What Kodda does
- Connects to your sources and targets — SQL Server, Oracle, PostgreSQL, MySQL, Informix, Redshift, Snowflake, Salesforce, Google Analytics 4, Mail Chimp, and delimited or Parquet files on a local file system or S3. See Manage Connections.
- Generates mappings from source tables, views or custom queries, creating the target tables for you with the right data types. See Generate Mapping.
- Loads data with the pattern you choose — full refresh, incremental insert/update, deletes, or Change Tracking. See Edit Mapping and the Examples.
- Orchestrates mappings, SQL scripts and email notifications in workflows, and runs them on a schedule.
- Monitors every run in Map History and Workflow History, with the full log a click away.
- Documents your target tables in a published Data Dictionary.
Where to start
- Getting Started — logging in, the Home screen, users, connections and the common parts of the interface.
- User Guide — every screen, in the order you use them: generate a mapping, edit and run it, build a workflow, schedule it.
- Examples — step-by-step tutorials for loading files from S3 and for incremental loads using row versions and Change Tracking.
- Architecture Guide — how the server, metadata repository, agents and scheduler fit together, and how to scale them.