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AWS Lambda vs Azure Stream Analytics comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

AWS Lambda
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
74
Ranking in other categories
Compute Service (1st)
Azure Stream Analytics
Average Rating
8.0
Number of Reviews
24
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 20.1%, down 28.3% compared to last year.
Azure Stream Analytics, on the other hand, focuses on Streaming Analytics, holds 12.6% mindshare, down 13.5% since last year.
Compute Service
Streaming Analytics
 

Featured Reviews

Wai L Lin O - PeerSpot reviewer
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.
Sudhendra Umarji - PeerSpot reviewer
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.

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 is pretty easy."
"They have the built-in IDE, so everything happens without integration issues."
"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."
"The ability to scale up and down very quickly helps because we can maintain our system performance and business at a low cost."
"The solution is highly scalable."
"The support from AWS Lambda is very good, they are responsive."
"The most valuable feature of this solution is the API Gateway."
"Lambda has improved our organization by making it possible to transform data."
"Provides deep integration with other Azure resources."
"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."
"The way it organizes data into tables and dashboards is very helpful."
"The solution has a lot of functionality that can be pushed out to companies."
"The most valuable features are the IoT hub and the Blob storage."
"It's a product that can scale."
"Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time."
"It provides the capability to streamline multiple output components."
 

Cons

"There's room for improvement in the solution's warm start, which refers to the minimum time it takes to start up a Lambda function if you haven't been running it."
"It would be ideal if we could use the solution across different platforms."
"It can be a bit difficult to switch between accounts when creating services for customers."
"If it is a specific ETL process or a long-term one, then AWS Lambda is not a good option."
"If you are setting it up on hybrid solution, there is a lot of work that needs to go in."
"AWS Lambda should improve its compatibility with the language used to write the code."
"AWS Lambda could be improved with better stability."
"If you're running a new application with a significant load, you need to be prepared for potential bottlenecks."
"The solution could be improved by providing better graphics and including support for UI and UX testing."
"Its features for event imports and architecture could be enhanced."
"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 UI should be a little bit better from a usability perspective."
"More flexibility in terms of writing queries and accommodating additional facilities would be beneficial."
"Easier scalability and more detailed job monitoring features would be helpful."
"The collection and analysis of historical data could be better."
"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."
 

Pricing and Cost Advice

"AWS Lambda is not expensive for micro testing but is expensive if used for long deployment or long services."
"The price is expensive and is based on usage. The more users you have the higher the 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."
"Its pricing is on the higher side."
"This is a product that is pay-per-use, as opposed to a licensing fee."
"I would rate the tool’s pricing a nine out of ten. The solution’s pricing works on a pay-as-you-go basis."
"AWS Lambda's cloud version isn't expensive, and I'd rate its pricing as five out of five."
"The price of AWS Lambda is priced very low."
"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."
"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 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."
"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."
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Top Industries

By visitors reading reviews
Educational Organization
59%
Financial Services Firm
10%
Computer Software Company
6%
Manufacturing Company
3%
Computer Software Company
15%
Financial Services Firm
14%
Manufacturing Company
8%
Insurance Company
6%
 

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...
What do you like most about AWS Lambda?
The tool scales automatically based on the number of incoming requests.
What is your experience regarding pricing and costs for AWS Lambda?
AWS Lambda is very cost-effective. It allows for one hundred thousand requests for free per month, and subsequent requests incur a very low cost per trigger.
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...
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...
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...
 

Also Known As

No data available
ASA
 

Overview

 

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: November 2024.
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