Category: Database

Happy New Year! Cloud technologies, machine learning, and generative AI have become more accessible, impacting nearly every aspect of our lives. HAQM 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 HAQM Aurora and HAQM Relational Database Service (HAQM RDS) will be automatically enrolled into HAQM 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 HAQM 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 HAQM Web Services (AWS). You can now generate the entire API for […]

HAQM 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, HAQM 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 HAQM 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 HAQM Neptune or your data lake on HAQM Simple […]

Today, we are announcing the general availability of vector search for HAQM 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 HAQM DynamoDB zero-ETL integration with HAQM 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, […]