Software Alternatives, Accelerators & Startups

Google Cloud Endpoints VS AWS Lambda

Compare Google Cloud Endpoints 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.

Google Cloud Endpoints logo Google Cloud Endpoints

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

AWS Lambda logo AWS Lambda

Automatic, event-driven compute service
  • Google Cloud Endpoints Landing page
    Landing page //
    2023-09-19
  • AWS Lambda Landing page
    Landing page //
    2023-04-29

Google Cloud Endpoints features and specs

  • Scalability
    Google Cloud Endpoints can handle varying loads due to Google's infrastructure, making it easier to scale applications without worrying about server management.
  • Security
    It provides robust security features like authentication, API key validation, and integration with Google Cloud IAM, helping to secure your APIs effectively.
  • Monitoring and Logging
    Offers integrated support for Google Cloud's monitoring and logging services, which makes it easier to track API performance and diagnose issues.
  • Developer Productivity
    Simplifies API management tasks with features like API versioning, documentation, and support for OpenAPI specifications, speeding up development cycles.
  • Easy Integration
    Seamlessly integrates with other Google Cloud services, streamlining the development process for applications that use multiple cloud tools.

Possible disadvantages of Google Cloud Endpoints

  • Learning Curve
    Developers unfamiliar with Google Cloud services may face a steep learning curve due to the comprehensive nature of the platform.
  • Cost
    While it offers many features, the costs associated with using Google Cloud Endpoints can add up, especially for large-scale applications.
  • Platform Lock-In
    Using Google Cloud Endpoints ties your infrastructure to Google Cloud, which may limit flexibility if you plan to use multi-cloud or hybrid cloud strategies.
  • Complexity in Setup
    Initial setup and configuration can be complex, particularly for those who need a custom configuration or are integrating with existing systems.
  • Limited Customization
    While it covers many use cases, there might be limitations in customizability compared to building a completely bespoke API solution.

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.

Google Cloud Endpoints videos

Google Cloud Endpoints and Apigee Edge - Google Cloud Platform Fundamentals: Core Infrastructure

More videos:

  • Review - OPEN DX 2020 Special LT:Understand Google Cloud Endpoints in 5 minutes

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 Google Cloud Endpoints and AWS Lambda)
API Tools
100 100%
0% 0
Cloud Computing
0 0%
100% 100
APIs
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 Google Cloud Endpoints and AWS Lambda

Google Cloud Endpoints Reviews

We have no reviews of Google Cloud Endpoints 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 a lot more popular than Google Cloud Endpoints. While we know about 274 links to AWS Lambda, we've tracked only 4 mentions of Google Cloud Endpoints. 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.

Google Cloud Endpoints mentions (4)

  • Serverless Security Best Practices
    Moreover, integrating rate limiting can thwart DDoS attacks, and schema validation can prevent malformed requests, ensuring only legitimate and well-formed traffic reaches your serverless functions. Tools like Amazon API Gateway, Azure API Management, and Google Cloud Endpoints offer these capabilities, allowing you to set up custom authorization workflows and request validation rules that align with your security... - Source: dev.to / about 1 year ago
  • API Gateway VS API Endpoints VS Apigee
    AFAIK, API Gateway is just managed Cloud Endpoints, which are just ESPv2 containers. Cloud Endpoints are still a thing but I would agree that they are a bit dead, as they don't support OpenAPI v3, which was released in 2016. See this support ticket from 2018: https://issuetracker.google.com/issues/78271318?pli=1. Source: over 2 years ago
  • What is Google Cloud Endpoints? How does it compare to just hosting a backend?
    For reference: https://cloud.google.com/endpoints. Source: almost 4 years ago
  • How to provide access to my Cloud Run service to myself.
    Use Cloud Endpoints in front of your service, which gives more options for authentication, including JWT. Here's an intro (the English is poor, but advice is sound.). Source: about 4 years ago

AWS Lambda mentions (274)

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What are some alternatives?

When comparing Google Cloud Endpoints 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

Django REST framework - Django REST framework is a toolkit for building web APIs.

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

Apiary - Collaborative design, instant API mock, generated documentation, integrated code samples, debugging and automated testing