We performed a comparison between Apache NiFi and Google Cloud Dataflow based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service."Visually, this is a good product."
"The user interface is good and makes it easy to design very popular workflows."
"The initial setup is very easy. I would rate my experience with the initial setup a ten out of ten, where one point is difficult, and ten points are easy."
"The initial setup is very easy."
"We can integrate the tool with other applications easily."
"The most valuable feature has been the range of clients and the range of connectors that we could use."
"It's an automated flow, where you can build a flow from source to destination, then do the transformation in between."
"The most valuable features of this solution are ease of use and implementation."
"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 service is relatively cheap compared to other batch-processing engines."
"The support team is good and it's easy to use."
"The most valuable features of Google Cloud Dataflow are scalability and connectivity."
"Google Cloud Dataflow is useful for streaming and data pipelines."
"The product's installation process is easy...The tool's maintenance part is somewhat easy."
"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 best feature of Google Cloud Dataflow is its practical connectedness."
"There is room for improvement in integration with SSO. For example, NiFi does not have any integration with SSO. And if I want to give some kind of rollback access control across the organization. That is not possible."
"The tool should incorporate more tutorials for advanced use cases. It has tutorials for simple use cases."
"There should be a better way to integrate a development environment with local tools."
"I think the UI interface needs to be more user-friendly."
"The overall stability of this solution could be improved. In a future release, we would like to have access to more features that could be used in a parallel way. This would provide more freedom with processing."
"More features must be added to the product."
"We run many jobs, and there are already large tables. When we do not control NiFi on time, all reports fail for the day. So it's pretty slow to control, and it has to be improved."
"There are some claims that NiFi is cloud-native but we have tested it, and it's not."
"Google Cloud Dataflow should include a little cost optimization."
"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."
"The authentication part of the product is an area of concern where improvements are required."
"The solution's setup process could be more accessible."
"They should do a market survey and then make improvements."
"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."
"There are certain challenges regarding the Google Cloud Composer which can be improved."
"The deployment time could also be reduced."
Apache NiFi is ranked 8th in Compute Service with 11 reviews while Google Cloud Dataflow is ranked 7th in Streaming Analytics with 10 reviews. Apache NiFi is rated 7.8, while Google Cloud Dataflow is rated 7.8. The top reviewer of Apache NiFi writes "Allows the creation and use of custom functions to achieve desired functionality but limitation in handling monthly transactions due to a lack of partitioning for dates". On the other hand, the top reviewer of Google Cloud Dataflow writes "Easy to use for programmers, user-friendly, and scalable". Apache NiFi is most compared with AWS Lambda, Apache Spark, Azure Stream Analytics, Apache Storm and AWS Fargate, whereas Google Cloud Dataflow is most compared with Databricks, Amazon MSK, Amazon Kinesis, Spring Cloud Data Flow and Apache Flink.
We monitor all Compute Service 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.
