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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 8.6 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
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
27% below category average
Google Cloud Dataflow
7.3
2 Ratings
9% below category average
Real-Time Data Analysis7.01 Ratings8.02 Ratings
Data Ingestion from Multiple Data Sources7.01 Ratings9.02 Ratings
Low Latency8.01 Ratings9.02 Ratings
Integrated Development Tools2.01 Ratings6.01 Ratings
Data wrangling and preparation7.01 Ratings7.01 Ratings
Linear Scale-Out5.01 Ratings8.02 Ratings
Data Enrichment7.01 Ratings8.02 Ratings
Visualization Dashboards00 Ratings5.01 Ratings
Machine Learning Automation00 Ratings6.02 Ratings
Best Alternatives
Azure Stream AnalyticsGoogle Cloud Dataflow
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 9.2 out of 10
Confluent
Confluent
Score 9.2 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 5.2 out of 10
Spotfire Streaming
Spotfire Streaming
Score 5.2 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.
Verified User
Anonymous
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Google
It is best in cases where you have batch as well as streaming data. Also in some cases where you have batch data right now and in future you will get streaming data. In those cases Dataflow is very good. Also in cases where most of your infra is on GCP. It might not be good when you already are on AWS or Azure. And also you want in-depth control over security and management. Then you can directly use Apache beam over Dataflow.
Verified User
Anonymous
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Pros
Microsoft
  • Routing of data from multiple inputs to multiple output
  • You create your own user define function.
  • Intermediate query is working very effectively.
Verified User
Anonymous
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Google
  • Streaming, Real time work load
  • Batch processing
  • Auto scaling
  • flexible pricing
Sathish Palanivel(He/Him) | TrustRadius Reviewer
Read full review
Cons
Microsoft
  • Code competency is not that much effective
  • Ml models can't be integrated with stream analytics
Verified User
Anonymous
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Google
  • More templates for Bigquery and App Engine. There is only limited options for templates so the things we use can limit.
  • I would like native connectors for Excel (XLSX) to reduce the need for custom wrappers in financial pipelines.
  • Debugging Google Cloud Dataflow using only logs in Cloud Logging can be overwhelming sometimes, and it’s not always obvious which specific element in the flow caused a failure. IT uses a lot of time.
Verified User
Anonymous
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Usability
Microsoft
No answers on this topic
Google
It really saved a lot of time and it's flexibility really can give you infra which is future-proof for most of the use cases may it be streaming or batch data. And with this you can avoid use of resource-heavy big data offerings.
Verified User
Anonymous
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Alternatives Considered
Microsoft
Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics
Verified User
Anonymous
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Google
Google Cloud Dataproc Cloud Datafusion
Sathish Palanivel(He/Him) | TrustRadius Reviewer
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Return on Investment
Microsoft
  • Very nice roi while using it.
  • Multiple integration is the best functionality
Verified User
Anonymous
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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
Sathish Palanivel(He/Him) | TrustRadius Reviewer
Read full review
ScreenShots