Category: Foundational (100)

AWS has been named a Leader for the 11th consecutive year in the 2025 Gartner Magic Quadrant for Cloud Database Management Systems. And, once again, AWS has been positioned highest among all 20 evaluated companies for our Ability to Execute. We believe this reflects our ongoing commitment to giving customers the broadest and deepest set of capabilities to accelerate innovation as well as unparalleled security, reliability, and performance they can trust for their most critical applications.

In this post, I dive deep into fundamental concepts that are important to comprehend the benefits of Aurora DSQL, its feature set, and its underlying components.

In this post, we show how you can use the Database Modernizer workshop to accelerate your database modernization journey from MySQL to Amazon DynamoDB. Traditional approaches to migrating from relational databases to NoSQL solutions like DynamoDB can take several months, requiring extensive expertise in data modeling, application refactoring, and migration strategies. The Database Modernizer workshop, which can be scheduled by your account team as part of the Amazon DynamoDB Immersion Day program, uses AI to help you complete database modernization projects in days instead of months.

Today, Amazon DocumentDB (with MongoDB compatibility) announced that Amazon DocumentDB version 3.6 will reach end of life on March 30, 2026. Starting March 31, 2026, you can continue to run Amazon DocumentDB version 3.6 on Extended Support. Extended Support provides fixes for critical security issues and bugs through patch releases for three years beyond the end of standard support of Amazon DocumentDB version 3.6.

For years, TalentNeuron, a leader in talent intelligence and workforce planning, has been empowering organizations with data-driven insights by collecting and processing vast amounts of job board data. In this post, we share three key benefits that TalentNeuron realized by using Amazon Aurora I/O-Optimized as part of their new data platform: reduced monthly database costs by 29%, improved data validation performance, and accelerated innovation through modernization.

In this post, we explore key strategies and AWS tools to help you successfully migrate your high-throughput relational database while minimizing business disruption.

Amazon DynamoDB enables you to back up your table data continuously by using point-in-time recovery (PITR). When you enable PITR, DynamoDB backs up your table data automatically with per-second granularity. PITR helps protect you against accidental writes and deletes. For example, if a test script accidentally writes to a production DynamoDB table, or someone mistakenly […]

Today, we introduce Amazon Aurora DSQL, the fastest serverless distributed SQL database for always available applications. It offers virtually unlimited scale, highest availability, and zero infrastructure management. It can scale to meet any workload demand without database sharding or instance upgrades. In this post, we discuss the benefits of Aurora DSQL and how to get started.

In this post, we discuss the nature of time-series data, its presence across different types of industries and various use cases it enables.Time-series data is one of the most valuable types of data used today by organizations across industries. Time-series data allows for a more in-depth understanding of changes, patterns, and trends over time. This enables organizations to gain insights into past behaviors and current states, as well as predict future values. The sequential tracking of data at precise time intervals enables both retrospective and prospective analysis that is extremely valuable for strategy, planning, and decision-making across industries. In this post, we discuss the nature of time-series data, its presence across different types of industries and various use cases it enables.

Amazon ElastiCache, a fully managed, Redis OSS- and Memcached-compatible caching service, now supports size flexibility for all its reserved node offerings, enabling your reserved node discount to apply across differently sized node types beyond the size specified in your reservation. With flexible reserved nodes, you no longer need to commit to a specific node size when purchasing a reservation, reducing the overhead of capacity planning and enabling you to right-size your clusters as your workloads and capacity needs change. In this post, we explain how you can use this new size flexibility feature to leverage discounted pricing on your ElastiCache clusters.