We performed a comparison between Azure Stream Analytics and Google Cloud Dataflow based on real PeerSpot user reviews.
Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable features are the IoT hub and the Blob storage."
"Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time."
"The solution's technical support is good."
"Technical support is pretty helpful."
"We use Azure Stream Analytics for simulation and internal activities."
"The way it organizes data into tables and dashboards is very helpful."
"The solution's most valuable feature is its ability to create a query using SQ."
"The solution has a lot of functionality that can be pushed out to companies."
"The best feature of Google Cloud Dataflow is its practical connectedness."
"Google Cloud Dataflow is useful for streaming and data pipelines."
"It is a scalable solution."
"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 solution allows us to program in any language we desire."
"The support team is good and it's easy to use."
"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 product's installation process is easy...The tool's maintenance part is somewhat easy."
"The solution's interface could be simpler to understand for non-technical people."
"The solution doesn't handle large data packets very efficiently, which could be improved upon."
"Easier scalability and more detailed job monitoring features would be helpful."
"Azure Stream Analytics could improve by having clearer metrics as to the scale, more metrics around the data set size that is flowing through it, and performance tuning recommendations."
"There may be some issues when connecting with Microsoft Power BI because we are providing the input and output commands, and there's a chance of it being delayed while connecting."
"It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data. I can't customize or edit the data or do some queries. All queries need to be done in the Azure Stream Analytics."
"I would like to have a contact individual at Microsoft."
"The solution offers a free trial, however, it is too short."
"The deployment time could also be reduced."
"Google Cloud Dataflow should include a little cost optimization."
"They should do a market survey and then make improvements."
"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."
"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."
"The solution's setup process could be more accessible."
"The authentication part of the product is an area of concern where improvements are required."
"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."
Azure Stream Analytics is ranked 3rd in Streaming Analytics with 22 reviews while Google Cloud Dataflow is ranked 7th in Streaming Analytics with 10 reviews. Azure Stream Analytics is rated 8.2, while Google Cloud Dataflow is rated 7.8. The top reviewer of Azure Stream Analytics writes "Easy to set up and user-friendly, but could be priced better". On the other hand, the top reviewer of Google Cloud Dataflow writes "Easy to use for programmers, user-friendly, and scalable". Azure Stream Analytics is most compared with Amazon Kinesis, Databricks, Amazon MSK, Apache Flink and Apache NiFi, whereas Google Cloud Dataflow is most compared with Databricks, Apache NiFi, Amazon MSK, Amazon Kinesis and Apache Spark. See our Azure Stream Analytics vs. Google Cloud Dataflow report.
See our list of best Streaming Analytics vendors.
We monitor all Streaming Analytics 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.