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Average Ratings 0 Ratings
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
Elementary is a platform focused on data observability and reliability tailored for analytics and data engineering groups. It provides comprehensive monitoring of data pipelines and warehouse assets, identifying anomalies related to freshness, volume, schema, and quality, while integrating results from dbt and custom tests into a unified interface. Teams can delve into incidents, trace impacts at the column level, assess data health and performance, and oversee asset descriptions, ownership, and governance protocols. The addition of Elementary Cloud enhances the platform with dashboards, alert routing, collaborative features, a catalog, and AI-driven workflows. Furthermore, an open-source self-hosting option facilitates code-first monitoring within the client's environment. The platform seamlessly integrates with various tools including warehouse, transformation, BI, orchestration, coding, and messaging systems. Its MCP server enables the connection of AI tools with the contextual data from Elementary. Catering to the needs of data, analytics, and platform teams, it also assists business users in locating, verifying, monitoring, and comprehending their data. Ultimately, Elementary empowers organizations to uphold data integrity and enhance decision-making processes through better visibility and collaboration.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Snowflake
Yes
Amazon Redshift
No
Apache Airflow
No
Databricks
No
GitHub
No
GitLab
No
Google Cloud BigQuery
No
IBM Netezza Performance Server
Yes
Looker
No
MariaDB
Yes
Integrations
Snowflake
Yes
Amazon Redshift
Yes
Apache Airflow
Yes
Databricks
Yes
GitHub
Yes
GitLab
Yes
Google Cloud BigQuery
Yes
IBM Netezza Performance Server
No
Looker
Yes
MariaDB
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Elementary Cloud pricing is based on seats and environments. Scale includes up to 10 editor seats and 1,000 tables; Enterprise includes up to 20 editor seats, 40 viewer seats, and 3,000 tables; Unlimited includes unlimited seats and 3,000 tables. Additional monitored-table capacity and AI Layer credits incur extra charges.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
digna GmbH
Founded
2019
Country
Austria
Website
www.digna.ai
Vendor Details
Company Name
Elementary Data
Founded
2021
Country
Israel
Website
www.elementary-data.com
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Quality
Address Validation
Yes
Data Deduplication
Yes
Data Discovery
Yes
Data Profililng
Yes
Master Data Management
Yes
Match & Merge
Yes
Metadata Management
Yes
Product Features
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No