Orchestrate Your ETL and Analytics on AWS
Take advantage of the Amazon Web Services (AWS) ecosystem with a single tool for visibility and control of your workloads so you can deliver continuous data under constant change.
StreamSets is proud to be an AWS Advanced Technology Partner. That means StreamSets stays up to date with the latest developments in the AWS cloud and provides native integration with AWS Linux 2, Redshift, Kinesis, S3, and EMR. StreamSets’ smart data pipelines detect and handle change to prevent data loss and corruption in your data warehouse and reports.
Native Integrations to Amazon Web Services
Power your AWS data projects with rapid data integration and transformations.
Accelerate these AWS Use Cases
Extend to Databricks and Snowflake
Leverage Databricks UAP and Delta Lake or setup a data warehouse and data marts with Snowflake. Streamsets manages the data into S3 where users can load into Redshift, EMR, and more to perform analytics, ETL, and data science. Connect those services to platforms hosted on AWS.
Power of AWS without the Complexity
Detect and Respond to Data Drift
Traditional data pipelines break when the unexpected happens, and they are hard to move to new data processing and cloud platforms without complex refactoring. Only StreamSets DataOps Platform features smart data pipelines with built-in data drift detection and handling, and a hybrid cloud architecture, so that your operations run smoothly despite constant change.
In a static data world, up-front developer productivity matters more than operations. In a continuous data world, operations is everything. StreamSets runs natively in AWS so you can design, deploy, and operate your pipelines all in the cloud. StreamSets monitors data in flight to detect changes and predicts downstream issues to ensure continuous data delivery without errors or data loss.
Go Fast and Be Confident
When your business moves fast on a traditional architecture, things break. But when you take your time, you fall behind. StreamSets DataOps Platform on AWS gives you end-to-end transparency across your data infrastructure, so you can detect emergent patterns and designs.