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."Apache Flink allows you to reduce latency and process data in real-time, making it ideal for such scenarios."
"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."
"It provides us the flexibility to deploy it on any cluster without being constrained by cloud-based limitations."
"Apache Flink's best feature is its data streaming tool."
"Allows us to process batch data, stream to real-time and build pipelines."
"The setup was not too difficult."
"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."
"The solution operates as a classic message broker but also as a streaming platform."
"There is a learning curve. It takes time to learn."
"Apache Flink should improve its data capability and data migration."
"One way to improve Flink would be to enhance integration between different ecosystems. For example, there could be more integration with other big data vendors and platforms similar in scope to how Apache Flink works with Cloudera. Apache Flink is a part of the same ecosystem as Cloudera, and for batch processing it's actually very useful but for real-time processing there could be more development with regards to the big data capabilities amongst the various ecosystems out there."
"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."
"There is room for improvement in the initial setup process."
"The solution could be more user-friendly."
"Apache Flink's documentation should be available in more languages."
"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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