Metadata-based data entity and transformation design and custom SQL transformations and rules.
Configurable entity (table, view) types and templates for automating development and governance.
Searchable data model and data lineage visualizations for audit trail and impact analysis.
Generation of SQL DDL and DML scripts to be deployed to different environments.
Multi-database support, for generating SQL DDL and DML for different cloud database platforms.
Automatic schema change implementation without stopping data workflows.
Generation of data workflows (directed acyclic graphs) based on model metadata.
Granular configuration of workflows based on entity level dependencies and schedules.
Dynamic load processing with concurrency control.
Monitoring and troubleshooting of dynamic data workflows (DAGs) and loads.
Customized metadata statistics reporting and visualization capabilities.
Data quality tests that can be executed as part of the workflow orchestration, and they can control the success of the workflows.
API connectivity to integrate ADE workflows with customer specific processes.
Integration of metadata to data catalogs or other similar tools.
Provides a revolutionary way for data teams to gain deeper visibility into their work and data investments
Enables data teams to continuously enhance their performance and way of working, and to deliver even greater business value to data users.
Provides business-value insights into data products, allowing business data users to maximize the value of their data assets.
We can't speak for our customers, but we can tell you our customer satisfaction rating exceeds 97%. Hear it from them:
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