Azure Stream Analytics vs. Google Cloud Dataflow

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Stream Analytics
Score 8.0 out of 10
N/A
Microsoft offers Azure Stream Analytics for IoT and connected devices, supporting real-time analytics and reporting.
$0.11
per hour with a 1 SU minimum
Google Cloud Dataflow
Score 7.9 out of 10
N/A
Google offers Cloud Dataflow, a managed streaming analytics platform for real-time data insights, fraud detection, and other purposes.N/A
Pricing
Azure Stream AnalyticsGoogle Cloud Dataflow
Editions & Modules
Standard
$0.11
per hour with a 1 SU minimum
Dedicated
$0.11
per hour with a 36 SU minimum
No answers on this topic
Offerings
Pricing Offerings
Azure Stream AnalyticsGoogle Cloud Dataflow
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsAzure Stream Analytics is priced by the number of Streaming Units provisioned. A Streaming Unit represents the amount of memory and compute allocated to your resources.
More Pricing Information
Community Pulse
Azure Stream AnalyticsGoogle Cloud Dataflow
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Azure Stream AnalyticsGoogle Cloud Dataflow
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Azure Stream Analytics
6.1
1 Ratings
28% below category average
Google Cloud Dataflow
7.5
1 Ratings
8% below category average
Real-Time Data Analysis7.01 Ratings8.01 Ratings
Data Ingestion from Multiple Data Sources7.01 Ratings8.01 Ratings
Low Latency8.01 Ratings8.01 Ratings
Integrated Development Tools2.01 Ratings00 Ratings
Data wrangling and preparation7.01 Ratings00 Ratings
Linear Scale-Out5.01 Ratings7.01 Ratings
Data Enrichment7.01 Ratings7.01 Ratings
Machine Learning Automation00 Ratings7.01 Ratings
Best Alternatives
Azure Stream AnalyticsGoogle Cloud Dataflow
Small Businesses
IBM Streams
IBM Streams
Score 9.0 out of 10
IBM Streams
IBM Streams
Score 9.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 7.4 out of 10
Confluent
Confluent
Score 7.4 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 8.1 out of 10
Spotfire Streaming
Spotfire Streaming
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Stream AnalyticsGoogle Cloud Dataflow
Likelihood to Recommend
7.0
(1 ratings)
8.0
(1 ratings)
User Testimonials
Azure Stream AnalyticsGoogle Cloud Dataflow
Likelihood to Recommend
Microsoft
Data enrichment is effectively done in stream analytics also checking the values with different functionality like windowing and group by clause is effectively working.
Read full review
Google
Based on my experience, streaming / real time / machine learning / AI type of processing and batch processing which needs less transformation are very well suited. Work load that needs complex transformation / multiple hops gets very complicated to implement. New feature like Dataflow SQL option will come in handy for sql heavy users.
Read full review
Pros
Microsoft
  • Routing of data from multiple inputs to multiple output
  • You create your own user define function.
  • Intermediate query is working very effectively.
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Google
  • Streaming, Real time work load
  • Batch processing
  • Auto scaling
  • flexible pricing
Read full review
Cons
Microsoft
  • Code competency is not that much effective
  • Ml models can't be integrated with stream analytics
Read full review
Google
  • inbuild template options can be expanded
  • more data connector options
  • easy of use
Read full review
Alternatives Considered
Microsoft
Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics
Read full review
Google
Google Cloud Dataproc Cloud Datafusion
Read full review
Return on Investment
Microsoft
  • Very nice roi while using it.
  • Multiple integration is the best functionality
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Google
  • cost saving from managing our own data center for ETL servers
  • consumption based pricing
  • with auto scaling feature, we were able to expand components to support work load
Read full review
ScreenShots