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    digna GmbH

    digna is a European Data Quality & Observability platform that runs inside the customer’s infrastructure. It monitors data pipelines, tables, and business metrics to detect anomalies, validate data, and ensure reliability across platforms like Databricks, Teradata, and PostgreSQL. With a modular, table-based licensing model, digna helps organizations improve data trust, control costs, and gain actionable insights.

    ATAustria·Founded 2020
    Headquarters
    🇦🇹Austria
    Data Hosting
    AustriaCustomer-defined
    Structure
    Independent
    Compliance
    ▣GDPR◆EU HQ▦EU Data

    digna GmbH key facts

    Last updated
    Legal entity
    digna GmbH
    Headquarters
    Austria (AT)
    Ownership
    Independent
    Founded
    2020
    Data hosting
    Austria, Customer-defined
    Deployment
    SaaS
    Open source
    No
    US Cloud Act exposure
    Low (no US parent)
    Replaces
    Informatica Data Quality, Collibra Data Quality, Anomalo, Monte Carlo Data, Soda.io

    About digna GmbH

    digna is a Vienna-based technology company specializing in AI-driven data quality management. The platform is designed to automate the traditionally manual and reactive process of identifying data errors, offering rapid assessments that deliver comprehensive quality reports within days. By leveraging machine learning, it identifies subtle anomalies across large datasets that traditional rule-based systems might miss. The service is particularly focused on high-compliance sectors such as financial services and healthcare. Its architecture is built with a 'privacy-first' approach, where quality checks are executed within the client's own controlled environment, ensuring that sensitive customer information is not extracted or moved. This flexibility allows enterprises to deploy the solution either as a managed cloud service or on-premises to align with strict internal security policies.

    Alternative to

    Informatica Data QualityCollibra Data QualityAnomaloMonte Carlo DataSoda.io

    Target Segments

    EnterpriseSMB

    Deployment Options

    SaaS

    Key Features

    Automated data quality analysis and reporting
    AI-driven anomaly detection
    Autometrics (data profiling over time)
    Real-time monitoring dashboards
    Instant anomaly notifications via alerts
    Privacy-preserving architecture (local execution)
    Domain-agnostic design for finance and healthcare sectors

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