Category: Database

Simplify data replication and ingestion from applications such as Salesforce, SAP, ServiceNow, and Zendesk, to Amazon SageMaker Lakehouse and Amazon Redshift.

Effortlessly analyze operational data in Amazon SageMaker Lakehouse, freeing developers from building custom pipelines and enabling seamless insights extraction.

Build highly available, globally distributed apps with microsecond latencies across Regions, automatic conflict resolution, and up to 99.999% availability.

AWS DMS Schema Conversion converts up to 90% of your schema to accelerate your database migrations and reduce manual effort with the power of generative AI.

Monitor Amazon Aurora databases and gain comprehensive visibility into MySQL and PostgreSQL fleets and instances, analyze performance bottlenecks, track slow queries, set SLOs, and explore rich telemetry.

Amazon Data Firehose introduces a new capability that captures database changes and streams updates to a data lake or warehouse, supporting PostgreSQL, MySQL, Oracle, SQL Server, and MongoDB, with automatic scaling and minimal impact on transaction performance.

The spooky season has come and gone now. While there aren’t any Halloween-themed releases, AWS has celebrated it in big style by having a plethora of exciting releases last week! I think it’s safe to say that we have truly entered the ‘pre’ re:Invent stage as more and more interesting things are being released every […]

Aurora PostgreSQL Limitless enables massive horizontal scaling for write throughput and storage by distributing workloads across multiple Aurora instances while using standard PostgreSQL queries and syntax.