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Amazon Kinesis vs. Azure Stream Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Kinesis
Score 9.6 out of 10
N/A
Amazon Kinesis is a streaming analytics suite for data intake from video or other disparate sources and applying analytics for machine learning (ML) and business intelligence.
$0.01
per GB data ingested / consumed
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
Pricing
Amazon KinesisAzure Stream Analytics
Editions & Modules
Amazon Kinesis Video Streams
$0.00850
per GB data ingested / consumed
Amazon Kinesis Data Streams
$0.04
per hour per stream
Amazon Kinesis Data Analytics
$0.11
per hour
Amazon Kinesis Data Firehose
tiered pricing starting at $0.029
per month first 500 TB ingested
Standard
$0.11
per hour with a 1 SU minimum
Dedicated
$0.11
per hour with a 36 SU minimum
Offerings
Pricing Offerings
Amazon KinesisAzure Stream Analytics
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details—Azure 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
Amazon KinesisAzure Stream Analytics
Considered Both Products
Amazon Kinesis
FC
Francisco Javier Castañeda Marroquín
CEO (Chief Executive Officer)
Chose Amazon Kinesis
Kinesis is oriented to streaming in a scalable way large volumes of information in real-time. Glue is more an ETL so it is not well suited for real-time applications while Beanstalk is more a simple container platform. Lambda could do the job but it would require a lot of …
Verified User
Anonymous
Chose Amazon Kinesis
The main benefit was around set up - incredibly easy to just start using Kinesis. Kinesis is a real-time data processing platform, while Kafka is more of a message queue system. If you only need a message queue from a limited source, Kafka may do the job. More complex use …
Verified User
Anonymous
Chose Amazon Kinesis
Actually we didn't select Kinesis, we were forced into using it because SQS wasn't yet supported by Lambda. Unlike Kinesis, SQS supports both FIFO and standard queues which let us control order of events processed, as well as handle retry logic, failover logic, and set up …
Azure Stream Analytics
Verified User
Anonymous
Chose Azure Stream Analytics
Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics
Features
Amazon KinesisAzure Stream Analytics
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Amazon Kinesis
8.3
Ratings
3% above category average
Azure Stream Analytics
6.1
Ratings
27% below category average
Real-Time Data Analysis10.00 Ratings7.00 Ratings
Data Ingestion from Multiple Data Sources9.00 Ratings7.00 Ratings
Low Latency9.00 Ratings8.00 Ratings
Integrated Development Tools9.00 Ratings2.00 Ratings
Data wrangling and preparation10.00 Ratings7.00 Ratings
Linear Scale-Out6.10 Ratings5.00 Ratings
Data Enrichment5.00 Ratings7.00 Ratings
Best Alternatives
Amazon KinesisAzure Stream Analytics
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 9.9 out of 10
Confluent
Confluent
Score 9.9 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 6.6 out of 10
Spotfire Streaming
Spotfire Streaming
Score 6.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon KinesisAzure Stream Analytics
Likelihood to Recommend
9.0
(0 ratings)
7.0
(0 ratings)
Support Rating
7.1
(0 ratings)
-
(0 ratings)
User Testimonials
Amazon KinesisAzure Stream Analytics
Likelihood to Recommend
Perfect for real-time data processing and streaming. Also, there's no need for any specific setup - you just start using it immediately and it easily integrates with the rest of AWS capabilities (like Redshift), although integration with Lambda could be better. You can make your overall analytics landscape way simpler with Kineses even if you have non-Amazon solutions like Tableau. It all integrates really well!
Verified User
Anonymous
Read full review
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
Read full review
Pros
  • Integrating with other Amazon services
  • Scaling requests
  • Totally serverless platform
  • Simple management
FC
Francisco Javier Castañeda Marroquín
CEO (Chief Executive Officer)
Read full review
  • 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
Read full review
Cons
  • Improve integration with AWS Lambda
  • Some duplicate records coming from the stream
Verified User
Anonymous
Read full review
  • Code competency is not that much effective
  • Ml models can't be integrated with stream analytics
Verified User
Anonymous
Read full review
Support Rating
The documentation was confusing and lacked examples. The streams suddenly stopped working with no explanation and there was no information in the logs. All these were more difficult when dealing with enhanced fan-out. In fact, we were about to abort the usage of Kinesis due to a misunderstanding with enhanced fan-out.
FC
Francisco Javier Castañeda Marroquín
CEO (Chief Executive Officer)
Read full review
No answers on this topic
Alternatives Considered
Kinesis is oriented to streaming in a scalable way large volumes of information in real-time. Glue is more an ETL so it is not well suited for real-time applications while Beanstalk is more a simple container platform. Lambda could do the job but it would require a lot of programming to accomplish the same as Kinesis. In fact, our solution employed the four elements for different tasks but using Kinesis as the message bus.
FC
Francisco Javier Castañeda Marroquín
CEO (Chief Executive Officer)
Read full review
Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics
Verified User
Anonymous
Read full review
Return on Investment
  • Caused us to need to re-engineer some basic re-try logic
  • Caused us to drop some content without knowing it
  • Made monitoring much more difficult
  • We eventually switched back to SQS because Kinesis is not the same as a Queue system
Verified User
Anonymous
Read full review
  • Very nice roi while using it.
  • Multiple integration is the best functionality
Verified User
Anonymous
Read full review
ScreenShots