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This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! A new week starts, and Spring is almost here! If you’re curious about AWS news from the previous seven days, I got you covered. Last Week’s Launches Here are the Read more about AWS Week in Review – March 20, 2023[…]
Ten years ago, just a few months after I joined AWS, Amazon Redshift was launched. Over the years, many features have been added to improve performance and make it easier to use. Amazon Redshift now allows you to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes. More recently, Amazon Redshift Read more about New for Amazon Redshift – General Availability of Streaming Ingestion for Kinesis Data Streams and Managed Streaming for Apache Kafka[…]
Amazon Neptune is a fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. With Neptune, you can use open and popular graph query languages to execute powerful queries that are easy to write and perform well on connected data. You can use Neptune for Read more about Introducing Amazon Neptune Serverless – A Fully Managed Graph Database that Adjusts Capacity for Your Workloads[…]
With the Graviton Challenge last year, we helped customers migrate to Graviton-based EC2 instances and get up to 40 percent price performance benefit in as little as 4 days. Tens of thousands of customers, including 48 of the top 50 Amazon Elastic Compute Cloud (Amazon EC2) customers, use AWS Graviton processors for their workloads. In Read more about Graviton Fast Start – A New Program to Help Move Your Workloads to AWS Graviton[…]
Last year at re:Invent, we introduced the preview of Amazon Redshift Serverless, a serverless option of Amazon Redshift that lets you analyze data at any scale without having to manage data warehouse infrastructure. You just need to load and query your data, and you pay only for what you use. This allows more companies to Read more about Amazon Redshift Serverless – Now Generally Available with New Capabilities[…]
Many of our customers are telling us they want to move away from commercial database vendors to avoid expensive costs and burdensome licensing terms. But migrating away from commercial and legacy databases can be time-consuming and resource-intensive. When migrating your databases, you can automate the migration of your database schema and data using the AWS Read more about Goodbye Microsoft SQL Server, Hello Babelfish[…]
Managing databases in self-managed environments such as on premises or Amazon Elastic Compute Cloud (Amazon EC2) requires customers to spend time and resources doing database administration tasks such as provisioning, scaling, patching, backups, and configuring for high availability. So, hundreds of thousands of AWS customers use Amazon Relational Database Service (Amazon RDS) because it automates Read more about Amazon RDS Custom for Oracle – New Control Capabilities in Database Environment[…]
Interactive applications need to process requests and respond very quickly, and this requirement extends to all the components of their architecture. That is even more important when you adopt microservices and your architecture is composed of many small independent services that communicate with each other. For this reason, database performance is critical to the success Read more about Introducing Amazon MemoryDB for Redis – A Redis-Compatible, Durable, In-Memory Database Service[…]
Hundreds of thousands of AWS customers have chosen Amazon DynamoDB for mission-critical workloads since its launch in 2012. DynamoDB is a nonrelational managed database that allows you to store a virtually infinite amount of data and retrieve it with single-digit-millisecond performance at any scale. To get the most value out of this data, customers had Read more about New – Export Amazon DynamoDB Table Data to Your Data Lake in Amazon S3, No Code Writing Required[…]
Time series are a very common data format that describes how things change over time. Some of the most common sources are industrial machines and IoT devices, IT infrastructure stacks (such as hardware, software, and networking components), and applications that share their results over time. Managing time series data efficiently is not easy because the Read more about Store and Access Time Series Data at Any Scale with Amazon Timestream – Now Generally Available[…]