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."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 provides us the flexibility to deploy it on any cluster without being constrained by cloud-based limitations."
"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."
"Apache Flink allows you to reduce latency and process data in real-time, making it ideal for such scenarios."
"Allows us to process batch data, stream to real-time and build pipelines."
"Apache Flink is meant for low latency applications. You take one event opposite if you want to maintain a certain state. When another event comes and you want to associate those events together, in-memory state management was a key feature for us."
"This is truly a real-time solution."
"Easy to deploy and manage."
"The solution is beneficial on an enterprise level."
"We have a machine learning team that works with Python, but Apache Flink does not have full support for the language."
"The state maintains checkpoints and they use RocksDB or S3. They are good but sometimes the performance is affected when you use RocksDB for checkpointing."
"The solution could be more user-friendly."
"PyFlink is not as fully featured as Python itself, so there are some limitations to what you can do with it."
"In a future release, they could improve on making the error descriptions more clear."
"In terms of improvement, there should be better reporting. You can integrate with reporting solutions but Flink doesn't offer it themselves."
"Apache Flink's documentation should be available in more languages."
"There is room for improvement in the initial setup process."
"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 Amazon Kinesis, Spring Cloud Data Flow, Databricks, Azure Stream Analytics and SAP Event Stream Processor, whereas SAS Event Stream Processing is most compared with Apache Spark Streaming.
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