Comparison: An evaluation to determine if the structure and content of the source and target data stores match
Comparison Runs: An action to perform a comparison
Completeness: Required fields are fully populated.
Conformity: Alignment of the content to the required standards, schemas, and formats.
Connectors: Components that can be easily connected to and used to integrate with other applications and databases. Common uses include sending and receiving data.
- We can connect to anything within the Spark and Kafka ecosystems, and we have major integrations with leading ELT/ETL providers. If you have a data store we don’t yet support, talk to us!
- We currently support: Files on Object Storage (CSV, JSON, XLSX, Parquet); ETL/ELT Providers (Fivetran, Stitch, Airbyte, Matillion – and any of their connectors!); Data Warehouses (BigQuery, Snowflake, Redshift); Data Pipelining (Airflow, DBT, Prefect), Databases (MySQL, Po stgreSQL, MSSQL, SQLite, etc.) and any other JDBC source
Consistency: The value is the same across all datastores within the organization.
