Software Alternatives, Accelerators & Startups

AWS Lambda VS DepHell

Compare AWS Lambda VS DepHell 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.

AWS Lambda logo AWS Lambda

Automatic, event-driven compute service

DepHell logo DepHell

:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump ver...
  • AWS Lambda Landing page
    Landing page //
    2023-04-29
  • DepHell Landing page
    Landing page //
    2023-08-28

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.

DepHell features and specs

No features have been listed yet.

Analysis of AWS Lambda

Overall verdict

  • AWS Lambda is a strong choice for developers looking for scalable, event-driven applications with minimal management overhead. It is particularly beneficial for applications that experience intermittent traffic or unpredictable workloads.

Why this product is good

  • AWS Lambda is a popular serverless computing service because it allows users to run code without provisioning or managing servers. It automatically scales applications by running code in response to triggers such as HTTP requests, changes in data, or system events. This can significantly reduce operational overhead and costs, as you only pay for the compute time you consume.

Recommended for

  • Developers building microservices or serverless applications.
  • Companies looking to reduce infrastructure management.
  • Startups wanting to quickly deploy applications with limited operational costs.
  • Organizations needing to integrate with other AWS services for a comprehensive solution.
  • Projects with unpredictable or variable workloads that require automatic scaling.

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

DepHell videos

No DepHell videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to AWS Lambda and DepHell)
Cloud Computing
100 100%
0% 0
Workflow Automation
0 0%
100% 100
Cloud Hosting
100 100%
0% 0
DevOps Tools
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 AWS Lambda and DepHell

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

DepHell Reviews

We have no reviews of DepHell yet.
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Social recommendations and mentions

Based on our record, AWS Lambda seems to be a lot more popular than DepHell. While we know about 277 links to AWS Lambda, we've tracked only 4 mentions of DepHell. 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.

AWS Lambda mentions (277)

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DepHell mentions (4)

  • How to generate setup.py from pyproject.toml
    I've found https://github.com/dephell/dephell but seems to be outdated. Source: over 2 years ago
  • Should i Continue this Project or Abandon it? ; https://github.com/iamDyeus/KnickAI
    I had a few relatively famous projects (like dephell), and at some point I lost my sleep because I was "fixing bugs" in it in my head in the middle of the night. Archiving it, closing issues in everything else, and starting to just write projects for my own fun only was the best decision I ever made. Don't make my mistakes. Don't ask random people on the internet what you should do. Do what you want to do and... Source: almost 3 years ago
  • PDM: A Modern Python Package Manager
    You jest and yet... https://github.com/dephell/dephell Dephell is a converter for python packaging systems. It can turn poetry files into requirements.txt, or setuptools' setup.py into pipenv's Pipfile etc. Python Packaging: There is More Than One Way to Do It. - Source: Hacker News / over 3 years ago
  • [D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit? -> MY OWN CONCLUSIONS
    Not necessarily. You can use Dephell (https://github.com/dephell/dephell) to convert from poetry to the old-fashioned requirements.txt. Source: about 4 years ago

What are some alternatives?

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

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.

Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.

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

Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.

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

Azkaban - Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.