Moving enterprise data around is one of the less glamorous parts of the running modern data stack. Nevertheless, it is critical to getting the right data to the right applications when they need it.

A recent update to Amazon Aurora merges transactional and analytical database models to rev up results for some AWS users. The Amazon Aurora Parallel Query feature, which was in preview since February ...

At its re:Invent conference, Amazon’s AWS cloud computing unit today announced Amazon Aurora DSQL, a new serverless, distributed SQL database that promises high availability (99.999% for multi-region ...

Amazon Aurora PostgreSQL can now query data from a data lake alongside data from the running database. The new function accesses Apache Iceberg tables and Parquet files without first copying them to ...

Amazon Aurora DSQL provides a distributed SQL database with 99.999% multi-Region availability, virtually unlimited scalability, strong consistency, and zero infrastructure management “Databases are a ...

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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Amazon Web Services (AWS) is updating its Amazon Aurora database to make ...

Amazon Aurora PostgreSQL, Amazon DynamoDB, and Amazon RDS for MySQL zero-ETL integrations with Amazon Redshift enable customers to analyze data from multiple sources without building and maintaining ...

Monitoring operational metrics is essential to guarantee reliability, availability and performance within cloud services. Amazon Aurora is a database engine in AWS' Relational Database Service (RDS).