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Description
digna is a next-generation European data quality and observability platform that empowers organizations to improve data trust, reduce downtime, and uncover actionable insights.
Its five independent modules — Data Anomalies, Data Analytics, Data Timeliness, Data Validation, and Data Schema Tracker — address both data quality and operational/business monitoring. From detecting unexpected drops in record counts to spotting surges in product sales, digna gives you visibility across your entire data ecosystem.
Key advantages:
• In-database processing for full privacy & compliance
• AI-powered anomaly detection with zero manual rules
• Business trend analysis through statistical insights
• Regulatory compliance with flexible validation rules
• Pipeline protection via schema change tracking
Trusted in finance, healthcare, telecom, and government, digna integrates seamlessly with Snowflake, Databricks, Teradata, and more — whether on-premises, in the cloud, or hybrid.
With digna, your data is not just monitored — it’s understood.
Use Cases
Banking & Finance – Detect unusual spikes in transaction volumes to ensure both regulatory compliance and fraud prevention.
Healthcare – Monitor data timeliness to guarantee patient records and lab results arrive on time for critical decision-making.
Retail & eCommerce – Track sales trends and product anomalies to quickly identify fast-moving or underperforming items.
Telecommunications – Prevent schema drift in massive customer databases to avoid broken pipelines and billing errors.
Description
Great Expectations serves as a collaborative and open standard aimed at enhancing data quality. This tool assists data teams in reducing pipeline challenges through effective data testing, comprehensive documentation, and insightful profiling. It is advisable to set it up within a virtual environment for optimal performance. For those unfamiliar with pip, virtual environments, notebooks, or git, exploring the Supporting resources could be beneficial. Numerous outstanding companies are currently leveraging Great Expectations in their operations. We encourage you to review some of our case studies that highlight how various organizations have integrated Great Expectations into their data infrastructure. Additionally, Great Expectations Cloud represents a fully managed Software as a Service (SaaS) solution, and we are currently welcoming new private alpha members for this innovative offering. These alpha members will have the exclusive opportunity to access new features ahead of others and provide valuable feedback that will shape the future development of the product. This engagement will ensure that the platform continues to evolve in alignment with user needs and expectations.
API Access
Has API
API Access
Has API
Integrations
MySQL
SQL Server
Snowflake
Acryl Data
Amazon Redshift
Amazon S3
Apache Airflow
Apache Spark
Astro by Astronomer
Dagster
Integrations
MySQL
SQL Server
Snowflake
Acryl Data
Amazon Redshift
Amazon S3
Apache Airflow
Apache Spark
Astro by Astronomer
Dagster
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
digna GmbH
Founded
2019
Country
Austria
Website
www.digna.ai
Vendor Details
Company Name
Great Expectations
Website
greatexpectations.io
Product 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
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management