Category: Database

Happy New Year! Cloud technologies, machine learning, and generative AI have become more accessible, impacting nearly every aspect of our lives. Amazon CTO Dr. Werner Vogels offers four tech predictions for 2024 and beyond: Generative AI becomes culturally aware FemTech finally takes off AI assistants redefine developer productivity Education evolves to match the speed of […]

Today, we are announcing that your MySQL 5.7 and PostgreSQL 11 database instances running on Amazon Aurora and Amazon Relational Database Service (Amazon RDS) will be automatically enrolled into Amazon RDS Extended Support starting on February 29, 2024. This will help avoid unplanned downtime and compatibility issues that can arise with automatically upgrading to a […]

My memories of Amazon Web Services (AWS) re:Invent 2023 are still fresh even when I’m currently wrapping up my activities in Jakarta after participating in AWS Community Day Indonesia. It was a great experience, from delivering chalk talks and having thoughtful discussions with AWS service teams, to meeting with AWS Heroes, AWS Community Builders, and […]

Today we are announcing the general availability to connect and query your existing MySQL and PostgreSQL databases with support for AWS Cloud Development Kit (AWS CDK), a new feature to create a real-time, secure GraphQL API for your relational database within or outside Amazon Web Services (AWS). You can now generate the entire API for […]

Amazon Redshift puts artificial intelligence (AI) at your service to optimize efficiencies and make you more productive with two new capabilities that we are launching in preview today. First, Amazon Redshift Serverless becomes smarter. It scales capacity proactively and automatically along dimensions such as the complexity of your queries, their frequency, the size of the […]

I am happy to announce the general availability of Amazon Neptune Analytics, a new analytics database engine that makes it faster for data scientists and application developers to quickly analyze large amounts of graph data. With Neptune Analytics, you can now quickly load your dataset from Amazon Neptune or your data lake on Amazon Simple […]

Today, we are announcing the general availability of vector search for Amazon DocumentDB (with MongoDB compatibility), a new built-in capability that lets you store, index, and search millions of vectors with millisecond response times within your document database. Vector search is an emerging technique used in machine learning (ML) to find similar data points to […]

Today, we are announcing the general availability of Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service, which lets you perform a search on your DynamoDB data by automatically replicating and transforming it without custom code or infrastructure. This zero-ETL integration reduces the operational burden and cost involved in writing code for a data pipeline architecture, […]