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Average Ratings 0 Ratings

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features
design
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

Genesis Computing offers an innovative enterprise AI platform centered around autonomous "AI data agents" designed to streamline complex data engineering and analytics workflows within an organization’s existing technology framework. This groundbreaking approach creates a new category of AI knowledge workers that function as self-sufficient agents, capable of executing comprehensive data workflows instead of merely providing code suggestions or analytical insights. These agents are equipped to explore data sources, ingest and transform datasets, map raw data from originating systems to structured analytical formats, generate and execute data pipeline code, produce documentation, conduct testing, and oversee pipelines in real-time production settings. By managing these processes from start to finish, the platform significantly diminishes the manual effort usually needed to construct and sustain data pipelines and analytics infrastructure. Consequently, organizations can focus more on strategic initiatives rather than getting bogged down by repetitive technical tasks.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Snowflake Yes 
Amazon Web Services (AWS) No 
Apache Kafka No 
Apache Spark No 
Azure Databricks No 
Docker No 
Git No 
GitHub No 
Google Cloud Platform No 
IBM Netezza Performance Server Yes 
Jira No 
MariaDB Yes 
Microsoft Azure No 
Microsoft Teams No 
MySQL Yes 
PostgreSQL Maestro Yes 
Python No 
SAP HANA Yes 
SQL Server Yes 
Slack No 

Integrations

Snowflake Yes 
Amazon Web Services (AWS) Yes 
Apache Kafka Yes 
Apache Spark Yes 
Azure Databricks Yes 
Docker Yes 
Git Yes 
GitHub Yes 
Google Cloud Platform Yes 
IBM Netezza Performance Server No 
Jira Yes 
MariaDB No 
Microsoft Azure Yes 
Microsoft Teams Yes 
MySQL No 
PostgreSQL Maestro No 
Python Yes 
SAP HANA No 
SQL Server No 
Slack Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial Yes 
Free Version 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 

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) Yes 
In Person No 

Vendor Details

Company Name

digna GmbH

Founded

2019

Country

Austria

Website

www.digna.ai

Vendor Details

Company Name

Genesis Computing

Founded

2024

Country

United States

Website

genesiscomputing.ai/

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

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