Moving data between databases and storage, building a pipeline in nothing but SQL, and working with an agent that has read your schema. What you’ll see ↓
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Postgres, MySQL, BigQuery, Snowflake, Databricks and SQL Server, plus S3 and GCS. Land a CSV, Parquet or JSON file in your warehouse as a new table, or append it to one you already have.
No DSL and no YAML. A familiar query window, then chain the steps, branch on what the previous one returned, and schedule it — with variables, versioning and QA/production environments from the first query.
It indexes your tables and columns first, so it answers about the data you actually have — and every action it takes is yours to review in a full audit trail.
Every run, every failure, every change — with alerting so you hear about problems before your stakeholders do.
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