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What is Yorph AI?
Yorph AI functions as a comprehensive data platform that enhances analytics engineering by creating organized and efficient data pipelines, ensuring that metrics stay consistent amidst data fluctuations, and allowing business users, including product managers, to easily access and analyze data through intuitive visual tools. Additionally, by prioritizing security from the onset, Yorph enables teams to confidently automate their analytics tasks while upholding standards of data privacy, governance, and integrity. This combination of user-friendly access and stringent security measures establishes Yorph as an indispensable asset for organizations aiming to improve their data-driven decision-making processes. As businesses increasingly rely on data insights, the importance of a platform like Yorph becomes even more pronounced.
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.
Media
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Integrations Supported
IBM Netezza Performance Server
MariaDB
MySQL
PostgreSQL Maestro
SAP HANA
SQL Server
Snowflake
Integrations Supported
IBM Netezza Performance Server
MariaDB
MySQL
PostgreSQL Maestro
SAP HANA
SQL Server
Snowflake
API Availability
Has API
API Availability
Has API
Pricing Information
$29.99/month
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
Yorph AI
Date Founded
2025
Company Location
United States
Company Website
yorph.ai/
Company Facts
Organization Name
digna GmbH
Date Founded
2019
Company Location
Austria
Company Website
www.digna.ai
Categories and Features
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