Apache Spark Streaming vs Software AG Apama comparison

"It's the fastest solution on the market with low latency data on data transformations."

"Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows."

"As an open-source solution, using it is basically free."

"The solution is very stable and reliable."

"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."

"Apache Spark Streaming has features like checkpointing and Streaming API that are useful."

"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."

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

"The most valuable feature of the solution is the ability that it provides its users to handle different kinds of rules."

"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 solution itself could be easier to use."

"The debugging aspect could use some improvement."

"In terms of improvement, the UI could be better."

"The cost and load-related optimizations are areas where the tool lacks and needs improvement."

"We would like to have the ability to do arbitrary stateful functions in Python."

"It was resource-intensive, even for small-scale applications."

"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."

"Spark is an affordable solution, especially considering its open-source nature."

"On a scale from one to ten, where one is expensive, or not cost-effective, and ten is cheap, I rate the price a seven."

"I was using the open-source community version, which was self-hosted."

"People pay for Apache Spark Streaming as a service."

"A commercial license is required to operate Software AG Apama."