We performed a comparison between Apache Spark Streaming and Software AG Apama based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics."As an open-source solution, using it is basically free."
"Apache Spark Streaming's most valuable feature is near real-time analytics. The developers can build APIs easily for a code-steaming pipeline. The solutions have an ecosystem of integration with other stock services."
"The solution is very stable and reliable."
"It's the fastest solution on the market with low latency data on data transformations."
"The solution is better than average and some of the valuable features include efficiency and stability."
"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 has features like checkpointing and Streaming API that are useful."
"Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows."
"The most valuable feature of the solution is the ability that it provides its users to handle different kinds of rules."
"It was resource-intensive, even for small-scale applications."
"The solution itself could be easier to use."
"We would like to have the ability to do arbitrary stateful functions in Python."
"The cost and load-related optimizations are areas where the tool lacks and needs improvement."
"In terms of improvement, the UI could be better."
"There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused."
"The service structure of Apache Spark Streaming can improve. There are a lot of issues with memory management and latency. There is no real-time analytics. We recommend it for the use cases where there is a five-second latency, but not for a millisecond, an IOT-based, or the detection anomaly-based. Flink as a service is much better."
"The initial setup is quite complex."
"The ease of development and maintenance should be enhanced, but it is difficult due to the use of the proprietary programming language in the product."
Apache Spark Streaming is ranked 8th in Streaming Analytics with 6 reviews while Software AG Apama is ranked 16th in Streaming Analytics with 1 review. Apache Spark Streaming is rated 8.0, while Software AG Apama is rated 7.0. The top reviewer of Apache Spark Streaming writes "Easy deployment as a cluster and good documentation". On the other hand, the top reviewer of Software AG Apama writes "A tool to send out promotional notifications that need to improve areas, like deployment and maintenance". Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics, Spring Cloud Data Flow, Confluent and Apache Pulsar, whereas Software AG Apama is most compared with Apache Flink, Oracle BAM and TIBCO Streambase CEP.
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