Seamless collaboration. Low-code brilliance. Open source integration.
Access any data. On-premises or in the cloud.
Connect to leading cloud data platforms, such as Azure Synapse, AWS Redshift, Google BigQuery, Snowflake, Databricks, relational and nonrelational databases (Oracle, Teradata, MongoDB). SAS Studio even supports open big data file formats (Apache Orc, Apache Parquet).
Choose your path: No code, low code or, yes, code.
Create end-to-end ELT/ETL pipeline using prebuilt steps in a drag-and-drop interface. Or use a code editor if you prefer flexibility and hands-on development. Promote code reusability to address unique data transformation needs with custom steps.
Integrate with open source.
Code and execute Python scripts or add Python steps to create a visual workflow. Schedule and orchestrate your data pipelines with Apache Airflow. Increase developer productivity by integrating SAS with open-source tools to consistently deliver analytics-ready data pipelines.
Give data teams a powerful workspace.
Efficiently prepare and orchestrate your data for better decisions. Resolve code and logic issues through interactive debugging. Schedule jobs to run when you want. Integrate with Git repositories to simplify version control. With SAS Studio, tech and nontech users can collaborate swiftly to simplify analytics workflow.