Amazon EC2 vs Apache NiFi vs Azure Stream Analytics comparison

Cancel
You must select at least 2 products to compare!
Amazon Web Services (AWS) Logo
2,594 views|1,667 comparisons
98% willing to recommend
Apache Logo
3,775 views|1,861 comparisons
90% willing to recommend
Microsoft Logo
9,925 views|8,426 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon EC2, Apache NiFi, 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: April 2024).
768,740 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Configuration can be changed at any time and it's very scalable.""The scalability of Amazon EC2 is good. However, the stability can depend on what service I am using.""We don't have to worry about scalability issues or maintenance or security. It's all taken care of.""I believe that cloud solutions are better than physical servers.""The ability to bring up servers and then do the computation and deposit means we don't have to maintain a data center. Everything is virtual and the security is also taken care of. It helps us to achieve compliance. Being a small startup with the security features that AWS provides helps us with compliance.""The product is very mature and organized.""EC2 is flexible when we need to increase its resources (memory, boosting, and storage) based on our usage. That is the power of EC2.""My favorite feature of this solution is the flexibility of instance types, which allows for the cost to be tailored to the usage amount and type."

More Amazon EC2 Pros →

"It's an automated flow, where you can build a flow from source to destination, then do the transformation in between.""The initial setup is very easy.""The initial setup is very easy. I would rate my experience with the initial setup a ten out of ten, where one point is difficult, and ten points are easy.""We can integrate the tool with other applications easily.""The most valuable features of this solution are ease of use and implementation.""The most valuable feature has been the range of clients and the range of connectors that we could use.""Visually, this is a good product.""The user interface is good and makes it easy to design very popular workflows."

More Apache NiFi Pros →

"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics.""The solution has a lot of functionality that can be pushed out to companies.""The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex.""It's a product that can scale.""The solution's most valuable feature is its ability to create a query using SQ.""The solution's technical support is good.""Technical support is pretty helpful.""It provides the capability to streamline multiple output components."

More Azure Stream Analytics Pros →

Cons
"The support could be more responsive.""My impression is that the scalability of this product could be improved. My opinion is that, for example, the Lambda solution is much more scalable than EC2.""I would like to see improvement in the information available up-front for users around tailoring the package to their actual requirements. At present it can take time to work with the on demand instance until you are used to what features are right for the user.""Amazon EC2 could improve by reducing the price.""Built-in and/or integration with other services to proactively identify potential failures before they occur.""Its price can be reduced.""Amazon EC2 could improve the stability.""I think the pricing needs to be adjusted and better security."

More Amazon EC2 Cons →

"The overall stability of this solution could be improved. In a future release, we would like to have access to more features that could be used in a parallel way. This would provide more freedom with processing.""I think the UI interface needs to be more user-friendly.""There is room for improvement in integration with SSO. For example, NiFi does not have any integration with SSO. And if I want to give some kind of rollback access control across the organization. That is not possible.""The use case templates could be more precise to typical business needs.""There should be a better way to integrate a development environment with local tools.""There are some claims that NiFi is cloud-native but we have tested it, and it's not.""We run many jobs, and there are already large tables. When we do not control NiFi on time, all reports fail for the day. So it's pretty slow to control, and it has to be improved.""More features must be added to the product."

More Apache NiFi Cons →

"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.""Its features for event imports and architecture could be enhanced.""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.""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.""The solution’s customer support could be improved.""The solution's interface could be simpler to understand for non-technical people.""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."

More Azure Stream Analytics Cons →

Pricing and Cost Advice
  • "Pricing appears to be cheap, however, it is extremely difficult in calculating what something will cost."
  • "It has helped to reduce costs with infrastructure."
  • "EC2 pricing is somewhat transparent, in that AWS provides pricing for all instance types. However, the number of pricing options can be confusing."
  • "For our usage, the cost is approximately $20,000 to $23,000 per month."
  • "There is a license required to use this solution and we pay on a monthly basis."
  • "The price is reasonable, but there is definitely an opportunity to lower it in instances which are of a higher configuration, because they have been typically used for the long term."
  • "Amazon EC2 has a pay-as-you-use cost model."
  • "The clients have found the billing of Amazon EC2 good, but the price could be less high. There is a monthly subscription to use the solution."
  • More Amazon EC2 Pricing and Cost Advice →

  • "It's an open-source solution."
  • "We use the free version of Apache NiFi."
  • "The solution is open-source."
  • More Apache NiFi 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 →

    report
    Use our free recommendation engine to learn which Compute Service solutions are best for your needs.
    768,740 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:Amazon EC2 is really reliable and provides great flexibility.
    Top Answer:The solution has different pricing models, and its cost differs when you purchase it for one year or three years.
    Top Answer:The solution’s pricing and downtimes could be improved. I would like to have a better pricing model for Amazon EC2… more »
    Top Answer:I am using it open source, so it means it's free for me to use.
    Top Answer:There is room for improvement in integration with SSO. For example, NiFi does not have any integration with SSO. And if… more »
    Top Answer:Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics… 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… more »
    Ranking
    4th
    out of 16 in Compute Service
    Views
    2,594
    Comparisons
    1,667
    Reviews
    46
    Average Words per Review
    347
    Rating
    8.6
    8th
    out of 16 in Compute Service
    Views
    3,775
    Comparisons
    1,861
    Reviews
    5
    Average Words per Review
    565
    Rating
    7.4
    4th
    out of 38 in Streaming Analytics
    Views
    9,925
    Comparisons
    8,426
    Reviews
    13
    Average Words per Review
    405
    Rating
    8.2
    Comparisons
    Also Known As
    Amazon Elastic Compute Cloud, EC2
    ASA
    Learn More
    Overview

    Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.

    Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers the tools to build failure resilient applications and isolate them from common failure scenarios.

    Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

    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, Expedia, TimeInc., Novaris, airbnb, Lamborghini
    Macquarie Telecom Group, Dovestech, Slovak Telekom, Looker, Hastings Group
    Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
    Top Industries
    REVIEWERS
    Computer Software Company31%
    Financial Services Firm15%
    Comms Service Provider12%
    Government8%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company17%
    Manufacturing Company6%
    Educational Organization6%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company15%
    Manufacturing Company7%
    Government7%
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Government9%
    Media Company9%
    VISITORS READING REVIEWS
    Computer Software Company15%
    Financial Services Firm12%
    Manufacturing Company8%
    Comms Service Provider5%
    Company Size
    REVIEWERS
    Small Business46%
    Midsize Enterprise16%
    Large Enterprise39%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise12%
    Large Enterprise68%
    REVIEWERS
    Small Business40%
    Large Enterprise60%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise70%
    REVIEWERS
    Small Business24%
    Midsize Enterprise10%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise11%
    Large Enterprise69%
    Buyer's Guide
    Compute Service
    April 2024
    Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service. Updated: April 2024.
    768,740 professionals have used our research since 2012.