
AWS Lambda
Google Cloud Storage
Amazon CloudFront
Amazon EC2
Amazon AWS
DynamoDB
DigitalOcean
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.

BlueOptima
GitClear
Waydev
CodeClimate
Code Time
Git analytics
GitPrime
Developer productivity and engineering analytics from Git changes. Estimate development effort against a consistent baseline, compare developer, team and contractor contributions, and track trends. Cloud, local and on-premises deployment options.

Which is more popular?
Based on our record, Amazon S3 seems to be more popular. It has been mentioned 214 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | aws.amazon.com | devghost.pro |
| Pricing | — | |
| Platforms | — | |
| Company | Startup from the United States | Startup from Portugal · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery,...
DevGhost is a developer productivity and engineering analytics platform that helps founders, CTOs, and engineering managers understand work delivered by their teams and development contractors. Git-based effort estimation DevGhost analyzes code changes to estimate development work. Its reference...
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
Introduction to Amazon S3
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Amazon S3 and DevGhost.pro.
DevGhost.pro's answer:
DevGhost estimates the substantive work behind Git changes using a consistent reference: a mid-level developer who knows the codebase and works without AI. This makes contributions comparable beyond commit counts and lines of code. Teams can explore individual output, repository-wide trends, and changes in productivity as development workflows evolve. DevGhost also offers fully local analysis: both code processing and analytics run on your machine, with source code and results staying local.
DevGhost.pro's answer:
Choose DevGhost when you need to understand the work delivered by a development team or contractor and compare contributions on a shared scale. It combines effort estimates, developer breakdowns, and productivity timelines in an interactive report. This helps founders and engineering leaders connect progress discussions to actual code changes. With cloud, local, and on-premises options, you can choose a deployment model that fits your workflow and confidentiality requirements.
DevGhost.pro's answer:
DevGhost is built for founders, CTOs, engineering managers, and product owners who need visibility into software development. It is especially useful for organizations working with outsourced development teams, agencies, or freelancers, and for leaders trying to understand how AI-assisted development is changing their team's output.
DevGhost.pro's answer:
DevGhost is built around a simple question: how much substantive work is actually being delivered? Busy teams, frequent commits, and detailed status reports do not always make that clear. AI-assisted development makes the question even more important, as one developer's output can change dramatically. DevGhost brings code changes onto a common reference scale so founders and engineering leaders can see contributions, follow trends, and have more concrete conversations about delivery.
DevGhost.pro's answer:
We do not publish customer names. Engineering productivity and team contribution data can be sensitive, particularly when it involves individual developers or external contractors. We respect the confidentiality of these assessments and the reputations of the people and organizations involved.
DevGhost.pro's answer:
DevGhost is built with TypeScript, React, Next.js, and Node.js. Its Python analysis engine uses Git, Tree-sitter, NumPy, and scikit-learn to process and analyze code changes. The web platform uses PostgreSQL with Prisma, while the local edition uses SQLite. The VS Code and Cursor extension combines TypeScript with React-based webviews. The Windows desktop application is built with Electron and shares the local analysis engine. Cloud and on-premises deployment options are supported through Modal and Docker-based infrastructure.
Share your experience with using Amazon S3 and DevGhost.pro. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Amazon S3 is suitable for applications of any size requiring reliable and scalable storage.
Amazon Simple Storage Service (Amazon S3) is an object storage service with industry-leading scalability, data availability, security, and performance. The service is particularly suitable for enterprise users to...
Amazon S3 is short for Amazon Simple Storage Service, a popular web hosting company among developers that also offers object storage service.
We have no reviews of DevGhost.pro yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


TLS at the API boundary encrypts the payload in transit, but your application is responsible for what happens to the document after the response arrives. If you're writing the rendered PDF to disk, a message queue, or cloud storage, that... - Source: dev.to / 5 months ago
SAM CLI generates the SAMCodeUriServices mapping so that each collection value resolves to its own build artifact. At package time, those paths become Amazon S3 URIs. I don't need to manage any of this. - Source: dev.to / 6 months ago
Fine-tuning adapts an FM to a specific use case with proprietary training data. Titan, Cohere, and Meta models support fine-tuning via Amazon Bedrock. Text models need labelled prompt-completion pairs; image models need Amazon Simple... - Source: dev.to / 6 months ago
Tracking DevGhost.pro since Oct 2026.
When comparing Amazon S3 and DevGhost.pro, you can also consider the following products.


BlueOptima introduces transparent metrics to manage software development resources with automation, standardisation and objectivity for the first time.
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Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
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Data-driven insight for developer impact and code review
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Amazon CloudFront is a content delivery web service.
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Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
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