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 Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics."The documentation is very good."
"The setup was not too difficult."
"With Flink, it provides out-of-the-box checkpointing and state management. It helps us in that way. When Storm used to restart, sometimes we would lose messages. With Flink, it provides guaranteed message processing, which helped us. It also helped us with maintenance or restarts."
"Apache Flink's best feature is its data streaming tool."
"Easy to deploy and manage."
"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."
"It provides us the flexibility to deploy it on any cluster without being constrained by cloud-based limitations."
"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."
"The solution is beneficial on an enterprise level."
"Apache Flink should improve its data capability and data migration."
"PyFlink is not as fully featured as Python itself, so there are some limitations to what you can do with it."
"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."
"The solution could be more user-friendly."
"The machine learning library is not very flexible."
"There is room for improvement in the initial setup process."
"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."
"We have a machine learning team that works with Python, but Apache Flink does not have full support for the language."
"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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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.
