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Stream analytics for real time processing
October 30, 2023

Stream analytics for real time processing

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Azure Stream Analytics

Azure Stream Analytics is used to calculate the cycle time from the tags also it is responsible for data enrichment for further calculations.
  • Routing of data from multiple inputs to multiple output
  • You create your own user define function.
  • Intermediate query is working very effectively.
  • Code competency is not that much effective
  • Ml models can't be integrated with stream analytics
  • Very nice roi while using it.
  • Multiple integration is the best functionality
Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics

Do you think Azure Stream Analytics delivers good value for the price?

Yes

Are you happy with Azure Stream Analytics's feature set?

Yes

Did Azure Stream Analytics live up to sales and marketing promises?

Yes

Did implementation of Azure Stream Analytics go as expected?

No

Would you buy Azure Stream Analytics again?

Yes

Data enrichment is effectively done in stream analytics also checking the values with different functionality like windowing and group by clause is effectively working.

Azure Stream Analytics Feature Ratings

Streaming Analytics
6.1
Real-Time Data Analysis
7
Visualization Dashboards
Not Rated
Data Ingestion from Multiple Data Sources
7
Low Latency
8
Integrated Development Tools
2
Data wrangling and preparation
7
Linear Scale-Out
5
Data Enrichment
7