AWS News Blog

Category: Database

New – Amazon DynamoDB Continuous Backups and Point-In-Time Recovery (PITR)

The Amazon DynamoDB team is back with another useful feature hot on the heels of encryption at rest. At AWS re:Invent 2017 we launched global tables and on-demand backup and restore of your DynamoDB tables and today we’re launching continuous backups with point-in-time recovery (PITR). You can enable continuous backups with a single click in […]

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New AWS Auto Scaling – Unified Scaling For Your Cloud Applications

I’ve been talking about scalability for servers and other cloud resources for a very long time! Back in 2006, I wrote “This is the new world of scalable, on-demand web services. Pay for what you need and use, and not a byte more.” Shortly after we launched Amazon Elastic Compute Cloud (EC2), we made it […]

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Amazon Neptune – A Fully Managed Graph Database Service

Of all the data structures and algorithms we use to enable our modern lives, graphs are changing the world everyday. Businesses continuously create and ingest rich data with complex relationships. Yet developers are still forced to model these complex relationships in traditional databases. This leads to frustratingly complex queries with high costs and increasingly poor […]

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Amazon DynamoDB Update – Global Tables and On-Demand Backup

AWS customers in a wide variety of industries use Amazon DynamoDB to store mission-critical data. Financial services, commerce, AdTech, IoT, and gaming applications (to name a few) make millions of requests per second to individual tables that contain hundreds of terabytes of data and trillions of items, and count on DynamoDB to return results in […]

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In The Works – Amazon Aurora Serverless

You may already know about Amazon Aurora. Available in editions that are either MySQL-compatible or PostgreSQL-compatible, Aurora is fully-managed and automatically scales to up to 64 TB of database storage. When you create an Aurora Database Instance, you choose the desired instance size and have the option to increase read throughput using read replicas. If […]

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