digna Platform¶
digna is a platform for Data Quality and Data Observability, designed to run entirely inside the customer’s environment.
It is never delivered as Software as a Service — the digna team has no access to customer data.
This ensures maximum privacy, security, and compliance.
Deployment Options¶
-
On-Premises
digna can be installed directly in the customer’s own infrastructure, fully under their control. -
Private Cloud
Runs in the customer’s private or hybrid cloud environments (VMs, containers, or Kubernetes).
The platform adapts to the existing cloud strategy without requiring external services.
In-Database Execution¶
digna executes checks and anomaly detection logic directly inside the database engine.
This approach reduces data movement, leverages native database performance, and ensures that monitoring happens as close to the data as possible.
Key Capabilities¶
- Continuous monitoring of data volumes, distributions, and consistency
- Automated validation of business and technical rules
- Detection of late or missing data deliveries
- Alerts on structural changes in tables or views
- Analysis of historical trends in data quality and reliability
Benefits¶
- Full Data Control – customer environment only, no external access
- Compliance by Design – suited for regulated industries with strict data policies
- Performance – in-database execution reduces overhead and scales efficiently
- Flexibility – same platform across on-prem and private cloud setups
- Fast Deployment – installation within hours, upgrades in less than one hour
Integrations¶
digna connects to:
- Databases & Warehouses: Teradata, Snowflake, BigQuery, Redshift, Oracle, PostgreSQL, SQL Server, MySQL
- Data Lakes / Lakehouses: Hadoop, Databricks
- ETL & Processing: Spark, Airflow, dbt, Informatica, Talend