We performed a comparison between Apache Flink and Apache Pulsar 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."It provides us the flexibility to deploy it on any cluster without being constrained by cloud-based limitations."
"Easy to deploy and manage."
"Allows us to process batch data, stream to real-time and build pipelines."
"The documentation is very good."
"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."
"Apache Flink's best feature is its data streaming tool."
"Apache Flink allows you to reduce latency and process data in real-time, making it ideal for such scenarios."
"This is truly a real-time solution."
"The solution operates as a classic message broker but also as a streaming platform."
"There is room for improvement in the initial setup process."
"PyFlink is not as fully featured as Python itself, so there are some limitations to what you can do with it."
"The solution could be more user-friendly."
"In a future release, they could improve on making the error descriptions more clear."
"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."
"Apache Flink should improve its data capability and data migration."
"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."
"Amazon's CloudFormation templates don't allow for direct deployment in the private subnet."
"Documentation is poor because much of it is in Chinese with no English translation."
Apache Flink is ranked 5th in Streaming Analytics with 15 reviews while Apache Pulsar is ranked 12th in Streaming Analytics with 1 review. Apache Flink is rated 7.6, while Apache Pulsar 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 Apache Pulsar writes "The solution can mimic other APIs without changing a line of code". Apache Flink is most compared with Amazon Kinesis, Spring Cloud Data Flow, Databricks, Azure Stream Analytics and Google Cloud Dataflow, whereas Apache Pulsar is most compared with Apache Spark Streaming, Amazon Kinesis, Amazon MSK, Azure Stream Analytics and Google Cloud Dataflow.
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