Amazon Kinesis vs Azure Stream Analytics comparison

Amazon Web Services (AWS) and Microsoft are both solutions in the Streaming Analytics category. Amazon Web Services (AWS) is ranked #2 with an average rating of 7.8, while Microsoft is ranked #4 with an average rating of 8.5. Amazon Web Services (AWS) holds a 10.6% mindshare in SA, compared to Microsoft’s 12.6% mindshare. Additionally, 89% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 91% of Microsoft users who would recommend it.

Amazon Kinesis

Read 27 Amazon Kinesis reviews

8,771 Views
6,492 Comparison Views

89% willing to recommend

Azure Stream Analytics

Read 24 Azure Stream Analytics reviews

7,257 Views
6,175 Comparison Views

91% willing to recommend

Amazon Kinesis

Azure Stream Analytics

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Oct 8, 2024

Azure Stream Analytics and Amazon Kinesis are competing streaming analytics platforms. Amazon Kinesis appears to have the upper hand due to its advanced features that justify its cost.

Features: Azure Stream Analytics stands out for real-time data processing capabilities, seamless integration with Azure services, and competitive pricing. Amazon Kinesis offers flexibility, scalability, and a comprehensive feature set that gives it a slight advantage in feature richness due to its extensive customization options and ability to handle high volumes of data.

Room for Improvement: Azure Stream Analytics could enhance scalability, ease of use, and user interface. Amazon Kinesis may improve cost management, latency optimization, and resource allocation efficiency. Both benefit from feedback focusing on user experience and specific performance areas.

Ease of Deployment and Customer Service: Azure Stream Analytics provides a smoother setup process compared to Amazon Kinesis. Its customer support is positively rated. Amazon Kinesis, while having a more complex deployment, offers responsive service and detailed documentation.

Pricing and ROI: Azure Stream Analytics offers cost-effective setup options and good return on investment. Amazon Kinesis, despite higher setup costs, delivers significant ROI due to its powerful capabilities.

To learn more, read our detailed Amazon Kinesis vs. Azure Stream Analytics Report (Updated: October 2024).

Buyer's Guide

Amazon Kinesis vs. Azure Stream Analytics

October 2024

Download the complete report

Helped 816,406 peers since 2012

Categories and Ranking

Amazon Kinesis

Ranking in Streaming Analytics

2nd

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Azure Stream Analytics

Ranking in Streaming Analytics

4th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2024, in the Streaming Analytics category, the mindshare of Amazon Kinesis is 10.6%, down from 15.4% compared to the previous year. The mindshare of Azure Stream Analytics is 12.6%, down from 13.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

Rajni Kumar Jha

Senior Software Engineer at JPMorgan Chase & Co.

Used for media streaming and live-streaming data

It is not compulsory to use Amazon Kinesis. If you don't want to use the data streaming, you can use just the Kinesis data firehose. Using the Kinesis data firehose is compulsory because we can't store all chats and recordings in Amazon S3 without it. When a call comes in the Amazon Kinesis instance, it will go to Data Streams if we use it. Otherwise, it will go to the Kinesis data firehose, where we need to define the S3 bucket path, and it will go to Amazon S3. So, without the Kinesis data firehose, we can't store all the chats and recordings in Amazon S3. Using Amazon Kinesis totally depends upon the user's requirements. If you want to use live streaming for the data lake or data analyst team, you need to use Amazon Kinesis. If you don't want to use it, you can directly use the Kinesis data firehose, which will be stored in Amazon S3. Overall, I rate the solution an eight out of ten.

Read full review

Sudhendra Umarji

Technical Architect at Infosys

Easy to set up and user-friendly, but could be priced better

I haven't come across missing items. It does what I need it to do. The pricing is a little bit high. The UI should be a little bit better from a usability perspective. The endpoint, if you are outsourcing to a third party, should have easier APIs. I'd like to have more destination sources available to us.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable feature is that it has a pretty robust way of capturing things."

"The solution's technical support is flawless."

"The solution has the capacity to store the data anywhere from one day to a week and provides limitless storage for us."

"The most valuable feature of Amazon Kinesis is real-time data streaming."

"What turns out to be most valuable is its integration with Lambda functions because you can process the data as it comes in. As soon as data comes, you'll fire a Lambda function to process a trench of data."

"Amazon Kinesis has improved our ROI."

"What I like about Amazon Kinesis is that it's very effective for small businesses. It's a well-managed solution with excellent reporting. Amazon Kinesis is also easy to use, and even a novice developer can work with it, versus Apache Kafka, which requires expertise."

"Everything is hosted and simple."

More Amazon Kinesis pros

"The life cycle, report management and crash management features are great."

"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."

"Technical support is pretty helpful."

"The way it organizes data into tables and dashboards is very helpful."

"The solution's technical support is good."

"We use Azure Stream Analytics for simulation and internal activities."

"It's a product that can scale."

"I like the way the UI looks, and the real-time analytics service is aligned to this. That can be helpful if I have to use this on a production service."

More Azure Stream Analytics pros

Cons

"Snapshot from the the from the the stream of the data analytic I have already on the cloud, do a snapshot to not to make great or to get the data out size of the web service. But to stop the process and restart a few weeks later when I have more data or more available of the client teams."

"The tool should focus on having an alert system rather than having to use a third-party solution."

"One thing that would be nice would be a policy for increasing the number of Kinesis streams because that's the one thing that's constant. You can change it in real time, but somebody has to change it, or you have to set some kind of meter. So, auto-scaling of adding and removing streams would be nice."

"One area for improvement in the solution is the file size limitation of 10 Mb. My company works with files with a larger file size. The batch size and throughput also need improvement in Amazon Kinesis."

"Amazon Kinesis involved a more complex setup and configuration than Azure Event Hub."

"There are some kind of hard limits on Amazon Kinesis, and if you hit that, then you will get the throughput exceed error."

"In order to do a successful setup, the person handling the implementation needs to know the solution very well. You can't just come into it blind and with little to no experience."

"Could include features that make it easier to scale."

More Amazon Kinesis cons

"Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure."

"Early in the process, we had some issues with stability."

"There may be some issues when connecting with Microsoft Power BI because we are providing the input and output commands, and there's a chance of it being delayed while connecting."

"Azure Stream Analytics could improve by having clearer metrics as to the scale, more metrics around the data set size that is flowing through it, and performance tuning recommendations."

"We would like to have centralized platform altogether since we have different kind of options for data ingestion. Sometimes it gets difficult to manage different platforms."

"One area that could use improvement is the handling of data validation. Currently, there is a review process, but sometimes the validation fails even before the job is executed. This results in wasted time as we have to rerun the job to identify the failure."

"The UI should be a little bit better from a usability perspective."

"If something goes wrong, it's very hard to investigate what caused it and why."

More Azure Stream Analytics cons

Pricing and Cost Advice

"Amazon Kinesis pricing is sometimes reasonable and sometimes could be better, depending on the planning, so it's a five out of ten for me."

"The solution's pricing is fair."

"The fee is based on the number of hours the service is running."

"Amazon Kinesis is an expensive solution."

"The tool's entry price is cheap. However, pricing increases with data volume."

"The pricing depends on the use cases and the level of usage. If you wanted to use Kinesis for different use cases, there's definitely a cheaper base cost involved. However, it's not entirely cheap, as different use cases might require different levels of Kinesis usage."

"Under $1,000 per month."

"The product falls on a bit of an expensive side."

More Amazon Kinesis pricing and cost advice

"The product's price is at par with the other solutions provided by the other cloud service providers in the market."

"The current price is substantial."

"The cost of this solution is less than competitors such as Amazon or Google Cloud."

"I rate the price of Azure Stream Analytics a four out of five."

"The licensing for this product is payable on a 'pay as you go' basis. This means that the cost is only based on data volume, and the frequency that the solution is used."

"There are different tiers based on retention policies. There are four tiers. The pricing varies based on steaming units and tiers. The standard pricing is $10/hour."

"When scaling up, the pricing for Azure Stream Analytics can get relatively high. Considering its capabilities compared to other solutions, I would rate it a seven out of ten for cost. However, we've found ways to optimize costs using tools like Databricks for specific tasks."

"Azure Stream Analytics is a little bit expensive."

More Azure Stream Analytics pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Streaming Analytics solutions are best for your needs.

See recommendations

816,406 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

18%

Financial Services Firm

18%

Manufacturing Company

10%

Retailer

Computer Software Company

15%

Financial Services Firm

14%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Amazon Kinesis?

Amazon Kinesis's main purpose is to provide near real-time data streaming at a consistent 2Mbps rate, which is really impressive.

See all answers

What is your experience regarding pricing and costs for Amazon Kinesis?

I think for us, with Amazon Kinesis, if we have to set up our own Kafka or cluster, it will be very time-consuming. If one considers the aforementioned aspect, Amazon Kinesis is a cheap tool.

See all answers

What needs improvement with Amazon Kinesis?

There are some kind of hard limits on Amazon Kinesis, and if you hit that, then you will get the throughput exceed error. We have to deal with and reduce how many consumers are hitting Amazon Kines...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

See all answers

What is your experience regarding pricing and costs for Azure Stream Analytics?

When scaling up, the pricing for Azure Stream Analytics can get relatively high. Considering its capabilities compared to other solutions, I would rate it a seven out of ten for cost. However, we'v...

See all answers

What needs improvement with Azure Stream Analytics?

Azure Stream Analytics is challenging to customize because it's not very flexible. It's good for quickly setting up and implementing solutions, but for building complex data pipelines and engineeri...

See all answers

Comparisons

Confluent vs Amazon Kinesis

Compared 23% of the time

Amazon MSK vs Amazon Kinesis

Compared 15% of the time

Apache Flink vs Amazon Kinesis

Compared 12% of the time

Apache Spark Streaming vs Amazon Kinesis

Compared 6% of the time

Google Cloud Dataflow vs Amazon Kinesis

Compared 5% of the time

More Amazon Kinesis Competitors

Databricks vs Azure Stream Analytics

Compared 27% of the time

Amazon MSK vs Azure Stream Analytics

Compared 19% of the time

Apache Flink vs Azure Stream Analytics

Compared 12% of the time

Apache Spark vs Azure Stream Analytics

Compared 5% of the time

Confluent vs Azure Stream Analytics

Compared 3% of the time

More Azure Stream Analytics Competitors

Product Reports

Buyer's Guide

Amazon Kinesis

November 2024

Download Amazon Kinesis product report

Buyer's Guide

Azure Stream Analytics

November 2024

Download Azure Stream Analytics product report

Also Known As

Amazon AWS Kinesis, AWS Kinesis, Kinesis

ASA

Learn More

Amazon Web Services (AWS)

Microsoft

Overview

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.

Azure Stream Analytics is a robust real-time analytics service that has been designed for critical business workloads. Users are able to build an end-to-end serverless streaming pipeline in minutes. Utilizing SQL, users are able to go from zero to production with a few clicks, all easily extensible with unique code and automatic machine learning abilities for the most advanced scenarios.

Azure Stream Analytics has the ability to analyze and accurately process exorbitant volumes of high-speed streaming data from numerous sources at the same time. Patterns and scenarios are quickly identified and information is gathered from various input sources, such as social media feeds, applications, clickstreams, sensors, and devices. These patterns can then be implemented to trigger actions and launch workflows, such as feeding data to a reporting tool, storing data for later use, or creating alerts. Azure Stream Analytics is also offered on Azure IoT Edge runtime, so the data can be processed on IoT devices.

Top Benefits

User friendly: Azure Stream Analytics is very straightforward and easy to use. Out of the box and with a few clicks, users are able to connect to numerous sources and sinks, and easily develop an end-to-end pipeline. Stream Analytics can easily connect to Azure IoT Hub and Azure Event Hub for streaming ingestion, in addition to connecting with Azure Blob storage for historical data ingestion.
Flexible deployment: For low-latency analytics, Azure Stream Analytics can run on Azure Stack or IoT edge. For large-scale analytics, the solution can run in the cloud. Azure Stream Analytics uses the same query language and tools for both the cloud and the edge, facilitating an easier process for developers to design exceptional hybrid architectures for streaming processes.
Cost-effective: With Azure Stream Analytics, users only pay for the streaming units they consume; there are no upfront costs. Users can easily scale up or down as needed; there is no commitment or cluster provisioning.
Trustworthy: Azure Stream Analytics guarantees event processing to be 99.99% available with a minute level of granularity. Azure Stream Analytics has embedded recovery capabilities and checkpoints to keep things running smoothly at all times. Events are never lost with Azure Stream Analytics at-least once delivery of events and exactly one event processing.

Reviews from Real Users

“Azure Stream Analytics is something that you can use to test out streaming scenarios very quickly in the general sense and it is useful for IoT scenarios. If I was to do a project with IoT and I needed a streaming solution, Azure Stream Analytics would be a top choice. The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex.” - Olubisi A., Team Lead at a tech services company.

“It's used primarily for data and mining - everything from the telemetry data side of things. It's great for streaming and makes everything easy to handle. The streaming from the IoT hub and the messaging are aspects I like a lot.” - Sudhendra U., Technical Architect at Infosys

Sample Customers

Zillow, Netflix, Sonos

Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks

Buyer's Guide

Amazon Kinesis vs. Azure Stream Analytics

October 2024

Free Report: Amazon Kinesis vs. Azure Stream Analytics

Find out what your peers are saying about Amazon Kinesis vs. Azure Stream Analytics and other solutions. Updated: October 2024.

DOWNLOAD NOW

816,406 professionals have used our research since 2012.

See our Amazon Kinesis vs. Azure Stream Analytics report.

See our list of best Streaming Analytics vendors.

We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.