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features
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support

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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

Fraoula Data Auditor serves as a comprehensive tool for assessing data quality and auditing schemas, tailored for data engineering, analytics, governance, and compliance teams. It meticulously examines data structures and sample records to detect issues like schema drift, discrepancies in field types, excessive null rates, unusual values, and violations of established rules, ultimately compiling these insights into a risk report that includes recommended corrective measures. This product is beneficial for evaluating data pipelines that supply data to warehouses, analytics platforms, risk management systems, or AI applications, particularly in sectors such as finance and healthcare. Users can choose from various workflows, including a quick browser-based evaluation or more extensive audits, with options for both cloud-hosted and self-hosted deployments. The insights generated equip teams to recognize potential data risks and strategize remediation efforts before the data is utilized downstream, thus enhancing overall data integrity and reliability. By proactively addressing these issues, organizations can ensure that their data remains accurate and trustworthy for all critical applications.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Snowflake Yes 
Amazon Redshift No 
Amazon S3 No 
Apache Airflow No 
Apache Kafka No 
Databricks No 
Google Cloud BigQuery No 
IBM Netezza Performance Server Yes 
MariaDB Yes 
MySQL Yes 
PostgreSQL No 
PostgreSQL Maestro Yes 
SAP HANA Yes 
SQL Server Yes 
dbt No 

Integrations

Snowflake Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Apache Airflow Yes 
Apache Kafka Yes 
Databricks Yes 
Google Cloud BigQuery Yes 
IBM Netezza Performance Server No 
MariaDB No 
MySQL No 
PostgreSQL Yes 
PostgreSQL Maestro No 
SAP HANA No 
SQL Server No 
dbt Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0
A free tier is available. A 14-day pilot is paid; enterprise pricing is discussed with the sales team.
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 Yes 
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 No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs No 
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

Fraoula

Founded

2024

Country

United States

Website

www.fraoula.co

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 

Alternatives

Alternatives

No Alternatives