Software Alternatives, Accelerators & Startups

digitalML VS AWS Lambda

Compare digitalML VS AWS Lambda and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

digitalML logo digitalML

The ignite Platform: a better way to catalog and manage your APIs

AWS Lambda logo AWS Lambda

Automatic, event-driven compute service
  • digitalML ignite Platform Landing Page
    ignite Platform Landing Page //
    2024-05-28
  • digitalML digitalML Website Product Page
    digitalML Website Product Page //
    2024-05-28

The ignite Platform helps large enterprises drive increased revenue and value from their existing APIs, while simultaneously reducing IT inefficiencies, cost, and risk. To do this, ignite provides a unique holistic API catalog for all APIs across all runtimes and lifecycle states, powering tailored API consumer portals to drive effective reuse. All kept active by extended API lifecycle management and connected to your existing IT landscape.

  • AWS Lambda Landing page
    Landing page //
    2023-04-29

digitalML features and specs

  • Holistic API Catalog
    Provides a connected, unified, and actionable view of every API, Service, and Events you have, across all runtimes and lifecycle states.
  • API Consumer Portals
    Tailored consumption experiences for driving adoption and reuse of your best APIs across internal, partner, and public ecosystems.
  • Extended API Lifecycle Management
    For capturing and demystifying API complexity, supporting common patterns, and automating API lifecycle management (including your legacy assets) at scale in a standardized and secure, yet frictionless and flexible way.

AWS Lambda features and specs

  • Scalability
    AWS Lambda automatically scales your application by running your code in response to each trigger. This means no manual intervention is required to handle varying levels of traffic.
  • Cost-effectiveness
    You only pay for the compute time you consume. Billing is metered in increments of 100 milliseconds and you are not charged when your code is not running.
  • Reduced Operations Overhead
    AWS Lambda abstracts the infrastructure management layer, so there is no need to manage or provision servers. This allows you to focus more on writing code for your applications.
  • Flexibility
    Supports multiple programming languages such as Python, Node.js, Ruby, Java, Go, and .NET, which allows you to use the language you are most comfortable with.
  • Integration with Other AWS Services
    Seamlessly integrates with many other AWS services such as S3, DynamoDB, RDS, SNS, and more, making it versatile and highly functional.
  • Automatic Scaling and Load Balancing
    Handles thousands of concurrent requests without managing the scaling yourself, making it suitable for applications requiring high availability and reliability.

Possible disadvantages of AWS Lambda

  • Cold Start Latency
    The first request to a Lambda function after it has been idle for a certain period can take longer to execute. This is referred to as a 'cold start' and can impact performance.
  • Resource Limits
    Lambda has defined limits, such as a maximum execution timeout of 15 minutes, memory allocation ranging from 128 MB to 10,240 MB, and temporary storage up to 512 MB.
  • Vendor Lock-in
    Using AWS Lambda ties you into the AWS ecosystem, making it difficult to migrate to another cloud provider or an on-premises solution without significant modifications to your application.
  • Complexity of Debugging
    Debugging and monitoring distributed, serverless applications can be more complex compared to traditional applications due to the lack of direct access to the underlying infrastructure.
  • Cold Start Issues with VPC
    When Lambda functions are configured to access resources within a Virtual Private Cloud (VPC), the cold start latency can be exacerbated due to additional VPC networking overhead.
  • Limited Execution Control
    AWS Lambda is designed for stateless, short-running tasks and may not be suitable for long-running processes or tasks requiring complex orchestration.

digitalML videos

ignite Platform Explainer Video

AWS Lambda videos

AWS Lambda Vs EC2 | Serverless Vs EC2 | EC2 Alternatives

More videos:

  • Tutorial - AWS Lambda Tutorial | AWS Tutorial for Beginners | Intro to AWS Lambda | AWS Training | Edureka
  • Tutorial - AWS Lambda | What is AWS Lambda | AWS Lambda Tutorial for Beginners | Intellipaat

Category Popularity

0-100% (relative to digitalML and AWS Lambda)
APIs
100 100%
0% 0
Cloud Computing
0 0%
100% 100
API Tools
100 100%
0% 0
Cloud Hosting
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare digitalML and AWS Lambda

digitalML Reviews

We have no reviews of digitalML yet.
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AWS Lambda Reviews

Top 7 Firebase Alternatives for App Development in 2024
AWS Lambda is suitable for applications with varying workloads and those already using the AWS ecosystem.
Source: signoz.io

Social recommendations and mentions

Based on our record, AWS Lambda seems to be more popular. It has been mentiond 274 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

digitalML mentions (0)

We have not tracked any mentions of digitalML yet. Tracking of digitalML recommendations started around Mar 2021.

AWS Lambda mentions (274)

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What are some alternatives?

When comparing digitalML and AWS Lambda, you can also consider the following products

Postman - The Collaboration Platform for API Development

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale

Google Cloud Endpoints - Google Cloud Endpoints provides the tools to develop, deploy, protect and monitor your APIs.

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

Apigee - Intelligent and complete API platform