AWS Lambda vs Apache NiFi comparison

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3,672 views|1,791 comparisons
90% willing to recommend
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11,937 views|8,175 comparisons
94% willing to recommend
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Executive Summary

We performed a comparison between Apache NiFi and AWS Lambda based on real PeerSpot user reviews.

Find out in this report how the two Compute Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed AWS Lambda vs. Apache NiFi Report (Updated: May 2024).
772,127 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
"The initial setup is very easy.""The most valuable feature has been the range of clients and the range of connectors that we could use.""The most valuable features of this solution are ease of use and implementation.""Apache NiFi is user-friendly. Its most valuable features for handling large volumes of data include its multitude of integrated endpoints and clients and the ability to create cron jobs to run tasks at regular intervals.""Visually, this is a good product.""It's an automated flow, where you can build a flow from source to destination, then do the transformation in between.""We can integrate the tool with other applications easily.""The user interface is good and makes it easy to design very popular workflows."

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"The solution offers good performance.""Provides a good, easy path from when you're using an AWS cluster.""The solution is highly scalable.""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.""Amazon takes care of the scalability. That's the right way. It's automatic and it's fully managed. That's one benefit of Lambda.""AWS Lambda is a stable solution.""It is a scalable solution.""The feature I found most valuable about Lambda is the fact that it's serverless."

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Cons
"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 are some claims that NiFi is cloud-native but we have tested it, and it's not.""I think the UI interface needs to be more user-friendly.""More features must be added to the product.""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.""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.""The tool should incorporate more tutorials for advanced use cases. It has tutorials for simple use cases."

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"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.""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.""If you are setting it up on hybrid solution, there is a lot of work that needs to go in.""Its price should be improved. Its pricing is on the higher side. I am not sure if it currently supports the Go language. If it doesn't support the Go language, they can introduce it.""We need to better understand Lambda for different scenarios. We need some joint effort between Amazon and the users to have the users identify how they can really leverage Lambda. It's not about Lambda itself; it's about the practice, the guidance. There needs to be very good documentation. From the user perspective, what exists now is not always enough.""The price in general could always be better.""The runtime for the solution can be improved.""If you're running a new application with a significant load, you need to be prepared for potential bottlenecks."

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Pricing and Cost Advice
  • "It's an open-source solution."
  • "We use the free version of Apache NiFi."
  • "The solution is open-source."
  • "I used the tool's free version."
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  • "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 →

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    Questions from the Community
    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 I want to give some kind of rollback access control across the organization… more »
    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.
    Ranking
    8th
    out of 16 in Compute Service
    Views
    3,672
    Comparisons
    1,791
    Reviews
    5
    Average Words per Review
    565
    Rating
    7.4
    1st
    out of 16 in Compute Service
    Views
    11,937
    Comparisons
    8,175
    Reviews
    39
    Average Words per Review
    391
    Rating
    8.6
    Comparisons
    Learn More
    Overview
    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.

    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.

    Sample Customers
    Macquarie Telecom Group, Dovestech, Slovak Telekom, Looker, Hastings Group
    Netflix
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company15%
    Manufacturing Company7%
    Government7%
    REVIEWERS
    Financial Services Firm24%
    Computer Software Company21%
    Non Profit5%
    Educational Organization5%
    VISITORS READING REVIEWS
    Educational Organization48%
    Financial Services Firm12%
    Computer Software Company8%
    Manufacturing Company4%
    Company Size
    REVIEWERS
    Small Business36%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise70%
    REVIEWERS
    Small Business38%
    Midsize Enterprise15%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise52%
    Large Enterprise38%
    Buyer's Guide
    AWS Lambda vs. Apache NiFi
    May 2024
    Find out what your peers are saying about AWS Lambda vs. Apache NiFi and other solutions. Updated: May 2024.
    772,127 professionals have used our research since 2012.

    Apache NiFi is ranked 8th in Compute Service with 11 reviews while AWS Lambda is ranked 1st in Compute Service with 70 reviews. Apache NiFi is rated 7.8, while AWS Lambda is rated 8.6. The top reviewer of Apache NiFi writes "Allows the creation and use of custom functions to achieve desired functionality but limitation in handling monthly transactions due to a lack of partitioning for dates". On the other hand, the top reviewer of AWS Lambda writes "An easily scalable solution with a variety of use cases and valuable event-based triggers". Apache NiFi is most compared with Google Cloud Dataflow, Apache Spark, Azure Stream Analytics, Apache Storm and AWS Fargate, whereas AWS Lambda is most compared with AWS Batch, Amazon EC2 Auto Scaling, Apache Spark, AWS Fargate and Google Cloud Dataflow. See our AWS Lambda vs. Apache NiFi report.

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    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.