Continuous data validation

Automatically validate your data at scale

Rethink 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.

Know more about Torch Data Validation

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