Flow Types in Etlworks
Browse all supported flow types in Etlworks, from database-to-database and API integrations to file operations, CDC pipelines, and complex nested workflows. Each flow type includes configuration details and usage examples.
- Complex workflow (nested Flow)
- Extract, Transform, and Load (ETL) data
- Any to Any ETL
- Bulk load data into a database
- File operations: Copy, move, rename, delete, zip, and unzip files, create folders
- Change Data Capture (CDC) Flows
- Flows optimized for message queues
- Apply XSL style sheet to XML files
- Execute any JavaScript or Python code
- Execute shell (command line) script in the host OS
- Execute script in the remote host using SSH connection
- Execute any SQL
- Merge data with template
- Call HTTP endpoint
- Send email
- Read emails, save messages and attachments to the folder
- Event-driven Flows
- Snowflake Flows
- Redshift Flows
- Extract and load data in social networks
- Split file
- Merge files
- Work with HL7 messages
- Submit data to Amazon Marketplace
- ETL scenario in XML Format