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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
LotusEye offers a cloud-based service for AI-driven anomaly detection that autonomously acquires knowledge of standard behavior from numerical or sensor data provided in CSV format and consistently computes anomaly scores to identify irregularities that could signify faults or unforeseen activities, delivering notifications and visual analytics without necessitating any machine learning expertise from users. The service accommodates both wide-format CSV files, where every row corresponds to sensor readings at specific timestamps, and long-format CSV files that include timestamp, sensor name, and value columns, allowing users to upload their data either through a simple drag-and-drop interface or via an API for automated processing on a scheduled basis. Once an AI model is trained using data from normal operations, users can then input test data to obtain calculated anomaly scores and view these results on dashboards featuring time-series graphs, threshold markers, and filtering options, which assist teams in identifying unusual trends and probing potential concerns swiftly. This streamlined process enhances operational efficiency and empowers teams to act on insights generated by the platform.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Google Sheets
No
IBM Netezza Performance Server
Yes
MariaDB
Yes
Microsoft Excel
No
MySQL
Yes
PostgreSQL Maestro
Yes
SAP HANA
Yes
SQL Server
Yes
Snowflake
Yes
Integrations
Google Sheets
Yes
IBM Netezza Performance Server
No
MariaDB
No
Microsoft Excel
Yes
MySQL
No
PostgreSQL Maestro
No
SAP HANA
No
SQL Server
No
Snowflake
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$13 per month
Free Trial
No
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
No
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
LotusEye
Country
Japan
Website
lotuseye.co.jp/
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