Dignadigna GmbH
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Fraoula Data AuditorFraoula
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Related Products
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About
digna is a data quality and observability platform designed to monitor, analyze, and validate data directly within enterprise data environments.
It combines anomaly detection, time-series analytics, and validation into a unified system that helps teams detect issues early and understand how data behaves over time.
Core Capabilities
* Data Anomaly Detection
Identifies changes in data volume, distribution, and behavior using statistical methods and AI-driven models without relying on manually defined rules.
* Time-Series Analytics
Built-in analytical methods (regression, pattern detection, seasonality analysis) allow users to interpret trends and deviations directly within the platform.
* Data Timeliness Monitoring
Tracks expected data arrival times and identifies delays across pipelines and data flows.
* Data Validation
Supports rule-based validation with reusable templates and centralized definitions of allowed values.
* Schema Change Tracking
Detects structural changes in dat
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About
Fraoula Data Auditor is a data quality assessment and schema-auditing product for data engineering, analytics, governance, and compliance teams. It reviews data structures and sample records for schema drift, field-type mismatches, null-rate issues, anomalous values, and other rule violations, then presents findings in a risk report with suggested corrective actions. Teams can use it to evaluate pipelines that feed warehouses, analytics, risk systems, or AI workloads, including in finance and healthcare. The available workflows include a short browser-based assessment and broader audits, with cloud-hosted and self-hosted deployment options. Results help teams identify data risks and plan remediation before downstream use.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data warehouses, data lakes, data lakehouses, banks, retail, hospitals
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Audience
Data engineering, data platform, analytics engineering, governance, security, compliance, and enterprise architecture teams in regulated industries. Best suited for Fintech, Healthtech, financial services, insurance, healthcare technology, and other organizations operating high-throughput or compliance-sensitive data pipelines.
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$0
A free tier is available. A 14-day pilot is paid; enterprise pricing is discussed with the sales team.
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company Informationdigna GmbH
Founded: 2019
Austria
www.digna.ai
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Company InformationFraoula
Founded: 2024
United States
www.fraoula.co
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Alternatives |
Alternatives |
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Categories |
Categories |
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Data Quality Features
Address Validation
Supported
Data Deduplication
Supported
Data Discovery
Supported
Data Profililng
Supported
Master Data Management
Supported
Match & Merge
Supported
Metadata Management
Supported
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Integrations
Snowflake
Supported
Amazon Redshift
Not Supported
Amazon S3
Not Supported
Apache Airflow
Not Supported
Apache Kafka
Not Supported
Databricks
Not Supported
Google Cloud BigQuery
Not Supported
IBM Netezza Performance Server
Supported
MariaDB
Supported
MySQL
Supported
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Integrations
Snowflake
Supported
Amazon Redshift
Supported
Amazon S3
Supported
Apache Airflow
Supported
Apache Kafka
Supported
Databricks
Supported
Google Cloud BigQuery
Supported
IBM Netezza Performance Server
Not Supported
MariaDB
Not Supported
MySQL
Not Supported
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