AWS Lambda vs Azure Stream Analytics comparison

The compared Amazon Web Services (AWS) and Microsoft solutions aren't in the same category. Amazon Web Services (AWS) is ranked #1 in CS , with an average rating of 8.4, and holds a 21.0% mindshare in the category. Microsoft is ranked #3 in SA , with an average rating of 7.9, and holds a 10.4% mindshare. Additionally, 94% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 92% of Microsoft users who would recommend it.

AWS Lambda

Read 83 AWS Lambda reviews

4,528 Views
2,369 Comparison Views

94% willing to recommend

Azure Stream Analytics

Read 26 Azure Stream Analytics reviews

4,867 Views
4,124 Comparison Views

92% willing to recommend

AWS Lambda

Azure Stream Analytics

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Executive Summary

We performed a comparison between AWS Lambda and Azure Stream Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Apache, Spot by NetApp and others in Compute Service.

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Buyer's Guide

Compute Service

March 2025

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Review summaries and opinions

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

Categories and Ranking

AWS Lambda

Average Rating

8.4

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Compute Service (1st)

Azure Stream Analytics

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Streaming Analytics (3rd)

Mindshare comparison

AWS Lambda and Azure Stream Analytics aren’t in the same category and serve different purposes. AWS Lambda is designed for Compute Service and holds a mindshare of 21.0%, down 23.2% compared to last year.
Azure Stream Analytics, on the other hand, focuses on Streaming Analytics, holds 10.4% mindshare, down 12.7% since last year.

Compute Service

Streaming Analytics

Featured Reviews

Wai L Lin O

Cloud Engineer - Supervisor at KBZ Bank

A serverless solution with easy integration features

We use AWS Lambda because it provides a solution for our needs without requiring us to manage our infrastructure. With the tool, we only pay for the resources we use. Additionally, it is straightforward to implement and integrates with other services like API Gateway. The tool's serverless nature has had the most significant impact on our workflow. I find it particularly attractive because it eliminates the need for managing servers. In my previous experience, managing upgrades and updates was quite challenging. The solution's integration process with other AWS services was relatively easy. We primarily use AWS services such as EventBridge for scheduling processes and log management.

Read full review

SantiagoCordero

Director, Governance & Infrastructure & Director at VASS

Native connectors and integration simplify tasks but portfolio complexity needs addressing

There are too many products in the Azure landscape, which sometimes leads to overlap between them. Microsoft continuously releases new products or solutions, which can be frustrating when determining the appropriate features from one solution over another. A cost comparison between products is also not straightforward. They should simplify their portfolio. The Microsoft licensing system is confusing and not easy to understand, and this is something they should address. In the future, I may stop using Stream Analytics and move to other solutions. I discussed Palantir earlier, which is something I want to explore in depth because it allows me to accomplish more efficiently compared to solely using Azure. Additionally, the vendors should make the solution more user-friendly, incorporating low-code and no-code features. This is something I wish to explore further.

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

"Technical support has been great in general."

"The utilization of containers is particularly beneficial in overcoming the size limitations imposed on Lambda functions which not only allows us to work around these constraints but also contributes to the improvement and maintenance of our code."

"I like the pay-for-what-you-use feature. This is the main reason why we use AWS Lambda. I don't have to manage servers; I just have to configure Lambda and expose it to an API gateway."

"Lambda has improved our organization by making it possible to transform data."

"We are building a Twitter-like application in the boot camp. I have used Lamda for the integration of the post-confirmation page in the application. This will help you get your one-time password via mail. You can log in with the help of a post-confirmation page. We didn’t want to setup an instance specifically for confirmation. We used the Lambda function so that it goes back to sleep after pushing up."

"I think the most valuable feature is the agility of the solution."

"The most valuable feature is that it scans the cloud system and if they are any security anomalies it triggers an email."

"Thanks to this solution, we do not need to worry about hardware or resource utilization. It saves us time."

More AWS Lambda pros

"Cloud tools and cloud services enable flexibility and lower entry barriers for Taiwanese enterprises."

"The solution has a lot of functionality that can be pushed out to companies."

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

"The solution's most valuable feature is its ability to create a query using SQ."

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

"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."

"I like the IoT part. We have mostly used Azure Stream Analytics services for it"

"It provides the capability to streamline multiple output components."

More Azure Stream Analytics pros

Cons

"AWS Lambda can improve its file system-based sharing capabilities and restrictions."

"The way Lambda works with HTTP headers is a bit odd."

"There are sometimes issues following an update."

"I would like the layers to have a bigger volume. I would like to be able to add more. I don't want to be limited by the layer."

"The first time Lambda is started up, it takes some time to spin up an instance for serving the consumer requests. AWS has been trying to solve this in a variety of ways but have not yet managed to do so."

"I would like to see improvements in AWS Lambda's stability and setup processes, as there were some complexities encountered initially."

"Another challenge I've noticed is that there is a limit to the environment variables such as the 4 KB limit. Although, the advice is to use parameters or other things to store the details when the limit has exceeded the data, this adds additional intensity to the application. If the size limits for environment variables can be revealed, it would be helpful. Even if we have to pay for it, at least we would know that we are not dealing with latency. So, I would like to see the size of the environment variables increased."

"Security needs to be improved."

More AWS Lambda cons

"The solution’s customer support could be improved."

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

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

"There are too many products in the Azure landscape, which sometimes leads to overlap between them."

"The solution doesn't handle large data packets very efficiently, which could be improved upon."

"The initial setup is complex."

"There is a lack of technical support from Microsoft's local office, particularly in Taiwan."

"Easier scalability and more detailed job monitoring features would be helpful."

More Azure Stream Analytics cons

Pricing and Cost Advice

"AWS Lambda cost is pretty decent."

"AWS Lambda is not expensive for micro testing but is expensive if used for long deployment or long services."

"AWS Lambda is a cheap solution."

"The price of the solution is reasonable and it is a pay-per-use model. It is very good for cost optimization."

"AWS Lambda is cheap."

"Lambda is an affordable solution. They offer free requests every month and charge per the compute time. If you are working in a big organization, usually AWS offer a savings plan where you get approximately 70% discount on pricing."

"AWS Lambda is cost-effective, with a minimal maintenance cost."

"I think the price is okay. However, if they add more functionality, they can have better prices. In fact, they should have better and more flexible packages for clients who have greater consumption of Lambda."

More AWS Lambda pricing and cost advice

"We pay approximately $500,000 a year. It's approximately $10,000 a year per license."

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

"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."

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

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

"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."

"Azure Stream Analytics is a little bit expensive."

"The current price is substantial."

More Azure Stream Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

70%

Financial Services Firm

Computer Software Company

Manufacturing Company

Computer Software Company

16%

Financial Services Firm

14%

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Which is better, AWS Lambda or Batch?

AWS Lambda is a serverless solution. It doesn’t require any infrastructure, which allows for cost savings. There is no setup process to deal with, as the entire solution is in the cloud. If you use...

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What do you like most about AWS Lambda?

The tool scales automatically based on the number of incoming requests.

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What is your experience regarding pricing and costs for AWS Lambda?

AWS Lambda is cheaper compared to running an instance continuously. You only pay for what you use, making it cost-effective.

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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?

I have no problem with pricing. We sell the data analytics value and operational value to customers, focusing on productivity and efficiency from the cloud, rather than just the infrastructure or p...

See all answers

What needs improvement with Azure Stream Analytics?

There is a lack of technical support from Microsoft's local office, particularly in Taiwan. We often have to learn online, and language can be a communication barrier since not many IT staff can sp...

See all answers

Comparisons

AWS Batch vs AWS Lambda

Compared 53% of the time

Apache NiFi vs AWS Lambda

Compared 16% of the time

Apache Spark vs AWS Lambda

Compared 10% of the time

Amazon EC2 Auto Scaling vs AWS Lambda

Compared 10% of the time

More AWS Lambda Competitors

Databricks vs Azure Stream Analytics

Compared 27% of the time

Amazon MSK vs Azure Stream Analytics

Compared 23% of the time

Amazon Kinesis vs Azure Stream Analytics

Compared 18% of the time

Apache Flink vs Azure Stream Analytics

Compared 16% of the time

More Azure Stream Analytics Competitors

Product Reports

Buyer's Guide

AWS Lambda

March 2025

Download AWS Lambda product report

Buyer's Guide

Azure Stream Analytics

March 2025

Download Azure Stream Analytics product report

Also Known As

No data available

ASA

Overview

AWS Lambda is a compute service that lets you run code without provisioning or managing servers. AWS Lambda executes your code only when needed and scales automatically, from a few requests per day to thousands per second. You pay only for the compute time you consume - there is no charge when your code is not running. With AWS Lambda, you can run code for virtually any type of application or backend service - all with zero administration. AWS Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, code monitoring and logging. All you need to do is supply your code in one of the languages that AWS Lambda supports (currently Node.js, Java, C# and Python).

You can use AWS Lambda to run your code in response to events, such as changes to data in an Amazon S3 bucket or an Amazon DynamoDB table; to run your code in response to HTTP requests using Amazon API Gateway; or invoke your code using API calls made using AWS SDKs. With these capabilities, you can use Lambda to easily build data processing triggers for AWS services like Amazon S3 and Amazon DynamoDB process streaming data stored in Amazon Kinesis, or create your own back end that operates at AWS scale, performance, and security.

Amazon Web Services (AWS)

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

Microsoft

Sample Customers

Netflix

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

Find out what your peers are saying about Amazon Web Services (AWS), Apache, Spot by NetApp and others in Compute Service. Updated: March 2025.

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