Continuous data validation
Automatically validate your data at scaleRethink Data Quality
Bad data can lead to bad business decisions. Torch can validate data on any data asset supported on the hybrid data catalog, across databases – files and streaming data.
Validate every Data Asset
Flexible Rule configuration
Assert data quality all the way from Source to Sink. Torch allows you to measure and compare data quality across all dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness.
Compare Data Assets
Automatically validate ETL flows
ETL errors cause expensive delays and costly backfills. Use Torch to compare data assets continuously and break the flow of bad data.
Works with your Data sources
Connect to any data source, on cloud or in DC
Torch supports data sources across AWS , Google cloud, Azure, Hadoop, File systems , RDBMS, Streaming systems and Snowflake
Built to scale
Scale to millions of rows
Our team comes with deep experience with large scale data processing. We built Torch to scale. No matter how Big your data is, Torch will make sure it meets the KPIs you set for it.
Define your own Business Rules
Data quality rules for your business domain
Extend Torch rules by creating your own rules based on your business domain. Choose from hundreds of pre-created rules for different data domains.
