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What is Digna?
digna is a next-generation data quality and observability platform designed to help organizations build trust in their data, detect issues early, and understand how their data behaves over time.
As data environments grow in complexity, traditional monitoring approaches are no longer enough. digna goes beyond static checks and dashboards by combining observability with analytics, enabling teams to not only detect anomalies but also interpret patterns, trends, and changes in data behavior.
Comprehensive Data Observability Across Your Entire Platform
digna is built as a modular platform with five independent components that can be deployed together or separately, depending on your needs:
* Data Anomalies — Detect unexpected changes in data volumes, distributions, and behavior using AI-driven anomaly detection without manual rules
* Data Analytics — Understand trends, patterns, and seasonality through built-in time-series analysis
* Data Timeliness — Monitor data delivery and ensure pipelines meet expected arrival times
* Data Validation — Enforce data quality rules and compliance with flexible, scalable validation logic
* Data Schema Tracker — Detect schema changes in real time to prevent pipeline failures and downstream issues
Together, these modules provide full visibility into both data quality and business data behavior.
Key Advantages
* In-database processing ensures data never leaves your environment, supporting privacy, security, and regulatory compliance
* AI-driven anomaly detection eliminates the need for manually defined rules
* Built-in analytics capabilities enable teams to understand data trends and behavior without external tools
* Scalable validation framework supports consistent data quality across complex data environments
* Schema change tracking protects pipelines from breaking changes
Designed for Modern Data Platforms
digna integrates seamlessly with leading data platforms including Snowflake, Databricks, Teradata, and more.
What is DataTrust?
DataTrust is engineered to accelerate testing phases and reduce delivery expenses by enabling continuous integration and continuous deployment (CI/CD) of data. It offers an all-encompassing toolkit for data observability, validation, and reconciliation at a large scale, all without requiring any coding skills, thanks to its intuitive interface. Users can easily compare data, validate its accuracy, and conduct reconciliations using customizable scenarios that can be reused. The platform streamlines testing processes, automatically generating alerts when issues arise. It features dynamic executive reports that provide insights into various quality metrics, as well as tailored drill-down reports with filtering options. Furthermore, it allows for the comparison of row counts across different schema levels and multiple tables, in addition to enabling checksum data comparisons for enhanced accuracy. The quick generation of business rules through machine learning contributes to its adaptability, giving users the flexibility to accept, modify, or reject rules according to their needs. Additionally, it supports the integration of data from various sources, ensuring a comprehensive set of tools for analyzing both source and target datasets. Overall, DataTrust is not only a powerful solution for improving data management practices across various organizations but also a versatile platform that adapts to the changing needs of its users.
Integrations Supported
Snowflake
Amazon Redshift
Amazon Web Services (AWS)
Confluence
Docker
Google Cloud Platform
IBM Cognos Analytics
IBM Netezza Performance Server
Looker
MariaDB
Integrations Supported
Snowflake
Amazon Redshift
Amazon Web Services (AWS)
Confluence
Docker
Google Cloud Platform
IBM Cognos Analytics
IBM Netezza Performance Server
Looker
MariaDB
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
digna GmbH
Date Founded
2019
Company Location
Austria
Company Website
www.digna.ai
Company Facts
Organization Name
RightData
Date Founded
2016
Company Location
United States
Company Website
www.getrightdata.com/product/datatrust
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Categories and Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management