We performed a comparison between Cloudera DataFlow and Informatica Data Engineering Streaming 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 initial setup was not so difficult"
"The most effective features are data management and analytics."
"DataFlow's performance is okay."
"This solution is very scalable and robust."
"It improves the performance."
"Although their workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages."
"It's an outdated legacy product that doesn't meet the needs of modern data analysts and scientists."
"It is not easy to use the R language. Though I don't know if it's possible, I believe it is possible, but it is not the best language for machine learning."
"Skill requirement is required. There is a learning curve."
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Cloudera DataFlow is ranked 13th in Streaming Analytics with 4 reviews while Informatica Data Engineering Streaming is ranked 15th in Streaming Analytics with 1 review. Cloudera DataFlow is rated 7.2, while Informatica Data Engineering Streaming is rated 8.0. The top reviewer of Cloudera DataFlow writes "Has good data management and analytics features". On the other hand, the top reviewer of Informatica Data Engineering Streaming writes "Helps with real-time data processing and improves decision-making overall". Cloudera DataFlow is most compared with Databricks, Confluent, Amazon MSK, Hortonworks Data Platform and Spring Cloud Data Flow, whereas Informatica Data Engineering Streaming is most compared with Google Cloud Dataflow, Apache Flink, Starburst Enterprise, Databricks and Fivetran.
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