated algorithms. It has enabled us in saving time.
Pros
It is amazing in solving complicated transformative logic.
It is straightforward to program.
It is a very quick tool.
It processes large data within a fraction of seconds.
Cons
There must be more documentation.
It is a profoundly complex tool.
Its in-memory processing consumes massive memory.
Likelihood to Recommend
Apache Spark Streaming is a tool that we are using for almost a year and is excellent in managing batch processing. It is user-friendly. Using it, we can even process our massive data in fractions of seconds. Its pricing is its other plus point. Only its In-memory processing is its demerit as it occupies a large memory.