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.
Features: Connect to local or cloud DynamoDB; Browse data in Table, JSON or DynamoDB JSON view, with paginating and filtering fields; PartiQL queries with autocompletion; API operations with autocompletion and documentation; Easily scan or query your data with simple expression DSL; Keep your favorite requests in project or scratch files or bookmarks; Create, Update or Delete items; Export items to CSV, JSON, DynamoDB JSON; Copy tables or Import from CSV, JSON, DynamoDB JSON
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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 / about 4 hours 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 / 22 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 / 29 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.
Dynobase.dev - Modern DynamoDB IDE Client. Accelerate DynamoDB workflow with sleek Admin UI, visual query builder, codegen and more! Available for Mac, Windows & Linux.
Wasabi Cloud Object Storage - Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.
Dynomate.io - A modern, developer-friendly interface for DynamoDB. Built with SSO, multi-session support, and seamless Git integration.
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