Amazon Kinesis vs. Azure Stream Analytics

Amazon Kinesis

Azure Stream Analytics

Overview
Product	Rating	Most Used By	Product Summary	Starting 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 Kinesis

Azure 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 Kinesis	Azure Stream Analytics
Free Trial
No	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No 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 Kinesis	Azure Stream Analytics

Features

Amazon Kinesis

Azure 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 Analysis	10.00 Ratings	7.00 Ratings
Data Ingestion from Multiple Data Sources	9.00 Ratings	7.00 Ratings
Low Latency	9.00 Ratings	8.00 Ratings
Integrated Development Tools	9.00 Ratings	2.00 Ratings
Data wrangling and preparation	10.00 Ratings	7.00 Ratings
Linear Scale-Out	6.10 Ratings	5.00 Ratings
Data Enrichment	5.00 Ratings	7.00 Ratings

Best Alternatives
	Amazon Kinesis	Azure Stream Analytics
Small Businesses	IBM Streams (discontinued) Score 9.0 out of 10	IBM Streams (discontinued) Score 9.0 out of 10
Medium-sized Companies	Confluent Score 9.9 out of 10	Confluent Score 9.9 out of 10
Enterprises	Spotfire Streaming Score 6.6 out of 10	Spotfire Streaming Score 6.6 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Amazon Kinesis	Azure Stream Analytics
Likelihood to Recommend	9.0 (0 ratings)	7.0 (0 ratings)
Support Rating	7.1 (0 ratings)	- (0 ratings)

User Testimonials
	Amazon Kinesis	Azure 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! Incentivized 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. Incentivized Verified User Anonymous Read full review
Pros	Integrating with other Amazon services Scaling requests Totally serverless platform Simple management Incentivized 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. Incentivized Verified User Anonymous Read full review
Cons	Improve integration with AWS Lambda Some duplicate records coming from the stream Incentivized Verified User Anonymous Read full review	Code competency is not that much effective Ml models can't be integrated with stream analytics Incentivized 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. Incentivized 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. Incentivized 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 Incentivized 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 Incentivized Verified User Anonymous Read full review	Very nice roi while using it. Multiple integration is the best functionality Incentivized Verified User Anonymous Read full review
ScreenShots