AWS News Blog

Category: Database

New – Amazon Keyspaces (for Apache Cassandra) is Now Generally Available

We introduced Amazon Managed Apache Cassandra Service (MCS) in preview at re:Invent last year. In the few months that passed, the service introduced many new features, and it is generally available today with a new name: Amazon Keyspaces (for Apache Cassandra). Amazon Keyspaces is built on Apache Cassandra, and you can use it as a fully managed, […]

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CloudWatch Contributor Insights for DynamoDB – Now Generally Available

Amazon DynamoDB provides our customers a fully-managed key-value database service that can easily scale from a few requests per month to millions of requests per second. DynamoDB supports some of the world’s largest scale applications by providing consistent, single-digit millisecond response times at any scale. You can build applications with virtually unlimited throughput and storage. DynamoDB global […]

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Now Available: Amazon ElastiCache Global Datastore for Redis

In-memory data stores are widely used for application scalability, and developers have long appreciated their benefits for storing frequently accessed data, whether volatile or persistent. Systems like Redis help decouple databases and backends from incoming traffic, shedding most of the traffic that would had otherwise reached them, and reducing application latency for users. Obviously, managing […]

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Urgent & Important – Rotate Your Amazon RDS, Aurora, and Amazon DocumentDB (with MongoDB compatibility) Certificates

Feb 5th, 2020: We’ve made an edit to this post. Previously, we had communicated that between February 5 and March 5, 2020, RDS would automatically stage the new certificates on RDS database instances without a restart. Based on customer feedback and to give customers as much time as possible to complete updates, RDS will neither […]

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New – Amazon Managed Apache Cassandra Service (MCS)

Managing databases at scale is never easy. One of the options to store, retrieve, and manage large amounts of structured data, including key-value and tabular formats, is Apache Cassandra. With Cassandra, you can use the expressive Cassandra Query Language (CQL) to build applications quickly. However, managing large Cassandra clusters can be difficult and takes a lot of […]

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New for Amazon Redshift – Data Lake Export and Federated Query

A data warehouse is a database optimized to analyze relational data coming from transactional systems and line of business applications. Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze data using standard SQL and existing Business Intelligence (BI) tools. To get information from unstructured data that would […]

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New for Amazon Aurora – Use Machine Learning Directly From Your Databases

March 23, 2020: Post updated to clarify networking, IAM permissions, and database configurations required to use machine learning from Aurora databases. A new notebook using SageMaker Autopilot gives a complete example, from the set up of the model to the creation of the SQL function using the endpoint. The integrations described in this post are now available for MySQL and […]

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New – Convert Your Single-Region Amazon DynamoDB Tables to Global Tables

[This post has been updated on March 17th 2020. You can now update update existing global tables to the new replication model] Hundreds of thousands of AWS customers are using Amazon DynamoDB. In 2017, we launched DynamoDB global tables, a fully managed solution to deploy multi-region, multi-master DynamoDB tables without having to build and maintain […]

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Now Available – Amazon Relational Database Service (RDS) on VMware

Last year I told you that we were working to give you Amazon RDS on VMware, with the goal of bringing many of the benefits of Amazon Relational Database Service (RDS) to your on-premises virtualized environments. These benefits include the ability to provision new on-premises databases in minutes, make backups, and restore to a point […]

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Migration Complete – Amazon’s Consumer Business Just Turned off its Final Oracle Database

Over my 17 years at Amazon, I have seen that my colleagues on the engineering team are never content to leave good-enough alone. They routinely re-evaluate every internal system to make sure that it is as scalable, efficient, performant, and secure as possible. When they find an avenue for improvement, they will use what they […]

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