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 8.5, and holds a 20.8% mindshare in the category. Microsoft is ranked #4 in SA , with an average rating of 8.1, and holds a 11.4% 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

6,833 Views
4,044 Comparison Views

94% willing to recommend

Azure Stream Analytics

Read 25 Azure Stream Analytics reviews

6,265 Views
5,355 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

January 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 (4th)

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 20.8%, down 26.3% compared to last year.
Azure Stream Analytics, on the other hand, focuses on Streaming Analytics, holds 11.4% mindshare, down 12.9% 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

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 initial setup of AWS Lambda is very straightforward and quick."

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

"The solution is scalable."

"The ease and speed of developing the services using any available language is the most valuable feature."

"What I like best about AWS Lambda is that it's feature-rich, and I appreciate that. I also like that it's stable and supports many languages."

"The solution runs on the latest cloud technology so it is easy to deploy cloud-native projects."

"The solution offers good performance."

"The automation feature is valuable."

More AWS Lambda pros

"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."

"The most valuable features are the IoT hub and the Blob storage."

"The most valuable aspect is the SQL option that Azure Stream Analytics provides."

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

"We find the query editor feature of this solution extremely valuable for our business."

"It's a product that can scale."

"Technical support is pretty helpful."

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

More Azure Stream Analytics pros

Cons

"Lambda can only be used in one account; there's no possibility to utilize it in another account."

"I think that perhaps Lambda could explore its functionality more."

"Lamba functions have cold-starts that can cause some delay."

"AWS Lambda could improve by having no-code or low-code options because currently, you need to be able to write code well to use it."

"The security needs to be improved."

"One area of improvement is to include support for more programming languages. AWS Lambda does not support a lot of programming languages. You have to write the Lambda functions in a certain programming language. We are using C++. My developer knows a couple of other languages. Python is his favorite language, but Python is not supported in AWS Lambda."

"The product could make the process of integration easier."

"Lambda's dashboard could be more user-friendly and customizable. I want the dashboard to have more information to quickly identify what functions and events are running. Also, we want to be able to add more trigger points, push notifications, and events."

More AWS Lambda cons

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

"It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data. I can't customize or edit the data or do some queries. All queries need to be done in the Azure Stream Analytics."

"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."

"The only challenge was that the streaming analytics area in Azure Stream Analytics could not meet our company's expectations, making it a component where improvements are required."

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

"The solution's interface could be simpler to understand for non-technical people."

"The solution could be improved by providing better graphics and including support for UI and UX testing."

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

More Azure Stream Analytics cons

Pricing and Cost Advice

"You're not paying for a server if you're not using it, which is another reason I like it. So, you're not paying if you're not using it. It scales, and you're charged based on usage. It all depends on the use case. Some can be extremely inexpensive if you have very low volume transaction rates. That way, you don't have to fire up and absorb the cost of the servers just sitting there waiting for a transaction to come through. You're only paying when you use it. So, depending upon the use model, Lambda could be highly efficient relative to an EC2 solution. You don't have to have things reallocated."

"We don't need to pay for licensing to use Lambda."

"The price of AWS Lambda is priced very low."

"The solution follows a pay-as-you-go licensing model, which results in cost savings."

"AWS Lambda cost is pretty decent."

"The price is expensive and is based on usage. The more users you have the higher the cost."

"AWS Lambda is a cheap solution."

"AWS Lambda is a very inexpensive solution. They charge for the number of times we run it. If you run AWS Lambda for one time, they charge around 50 cents or 25 cents for the use. I don't know the exact price, but it's less than a dollar."

More AWS Lambda pricing and cost advice

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

"The current price is substantial."

"Azure Stream Analytics is a little bit expensive."

"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."

"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."

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

"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."

More Azure Stream Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

65%

Financial Services Firm

Computer Software Company

Manufacturing Company

Computer Software Company

15%

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.

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...

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

Stream Analytics is cheaper, especially for small-scale requirements or telemetry needs. However, for enterprise-level data handling, structured streaming with Databricks might be more cost-effecti...

See all answers

What needs improvement with Azure Stream Analytics?

More flexibility in terms of writing queries and accommodating additional facilities would be beneficial. The complexity of handling messages that need decoding and contain different characters sho...

See all answers

Comparisons

AWS Batch vs AWS Lambda

Compared 56% of the time

Apache NiFi vs AWS Lambda

Compared 14% of the time

Amazon EC2 Auto Scaling vs AWS Lambda

Compared 10% of the time

Apache Spark vs AWS Lambda

Compared 9% of the time

More AWS Lambda Competitors

Databricks vs Azure Stream Analytics

Compared 28% of the time

Amazon MSK vs Azure Stream Analytics

Compared 21% of the time

Amazon Kinesis vs Azure Stream Analytics

Compared 20% of the time

Apache Flink vs Azure Stream Analytics

Compared 14% of the time

More Azure Stream Analytics Competitors

Product Reports

Buyer's Guide

AWS Lambda

February 2025

Download AWS Lambda product report

Buyer's Guide

Azure Stream Analytics

February 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: January 2025.

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