Category: Announcements

Amazon Timestream for LiveAnalytics is a fast, scalable, and serverless time-series database that makes it straightforward and cost-effective to store and analyze trillions of events per day. You can use Timestream for LiveAnalytics for use cases like monitoring hundreds of millions of Internet of Things (IoT) devices, industrial equipment, gaming sessions, streaming video sessions, financial, […]

With AWS Database Migration Service (AWS DMS), you can migrate your data from relational databases and data warehouses to AWS or a combination of a cloud and on-premises configurations. In June 2023, AWS DMS Serverless was released, which automatically provisions, scales, and manages migration resources to make database migrations straightforward and more cost-effective. It removes the necessity of handling infrastructure tasks like capacity estimation, provisioning, cost-optimization, and managing versions and patching. In this post, we provide an overview of this new feature and present benchmarking results for two use cases.

Amazon DynamoDB is a serverless, NoSQL database service that enables you to develop modern applications at any scale. DynamoDB on-demand mode offers a truly serverless experience that can serve millions of requests per second without capacity planning, and automatic scale down to zero when no requests are being issued against the table. With on-demand mode’s […]

Amazon RDS Performance Insights is a powerful feature of Amazon Relational Database Service (Amazon RDS) that provides real-time and historical insights into your database performance. Whether you’re troubleshooting performance bottlenecks, identifying slow queries, or optimizing your system, Performance Insights is able to help. With Performance Insights, you gain a deeper understanding of your database’s behavior. […]

In this post, we provide an overview of an enhancement to Amazon Managed Blockchain (AMB) Query which enables you to retrieve data on a public blockchain prior to finalization. AMB Query is a fully managed AWS service that provides high quality blockchain data delivered with sub-second latency to applications via uniform APIs across a number […]

When Amazon Relational Database Service (Amazon RDS) launched in 2009, MySQL was the first engine supported on the platform. Since that time, customer use cases have grown and evolved. Amazon RDS for MySQL has supported replication to multiple targets for some time—now it also supports multi-source replication. In this post, we discuss multi-source replication on […]

We are excited to announce the availability of AWS Database Migration Service (AWS DMS) replication engine version 3.5.1. This version provides improvements covering data validation, support for new endpoints, and endpoint settings that were requested by many of our customers. In this post, we highlight a few key features. For the entire list of improvements, […]

As builders in the blockchain space work to deliver applications ready for mainstream adoption, they must spend more time developing features and capabilities for their use case and less time on the undifferentiated tasks such as blockchain node operations, blockchain data extraction, and standard API development. Configuring, provisioning, and maintaining a multitude of public blockchain […]

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports Microsoft SQL Server 2022 for Express, Web, Standard, and Enterprise Editions. You can use SQL Server 2022 features such as accelerated database recovery, intelligent query processing, intelligent performance, monitoring improvements, and resumable online index creations. In this post, we summarize the new features on […]

Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra-compatible database service. With Amazon Keyspaces, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you’re currently using.

Today, we are introducing support for frozen collections in Amazon Keyspaces. With this launch, you can use the frozen keyword and store collection data types (like lists, sets, and maps) as a single, immutable value. In this post, we discuss the benefits and use cases of this new feature, and demonstrate how to create and use frozen collections in Amazon Keyspaces.