AWS Lambda vs Azure Stream Analytics comparison

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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, Zadara and others in Compute Service.
To learn more, read our detailed Compute Service Report (Updated: May 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It's also suitable for companies of any size. For example, we're a large enterprise, and we've used Lambda without any problems in the last 10 months.""The ability to scale up and down very quickly helps because we can maintain our system performance and business at a low cost.""The programming language and the integration with other AWS services are the most valuable features.""The most valuable feature of AWS Lambda, from a conceptual point, is its functions. For example, it's mathematical templates into which you can write, and create your solution. You write small pieces of a solution under given parameters.""The solution integrates well with API gateways and S3 events via its AWS ecosystem.""Some of the most valuable features are that it's easy to install and use. The performance is also good.""The most valuable features are event-based triggers. They're really good for a reactive style when you want things to happen as soon as something else happens.""The stability is good."

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"We use Azure Stream Analytics for simulation and internal activities.""I appreciate this solution because it leverages open-source technologies. It allows us to utilize the latest streaming solutions and it's easy to develop.""It's scalable as a cloud product.""We find the query editor feature of this solution extremely valuable for our business.""It provides the capability to streamline multiple output components.""It's a product that can scale.""The solution's most valuable feature is its ability to create a query using SQ.""The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."

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Cons
"My engineers work with it on a daily basis. I just don't have enough depth of knowledge about what kinds of edge cases they may have tried and found lacking. There may be some issues with some language support at one point or another because we couldn't get the underlying libraries in there. A lot of what we do is either in JavaScript, Python, or some of the non-compiled languages. I'm not sure if we've ever tried building a C# solution, for instance, in Lambda or a Java solution in Lambda. It doesn't mean those aren't its capabilities. I would rather refer to my engineers for where the boundaries are.""I would like to see the five zero four AWS Lambda invocation fixed. This is basically a time-out error.""The solution should continue to streamline integrations with AWS services.""AWS Lambda should support additional languages.""The support team does not know how to implement and build the solution.""I would like to see more integration with other platforms.""The running time of AWS Lambda runs fine. It takes around five minutes but it would be great if that time could be extended.""We need to invest time in learning the tool's language variant. We have encountered instances of downtime as well."

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"The solution doesn't handle large data packets very efficiently, which could be improved upon.""The solution’s customer support could be improved.""The solution offers a free trial, however, it is too short.""Easier scalability and more detailed job monitoring features would be helpful.""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.""I would like to have a contact individual at Microsoft.""The initial setup is complex.""Its features for event imports and architecture could be enhanced."

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Pricing and Cost Advice
  • "AWS is slightly more expensive than Azure."
  • "Its pricing is on the higher side."
  • "The price of the solution is reasonable and it is a pay-per-use model. It is very good for cost optimization."
  • "The cost is based on runtime."
  • "The fees are volume-based."
  • "AWS Lambda is inexpensive."
  • "Lambda is a good and cheap solution and I would recommend it to those without a huge payload."
  • "For licensing, we pay a yearly subscription."
  • More AWS Lambda Pricing and Cost Advice →

  • "The cost of this solution is less than competitors such as Amazon or Google Cloud."
  • "We pay approximately $500,000 a year. It's approximately $10,000 a year per license."
  • "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."
  • "The current price is substantial."
  • "Azure Stream Analytics is a little bit expensive."
  • "The product's price is at par with the other solutions provided by the other cloud service providers in the market."
  • More Azure Stream Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer:The tool scales automatically based on the number of incoming requests.
    Top Answer:We only need to pay for the compute time our code consumes. The solution does not cost much.
    Top Answer: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… more »
    Top Answer:The product's price is at par with the other solutions provided by the other cloud service providers in the market.
    Top Answer:Azure Stream Analytics was not meeting our company's expectations because it was tedious to change the job, write queries, or if I needed to change something, I needed to stop the entire stream… more »
    Ranking
    1st
    out of 16 in Compute Service
    Views
    11,305
    Comparisons
    7,691
    Reviews
    39
    Average Words per Review
    391
    Rating
    8.6
    3rd
    out of 39 in Streaming Analytics
    Views
    9,387
    Comparisons
    7,970
    Reviews
    14
    Average Words per Review
    430
    Rating
    8.2
    Comparisons
    Also Known As
    ASA
    Learn More
    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.

    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
    Netflix
    Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
    Top Industries
    REVIEWERS
    Financial Services Firm24%
    Computer Software Company21%
    Non Profit5%
    Educational Organization5%
    VISITORS READING REVIEWS
    Educational Organization48%
    Financial Services Firm12%
    Computer Software Company8%
    Manufacturing Company4%
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Insurance Company9%
    Government9%
    VISITORS READING REVIEWS
    Computer Software Company15%
    Financial Services Firm12%
    Manufacturing Company8%
    Retailer5%
    Company Size
    REVIEWERS
    Small Business38%
    Midsize Enterprise15%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise52%
    Large Enterprise38%
    REVIEWERS
    Small Business27%
    Midsize Enterprise9%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise11%
    Large Enterprise69%
    Buyer's Guide
    Compute Service
    May 2024
    Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    AWS Lambda is ranked 1st in Compute Service with 70 reviews while Azure Stream Analytics is ranked 3rd in Streaming Analytics with 22 reviews. AWS Lambda is rated 8.6, while Azure Stream Analytics is rated 8.2. The top reviewer of AWS Lambda writes "An easily scalable solution with a variety of use cases and valuable event-based triggers". On the other hand, the top reviewer of Azure Stream Analytics writes "Easy to set up and user-friendly, but could be priced better". AWS Lambda is most compared with AWS Batch, Amazon EC2 Auto Scaling, Apache NiFi, Apache Spark and Amazon EC2, whereas Azure Stream Analytics is most compared with Amazon Kinesis, Databricks, Amazon MSK, Apache Flink and Apache Pulsar.

    We monitor all Compute Service 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.