digna Platform¶

European Platform for Data Quality and Data Observability¶

digna is an AI-driven platform for Data Quality and Observability, designed to operate entirely inside your environment — on-premises or in your private cloud.
It ensures continuous control over the quality of data, data consistency, and timely delivery.

The platform is never delivered as SaaS. The digna team has no access to customer data, guaranteeing maximum privacy, security, and regulatory compliance.

Deployment Options: On-Premises & Private Cloud¶

On-Premises
Install digna directly in your own infrastructure — under full customer control and isolated from external services.
Private Cloud
Run digna within your private or hybrid cloud environments (VMs, containers, or Kubernetes). It adapts to your architecture while maintaining full data sovereignty.

In-Database Execution for High-Performance Data Monitoring¶

digna executes all data quality checks and anomaly detection logic inside your database engine.
This unique approach minimizes data movement, leverages native performance, and ensures observability of data as close to the source as possible.

Key Capabilities for Continuous Monitoring and Observability¶

Continuous tracking of data volumes, distributions, and consistency
Automated validation of technical and business rules
Detection of missing or delayed data deliveries
Alerts on schema or structural changes
Historical trend analysis for long-term data reliability and quality

Benefits of digna’s Approach to Data Quality and Observability¶

Full Data Control – data never leaves your environment
Compliance by Design – ideal for regulated sectors (finance, healthcare, telecom)
Performance – in-database execution reduces latency and scales efficiently
Flexibility – same platform across on-prem and private cloud setups
Fast Deployment – installation within hours, upgrades in under one hour

Integrations with Major Data Platforms¶

digna connects seamlessly with:

Databases & Warehouses: Teradata, Snowflake, BigQuery, Redshift, Oracle, PostgreSQL, SQL Server, MySQL
Data Lakes / Lakehouses: Hadoop, Databricks
ETL & Processing Tools: Spark, Airflow, dbt, Informatica, Talend

Frequently Asked Questions¶

What is the digna platform?
An AI-based solution for improving the quality of data and observability of data, operating completely within your own environment.

Is digna a SaaS solution?
No. digna is installed on-premises or in your private cloud, not delivered as Software as a Service.

Which databases does digna support?
digna integrates with Teradata, Snowflake, Databricks, Oracle, PostgreSQL, and many others.

Why choose digna over cloud-based tools?
Because it combines AI, full data sovereignty, and in-database monitoring — ensuring reliable data pipelines and regulatory compliance.

For use cases and industry applications, visit digna.ai.