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.
Based on our record, Amazon S3 should be more popular than DynamoDB. It has been mentiond 196 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.
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 / 6 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 / 23 days 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 1 month ago
Some data sources are protected by some form of credentials. Unless the data source is a public website or stored in another AWS resource such as Amazon S3, Kendra or your custom data source will need credentials to fetch data. In either case, AWS Secrets Manager can be used to securely manage your credentials. - Source: dev.to / about 1 month ago
📌 Learn about S3: https://aws.amazon.com/s3/. - Source: dev.to / about 1 month ago
In this example, we need to set up two AWS Lambda, AWS Secrets Manager and Amazon DynamoDB resources. - Source: dev.to / about 1 month ago
Amazon DynamoDB revolutionized the NoSQL database world with its flexible data model and high performance. At the core of its architecture, we find two fundamental concepts: Partition Key (PK) and Sort Key (SK). This article explores how these elements not only structure data but also significantly impact application performance and scalability. - Source: dev.to / 3 months ago
ExtractDataFunction:uses Langchain and LangSmith to validate and extract structured JSON info through Bedrock and Sonnet 3.5 v2 and then store it in DynamoDB for later use. - Source: dev.to / 3 months ago
NoSQL: For certain types of data and access patterns, a NoSQL database like MongoDB, ScyllaDB, or DynamoDB might be more suitable for high-concurrency scenarios, as long as your data makes more sense being denormalized. - Source: dev.to / 3 months ago
Amazon's DynamoDB is promoted as a zero-maintenance, virtually unlimited throughput and scale* NoSQL database. Because of its' very low administrative overhead and serverless billing model, it has long been my data store of choice when developing cloud applications and services. - Source: dev.to / 5 months ago
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
AWS Lambda - Automatic, event-driven compute service
Wasabi Cloud Object Storage - Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Storj Object Storage - Storj Distributed Cloud Object Storage Global is an object storage which is fully compatible with Amazon S3, globally distributed in nature, automatically decentralized, always encrypted and lightning fast through parallelization.