AWS News Blog

Category: Database

Data Compression Improvements in Amazon Redshift Bring Compression Ratios Up to 4x

Maor Kleider, Senior Product Manager with Amazon Redshift, wrote today’s guest post. -Ana Amazon Redshift, is a fast, fully managed, petabyte-scale data warehousing service that makes it simple and cost-effective to analyze all of your data. Many of our customers, including Scholastic, King.com, Electronic Arts, TripAdvisor and Yelp, migrated to Amazon Redshift and achieved agility […]

Amazon Aurora Update – More Cross Region & Cross Account Support, T2.Small DB Instances, Another Region

I’m in catch-up mode again, and would like to tell you about some recent improvements that we have made to Amazon Aurora. As a reminder, Aurora is our high-performance MySQL-compatible (and soon PostgreSQL-compatible) enterprise-class database (read Now Available – Amazon Aurora and Amazon Aurora – New Cost-Effective MySQL-Compatible Database Engine for Amazon RDS for an […]

Amazon RDS – 2016 in Review

Even though we published 294 posts on this blog last year, I left out quite a number of worthwhile launches! Today I would like to focus on Amazon Relational Database Service (RDS) and recap all of the progress that the teams behind this family of services made in 2016. The team focused on four major […]

New – Manage DynamoDB Items Using Time to Live (TTL)

AWS customers are making great use of Amazon DynamoDB. They love the speed and flexibility and build Ad Tech (reference architecture), Gaming (reference architecture), IoT (reference architecture), and other applications that take advantage of the consistent, single-digit millisecond latency. They also love the fact that DynamoDB is a managed, serverless database that scales to handle […]

Amazon Aurora Update – Spatial Indexing and Zero-Downtime Patching

Despite stiff competition from many other AWS services, Amazon Aurora is still the fastest-growing service in AWS history! Our customers love the speed, performance, and availability. They are making great use of the MySQL compatible side of Aurora today, and are looking forward to using the PostgreSQL compatible side in the future (read Amazon Aurora […]