DataFlow parses, cleans, validates, and migrates your business data to Snowflake or cloud storage. No data team required.
Three steps. No data team. No custom scripts. Works on any file type.
CSV, Excel, JSON, Parquet, Avro, ORC, XML — drag and drop any format. DataFlow auto-detects the structure.
Trims whitespace, fixes data types, removes duplicates, flags outliers, converts dates — with a full reason trail for every removed row.
Load directly to Snowflake, AWS S3, Azure Blob, or Google Cloud. Download in 9 formats. Table auto-created if it doesn't exist.
Without hiring a data team.
Recursive flatten mirrors Snowflake's LATERAL FLATTEN. Any nested JSON becomes a clean flat table automatically.
Vectorised cleaning engine. Trims, infers types, detects dates, removes nulls and duplicates — all with a reason column explaining every decision.
Auto-generates CREATE TABLE DDL from your schema. Supports Append, Overwrite, and Recreate modes. One click to load.
Push cleaned data directly to AWS S3, Azure Blob Storage, or Google Cloud Storage in any of 9 output formats.
Every removed row gets a detailed reason column — Data missing, Duplicate row, Statistical outlier — downloadable as a separate file.
SHA-256 result caching. Vectorised pandas/numpy operations. Zero recomputation on repeated runs. Built for production scale.
All prices in INR. GST extra. Annual plan saves 2 months.
We'll run a live migration on a sample of your actual data. No commitment.
We work with operations, IT, and finance teams at Indian companies with 50–500 employees who are moving to cloud or cleaning years of legacy data.
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