We performed a comparison between Google Cloud 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."I don't need a server running all the time while using the tool. It is also easy to setup. The product offers a pay-as-you-go service."
"The most valuable features of Google Cloud Dataflow are the integration, it's very simple if you have the complete stack, which we are using. It is overall very easy to use, user-friendly friendly, and cost-effective if you know how to use it. The solution is very flexible for programmers, if you know how to do scripts or program in Python or any other language, it's extremely easy to use."
"The service is relatively cheap compared to other batch-processing engines."
"The solution allows us to program in any language we desire."
"It is a scalable solution."
"The most valuable features of Google Cloud Dataflow are scalability and connectivity."
"The product's installation process is easy...The tool's maintenance part is somewhat easy."
"The best feature of Google Cloud Dataflow is its practical connectedness."
"It improves the performance."
"I would like Google Cloud Dataflow to be integrated with IT data flow and other related services to make it easier to use as it is a complex tool."
"The authentication part of the product is an area of concern where improvements are required."
"The deployment time could also be reduced."
"Google Cloud Data Flow can improve by having full simple integration with Kafka topics. It's not that complicated, but it could improve a bit. The UI is easy to use but the experience could be better. There are other tools available that do a better job."
"When I deploy the product in local errors, a lot of errors pop up which are not always caught. The solution's error logging is bad. It can take a lot of time to debug the errors. It needs to have better logs."
"Google Cloud Dataflow should include a little cost optimization."
"The solution's setup process could be more accessible."
"The technical support has slight room for improvement."
"Skill requirement is required. There is a learning curve."
Earn 20 points
Google Cloud Dataflow is ranked 7th in Streaming Analytics with 10 reviews while Informatica Data Engineering Streaming is ranked 15th in Streaming Analytics with 1 review. Google Cloud Dataflow is rated 7.8, while Informatica Data Engineering Streaming is rated 8.0. The top reviewer of Google Cloud Dataflow writes "Easy to use for programmers, user-friendly, and scalable". On the other hand, the top reviewer of Informatica Data Engineering Streaming writes "Helps with real-time data processing and improves decision-making overall". Google Cloud Dataflow is most compared with Databricks, Apache NiFi, Amazon MSK, Amazon Kinesis and AWS Lambda, whereas Informatica Data Engineering Streaming is most compared with Apache Flink, Starburst Enterprise, Databricks, Mule Anypoint Platform and IBM InfoSphere DataStage.
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