Google Cloud Run vs. AWS Lambda
Container computer services can bring exceptional flexibility and efficiency to your development process. By deploying applications via cloud containers, you don’t need to worry about whether users have compatible operating systems. Serverless cloud providers also help you to avoid the burden of managing a large, ever-changing IT infrastructure. Google Cloud Run and AWS Lambda stand out as two cloud services for running serverless containers.
Should you choose one of these cloud services for your organization? Here are some key points to keep in mind:
- Running containers can help companies save processing power and improve efficiency.
- Google Cloud Run and AWS Lambda offer useful features for running containers.
- Virtual machines from Google and AWS come with some free features.
- You have plenty of containerized service options outside of Cloud Run and Lambda.
Google Cloud Run Features
Some key features you should know about Google Cloud include its:
- Ability to work with Python, Java, and other programming languages;
- Pay-per-use pricing, which could help you save money;
- Deployment of containers from source code;
- Easy integration with other Google Cloud Platform services, including Google Kubernetes Engine (GKE), Artifact Registry, Docker, Cloud Build, and Cloud Code;
- Zero server management with Google Cloud Functions (FaaS).
Recommended reading: Google Cloud Run Alternatives and Review
Amazon Web Services Lambda Features
Some companies choose AWS Lambda because it:
- Lets developers build custom back-end services;
- Functions easily with existing code;
- Has built-in fault tolerance to keep containerized processes running;
- Has autoscaling that adapts to fluctuation needs;
- Integrates with other AWS services, including AWS Fargate.
Recommended reading: AWS Lambda Reviews
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Google Cloud Run vs AWS Lambda: Pricing
Google Cloud Run Prices
Google Cloud Run prices differ depending on whether you are in a Tier 1 or Tier 2 area. The service offers some free options, including:
- Networking: 1 GiB free egress per month in North America.
- Requests: 2 million per month.
- Memory: 360,000 GiB seconds per month.
- CPU: 180 vCPU seconds per month.
After that, Tier 1 users can expect to pay:
- $0.000024 per vCPU second.
- $0.0000025 per GiB second.
- $0.40 per million requests.
Tier 2 can expect to pay:
- $0.00003360 per vCPU second.
- $0.0000035 per GiB second.
- $0.40 per million requests.
AWS Lambda Prices
AWS Lambda doesn’t have a straightforward pricing structure. In fact, it gives customers access to a calculator to help them estimate costs. The good news is that companies only pay for the services they use.
The Free Tier of Lambda gives users 1 million requests and 400,000 GiB seconds of compute time per month.
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Google Cloud Run vs AWS Lambda: Reviews
Google Cloud Run Reviews
G2 reviewers give Google Cloud Run 4.5 of 5 stars. Users like that Cloud Run can integrate with other GCP services without API, deploys easily, and doesn’t require extensive technical experience.
Users dislike that Cloud Run has a cold start that can delay access, doesn’t allow as much customization as they would prefer, and doesn’t provide enough DevOps documentation.
AWS Lambda Reviews
AWS Lambda earns 4.5 of 5 stars on G2. Users appreciate that it offers a lot of runtime options and easy integration with other services. They also like its open-source coding.
They dislike the fixed processing power, long start times, and inability to work well with applications that consume a lot of memory.
Alternative Containers and Kubernetes
If you’re not convinced that Cloud Run or AWS Lambda can meet your needs, you might want to explore options like:
- Microsoft Azure Kubernetes Service (AKS)
- Amazon EKS Managed Kubernetes Service
- Amazon ECS Container Orchestration Service
- Azure Container Instances (ACI)
- Knative
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