AWS Lambda vs. Oracle Big Data Cloud Service

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Lambda
Score 8.8 out of 10
N/A
AWS Lambda is a serverless computing platform that lets users run code without provisioning or managing servers. With Lambda, users can run code for virtually any type of app or backend service—all with zero administration. It takes of requirements to run and scale code with high availability.
$NaN
Per 1 ms
Oracle Big Data Cloud Service
Score 7.2 out of 10
N/A
The Oracle Big Data Cloud Services features managed and secure platform cloud service for Apache Hadoop and Apache Spark delivered as an elastic, integrated platform. It provides support for streaming, batch, and interactive analysis.N/A
Pricing
AWS LambdaOracle Big Data Cloud Service
Editions & Modules
128 MB
$0.0000000021
Per 1 ms
1024 MB
$0.0000000167
Per 1 ms
10240 MB
$0.0000001667
Per 1 ms
No answers on this topic
Offerings
Pricing Offerings
AWS LambdaOracle Big Data Cloud Service
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AWS LambdaOracle Big Data Cloud Service
Top Pros
Top Cons
Features
AWS LambdaOracle Big Data Cloud Service
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
AWS Lambda
9.3
3 Ratings
3% below category average
Oracle Big Data Cloud Service
-
Ratings
Multiple Access Permission Levels (Create, Read, Delete)9.03 Ratings00 Ratings
Single Sign-On (SSO)9.52 Ratings00 Ratings
Reporting & Analytics
Comparison of Reporting & Analytics features of Product A and Product B
AWS Lambda
6.1
3 Ratings
4% below category average
Oracle Big Data Cloud Service
-
Ratings
Dashboards6.73 Ratings00 Ratings
Standard reports6.52 Ratings00 Ratings
Custom reports5.02 Ratings00 Ratings
Function as a Service (FaaS)
Comparison of Function as a Service (FaaS) features of Product A and Product B
AWS Lambda
7.9
3 Ratings
3% below category average
Oracle Big Data Cloud Service
-
Ratings
Programming Language Diversity9.03 Ratings00 Ratings
Runtime API Authoring8.33 Ratings00 Ratings
Function/Database Integration8.33 Ratings00 Ratings
DevOps Stack Integration6.03 Ratings00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
AWS Lambda
-
Ratings
Oracle Big Data Cloud Service
8.1
1 Ratings
0% above category average
Ease of building user interfaces00 Ratings9.01 Ratings
Scalability00 Ratings7.01 Ratings
Platform management overhead00 Ratings9.01 Ratings
Workflow engine capability00 Ratings8.01 Ratings
Platform access control00 Ratings8.01 Ratings
Services-enabled integration00 Ratings8.01 Ratings
Development environment creation00 Ratings9.01 Ratings
Issue recovery00 Ratings7.01 Ratings
Best Alternatives
AWS LambdaOracle Big Data Cloud Service
Small Businesses
IBM Cloud Functions
IBM Cloud Functions
Score 8.1 out of 10
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Score 9.2 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Score 9.2 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS LambdaOracle Big Data Cloud Service
Likelihood to Recommend
9.3
(48 ratings)
10.0
(1 ratings)
Usability
9.0
(13 ratings)
-
(0 ratings)
Support Rating
8.7
(20 ratings)
-
(0 ratings)
User Testimonials
AWS LambdaOracle Big Data Cloud Service
Likelihood to Recommend
Amazon AWS
Scenarios where AWS Lambda is well suited: 1. When we need to run a periodic task few times in a day or every hour, we may deploy it on AWS Lambda so it would not increase load on our server which is handling client requests and at the same time we don't have to pay for AWS Lambda when it is not running. So, overall we only pay for few function invocations. 2. When some compute intensive processing is to be done but the number of requests per unit of time fluctuates. For example, we had deployed an AWS Lambda for processing images into different sizes and storing them on AWS S3 once user uploads them. Now, this is something that may happen few times every hour on a particular day or may not happen even once on other days. To handle this kind of tasks AWS Lambda is a better choice as we don't have to pay for the idle time of the server and also we don't have to worry about scaling when the load is high. Scenarios where AWS Lambda is not appropriate to use: 1. When we expect a large request volume continuously on the server. 2. When we don't want latency even in case of concurrent requests.
Read full review
Oracle
We use it only when we need to and we have found that the software does what it needs to, it's user friendly and us also really helpful in many other ways as well. Like I mentioned before, we love the security and the speed we receive.
Read full review
Pros
Amazon AWS
  • Lambda provides multiple methods for triggering functions, this includes AWS resources and services and external triggers like APIs and CLI calls.
  • The compute provided my Lambda is largely hands off for operations teams. Once the function is deployed, the management overhead is minimal since there are no servers to maintain.
  • Lambda's pricing can be very cost effective given that users are only charged for the time the function runs and associated costs like network or storage if those are used. A function that executes quickly and is not called often can cost next to nothing.
Read full review
Oracle
  • User friendly
  • Offers support and assistance
  • Worth the cost
  • Time efficient
  • Good reliability
  • Reliable support
Read full review
Cons
Amazon AWS
  • Putting a significant portion of your codebase into AWS Lambda and taking advantage of the high level of integration with other AWS services comes with the risk of vendor lock-in.
  • While the AWS Lambda environment is "not your problem," it's also not at your disposal to extend or modify, nor does it preserve state between function executions.
  • AWS Lambda functions are subject to strict time limitations, and will be aborted if they exceed five minutes of execution time. This can be a problem for some longer-running tasks that are otherwise well-suited to serverless delivery.
Read full review
Oracle
  • Less pricey
  • Customizable
  • A little more help in setting up/using the systems
  • Constant upgrades are always pricey
  • Some bugs noticable
Read full review
Usability
Amazon AWS
I give it a seven is usability because it's AWS. Their UI's are always clunkier than the competition and their documentation is rather cumbersome. There's SO MUCH to dig through and it's a gamble if you actually end up finding the corresponding info if it will actually help. Like I said before, going to google with a specific problem is likely a better route because AWS is quite ubiquitous and chances are you're not the first to encounter the problem. That being said, using SAM (Serverless application model) and it's SAM Local environment makes running local instances of your Lambdas in dev environments painless and quite fun. Using Nodejs + Lambda + SAM Local + VS Code debugger = AWESOME.
Read full review
Oracle
No answers on this topic
Support Rating
Amazon AWS
I have not needed support for AWS Lambda, since it is already using Python, which has resources all over the internet. AWS blog posts have information about how to install some libraries, which is necessary for some more complex operations, but this is available online and didn't require specific customer support for.
Read full review
Oracle
No answers on this topic
Alternatives Considered
Amazon AWS
Azure Functions is another product that provides lambda functionality, but the documentation for some of Azure's products is quite hard to read. Additionally, AWS Lambda was one of the first cloud computing products on a large cloud service that implemented lambda functions, so they have had the most time to develop the product, increase the quality of service, and extend functionality to more languages. Amazon, by far, has the best service for Lambda that I know.
Read full review
Oracle
Although new, Oracle has been exceptionally good speed wise and the customer service is top notch
Read full review
Return on Investment
Amazon AWS
  • I was able to perform a lot of processing on data delivered from my website and little or no cost. This was a big plus to me.
  • Programming AWS Lambda is quite easy once you understand the time limits to the functions.
  • AWS Lambda has really good integration with the AWS S3 storage system. This a very good method of delivering data to be processed and a good place to pick it up after processing.
Read full review
Oracle
  • It has had a good impact we are able to complete our projects in time
  • We can save all our data in a safe and secure location
  • Our data analysis is now faster than ever
Read full review
ScreenShots