Amazon S3 VS FUNCTION12
Compare Amazon S3 VS FUNCTION12 and see what are their differences
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Amazon S3
Google Cloud Storage
Wasabi Cloud Object Storage
AWS Lambda
Storj Object Storage
Contabo Object Storage
Hetzner Object Storage
Alibaba Object Storage Service
FUNCTION12
Anima App
Polipo.io
Locofy.ai
Builder.io
DhiWise
react-testing-library
Function12.io
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, data archives, big data sets and multimedia.
FUNCTION12 offers three products: DevMode, DevMode Plus, and CodeGen. The features include
DevMode ✅Lifetime Free ✅Pixel-perfect design, aIl inspectors
DevMode Plus ✅Re-analyzes and Auto-adjusts Designs ✅Automatically Configures Vectors, Images, and SVGs
CodeGen ✅Holistic Design, Scene, and Object Relationship Analysis ✅Component Analysis and Automatic Conversion ✅Comprehensive Code Generation for Projects ✅Support for Multiple Frameworks and Code Styles ✅Class Name Auto-completion and Styling
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Based on our record, Amazon S3 seems to be more popular. It has been mentiond 198 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.
Takeaway: S3 is feature-rich and great for complex workflows. Cloud Storage is simpler and faster for global access. Explore S3 documentation. - Source: dev.to / 1 day ago
To address this, the team introduced a conditional frontend build mechanism. Using git diff with the three-dot notation, it detects whether a PR includes frontend changes compared to the main branch. If no changes are detected, the frontend build step is skipped, reusing a prebuilt version stored in AWS S3 and served via an internal Content Delivery Network (CDN). - Source: dev.to / 23 days ago
In this article, we present an architecture that demonstrates how to collect application logs from Amazon Elastic Kubernetes Service (Amazon EKS) via Vector, store them in Amazon Simple Storage Service (Amazon S3) for long-term retention, and finally query these logs using AWS Glue and Amazon Athena. - Source: dev.to / 30 days ago
Iceberg has quietly become the foundation of the modern data lakehouse. More and more engineering teams are adopting it to store and manage analytical data in cloud storage — like Amazon S3, Google Cloud Storage, or Azure Data Lake Storage — while freeing themselves from the limitations of closed systems. - Source: dev.to / about 2 months ago
AWS Lambda is perfect for applications that process images due to its integration with AWS S3, an object storage service. A good example is an e-commerce application that renders images in different sizes. Here are the top features:. - Source: dev.to / about 2 months ago
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
Anima App - Design, get feedback, convert to code, publish, iterate.
Wasabi Cloud Object Storage - Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.
Polipo.io - Implement any design in just a few lines of code. Keep design and product synchronized, in real-time.
AWS Lambda - Automatic, event-driven compute service
Locofy.ai - Locofy.ai helps builders launch 4-5x faster by converting designs to production ready code.