All news with #zero-etl tag
Tue, November 25, 2025
AWS Glue: Zero-ETL Replication for Self-Managed Databases
🔁AWS Glue now supports zero-ETL for self-managed database sources, enabling no-code replication from Oracle, SQL Server, MySQL, and PostgreSQL hosted on-premises or on EC2 to Amazon Redshift. The feature auto-creates ongoing integrations to simplify setup, reduce operational overhead, and eliminate much of the engineering work previously required to build ingestion pipelines. It is available in multiple AWS Regions and aims to save teams weeks of engineering effort.
Fri, November 21, 2025
AWS Glue zero-ETL now supports CloudFormation & CDK
🚀 AWS Glue zero-ETL integrations now support AWS CloudFormation and the AWS Cloud Development Kit (CDK), enabling creation and management of zero-ETL integrations using infrastructure as code. This lets teams ingest data from DynamoDB and enterprise SaaS sources (Salesforce, ServiceNow, SAP, Zendesk) into Amazon Redshift, S3, and S3 Tables. CloudFormation and CDK support makes it easier to deploy, update, and version-control zero-ETL configurations consistently across multiple AWS accounts.
Thu, November 20, 2025
AWS Glue Adds Zero-ETL Support for More SAP Entities
🔄 AWS Glue now provides full snapshot and incremental zero-ETL ingestion for additional SAP entities. The update adds snapshot ingestion for entities without deletion tracking and timestamp-based incremental loads for non-ODP systems, extending existing ODP support. Organizations can ingest SAP data directly into Amazon Redshift or the lakehouse architecture used by Amazon SageMaker, reducing engineering effort and operational complexity. This feature is available in all Regions where AWS Glue zero-ETL is offered.
Wed, October 15, 2025
Aurora PostgreSQL zero-ETL now integrates SageMaker
🔁 Amazon Aurora PostgreSQL-Compatible Edition now offers zero-ETL integration with Amazon SageMaker, enabling near-real-time replication of PostgreSQL tables into a lakehouse. The synced data conforms to Apache Iceberg open standards and is immediately accessible to SQL, Apache Spark, BI, and ML tools via a simple no-code interface without impacting production workloads. Comprehensive, fine-grained access controls are enforced across analytics engines, and the capability is available in multiple AWS Regions.