Zero-ETL integrations
Zero-ETL
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools.
Lakehouse architecture of Amazon SageMaker unifies all your data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. Lakehouse architecture of Amazon SageMaker gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines. With SageMaker Lakehouse, you also have the flexibility to access and query your data in-place with Apache Iceberg compatible tools and engines. Additionally, you can secure your data with integrated, fine-grained access controls, that are enforced across all your data in all analytic tools and engines. Define permissions once and confidently share data across your organization.
Zero-ETL capabilities in AWS Glue
Zero-ETL integrations in AWS Glue simplify data ingestion and replication from AWS data services and third-party applications to AWS destinations.
AWS services supported by Zero-ETL sources in AWS Glue include:
Amazon DynamoDB
Oracle at AWS, ODB
Third-party applications using AWS Glue connections include:
Facebook Ads
Instagram Ads
Salesforce
Salesforce Marketing Cloud Account Engagement
SAP OData
ServiceNow
Zendesk
Zoho CRM
AWS services supported by Zero-ETL targets in AWS Glue include:
General purpose Amazon S3 bucket via Lakehouse architecture of Amazon SageMaker
Amazon S3 Tables via Lakehouse architecture of Amazon SageMaker
Redshift Managed Storage via Lakehouse architecture of Amazon SageMaker
Amazon Redshift Datawarehouse