We performed a comparison between Apache Flink and SAS Event Stream Processing based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics."This is truly a real-time solution."
"Apache Flink's best feature is its data streaming tool."
"Easy to deploy and manage."
"The event processing function is the most useful or the most used function. The filter function and the mapping function are also very useful because we have a lot of data to transform. For example, we store a lot of information about a person, and when we want to retrieve this person's details, we need all the details. In the map function, we can actually map all persons based on their age group. That's why the mapping function is very useful. We can really get a lot of events, and then we keep on doing what we need to do."
"The top feature of Apache Flink is its low latency for fast, real-time data. Another great feature is the real-time indicators and alerts which make a big difference when it comes to data processing and analysis."
"The product helps us to create both simple and complex data processing tasks. Over time, it has facilitated integration and navigation across multiple data sources tailored to each client's needs. We use Apache Flink to control our clients' installations."
"It is user-friendly and the reporting is good."
"It provides us the flexibility to deploy it on any cluster without being constrained by cloud-based limitations."
"The solution is beneficial on an enterprise level."
"There is a learning curve. It takes time to learn."
"In terms of stability with Flink, it is something that you have to deal with every time. Stability is the number one problem that we have seen with Flink, and it really depends on the kind of problem that you're trying to solve."
"Apache Flink should improve its data capability and data migration."
"The solution could be more user-friendly."
"We have a machine learning team that works with Python, but Apache Flink does not have full support for the language."
"Apache Flink's documentation should be available in more languages."
"In terms of improvement, there should be better reporting. You can integrate with reporting solutions but Flink doesn't offer it themselves."
"Amazon's CloudFormation templates don't allow for direct deployment in the private subnet."
"The persistence could be better."
Apache Flink is ranked 5th in Streaming Analytics with 15 reviews while SAS Event Stream Processing is ranked 14th in Streaming Analytics with 1 review. Apache Flink is rated 7.6, while SAS Event Stream Processing is rated 8.0. The top reviewer of Apache Flink writes "A great solution with an intricate system and allows for batch data processing". On the other hand, the top reviewer of SAS Event Stream Processing writes "A solution with useful windowing features and great for operations and marketing". Apache Flink is most compared with Spring Cloud Data Flow, Amazon Kinesis, Databricks, Azure Stream Analytics and IBM Streams, whereas SAS Event Stream Processing is most compared with Apache Spark Streaming.
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We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.