Compare AWS Lambda vs. Apache NiFi

Apache NiFi is ranked 3rd in Compute Service while AWS Lambda is ranked 2nd in Compute Service with 4 reviews. Apache NiFi is rated 0, while AWS Lambda is rated 7.6. On the other hand, the top reviewer of AWS Lambda writes "Simple to set up, scales well, and integrates well with other AWS services". Apache NiFi is most compared with AWS Lambda, Google Cloud Dataflow and Azure Stream Analytics, whereas AWS Lambda is most compared with Apache NiFi, Apache Spark and Apache Storm.
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Apache NiFi Logo
7,344 views|5,075 comparisons
AWS Lambda Logo
3,831 views|3,328 comparisons
Most Helpful Review
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Find out what your peers are saying about AWS Lambda vs. Apache Spark and other solutions. Updated: September 2019.
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371,062 professionals have used our research since 2012.
Ranking
3rd
out of 8 in Compute Service
Views
7,344
Comparisons
5,075
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
2nd
out of 8 in Compute Service
Views
3,831
Comparisons
3,328
Reviews
3
Average Words per Review
406
Avg. Rating
7.3
Top Comparisons
Compared 27% of the time.
Compared 17% of the time.
Compared 38% of the time.
Compared 34% of the time.
Compared 7% of the time.
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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.

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Top Industries
VISITORS READING REVIEWS
Software R&D Company31%
Insurance Company13%
Comms Service Provider10%
Financial Services Firm8%
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Find out what your peers are saying about AWS Lambda vs. Apache Spark and other solutions. Updated: September 2019.
371,062 professionals have used our research since 2012.
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.
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