Compare AWS Lambda vs. IBM Streams

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6,370 views|5,873 comparisons
IBM Streams Logo
2,137 views|1,938 comparisons
Top Review
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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."

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Questions from the Community
Top Answer: The solution is highly scalable.
Top Answer: The user-friendliness of the solution could be improved. If it was easy to run with the same function in other platforms, other environments, that would make it more portable. That would be really… more »
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out of 14 in Compute Service
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out of 36 in Streaming Analytics
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Also Known As
IBM InfoSphere Streams
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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.

IBM Streams is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of data stream sources. The solution can handle very high data throughput rates, up to millions of events or messages per second. Streams helps you analyze data in motion, simplify development of streaming applications, and extend the value of existing systems.
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Sample Customers
Globo TV, All England Lawn Tennis Club, CenterPoint Energy, Consolidated Communications Holdings, Darwin Ecosystem, Emory University Hospital, ICICI Securities, Irish Centre for Fetal and Neonatal Translational Research (INFANT), Living Roads, Mobileum, Optibus, Southern Ontario Smart Computing Innovation Platform (SOSCIP), University of Alberta, University of Montana, University of Ontario Institute of Technology, Wimbledon 2015
Top Industries
Computer Software Company50%
Healthcare Company13%
Venture Capital & Private Equity Firm13%
Financial Services Firm13%
Computer Software Company23%
Media Company21%
Comms Service Provider17%
Financial Services Firm6%
Computer Software Company26%
Comms Service Provider14%
Financial Services Firm13%
Company Size
Small Business35%
Midsize Enterprise12%
Large Enterprise53%
No Data Available
Find out what your peers are saying about Apache, Amazon, Zadara and others in Compute Service. Updated: September 2021.
533,638 professionals have used our research since 2012.

AWS Lambda is ranked 2nd in Compute Service with 13 reviews while IBM Streams is ranked 12th in Streaming Analytics. AWS Lambda is rated 8.6, while IBM Streams is rated 0.0. The top reviewer of AWS Lambda writes "Programming is getting much easier and does not need a lot of configuration ". On the other hand, AWS Lambda is most compared with AWS Batch, Apache NiFi, Apache Spark, Azure Stream Analytics and Amazon EC2, whereas IBM Streams is most compared with Confluent, Apache NiFi, Google Cloud Dataflow, Azure Stream Analytics and Splunk.

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