Digna

Digna

digna GmbH
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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

About

Genesis Computing provides an enterprise AI platform built around autonomous “AI data agents” that automate complex data engineering and analytics workflows across an organization’s existing technology stack. It introduces a new category of AI knowledge workers that operate as autonomous agents capable of executing full data workflows rather than simply suggesting code or analysis. These agents can research data sources, ingest and transform datasets, map raw data from source systems to structured analytical targets, generate and run data pipeline code, create documentation, perform testing, and monitor pipelines in production environments. By handling these tasks end-to-end, the platform reduces the manual workload typically required to build and maintain data pipelines and analytics infrastructure.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data warehouses, data lakes, data lakehouses, banks, retail, hospitals

Audience

Enterprise data engineering teams and data platform leaders who need autonomous AI agents to automate data pipelines, analytics workflows, and data operations across complex data infrastructures

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

digna GmbH
Founded: 2019
Austria
www.digna.ai

Company Information

Genesis Computing
Founded: 2024
United States
genesiscomputing.ai/

Alternatives

Alternatives

DataBuck

DataBuck

FirstEigen

Categories

Categories

Data Quality Features

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Integrations

Snowflake
Amazon Web Services (AWS)
Apache Kafka
Apache Spark
Azure Databricks
Docker
Git
GitHub
Google Cloud Platform
IBM Netezza Performance Server
Jira
MariaDB
Microsoft Azure
Microsoft Teams
MySQL
PostgreSQL Maestro
Python
SAP HANA
SQL Server
Slack

Integrations

Snowflake
Amazon Web Services (AWS)
Apache Kafka
Apache Spark
Azure Databricks
Docker
Git
GitHub
Google Cloud Platform
IBM Netezza Performance Server
Jira
MariaDB
Microsoft Azure
Microsoft Teams
MySQL
PostgreSQL Maestro
Python
SAP HANA
SQL Server
Slack
Claim Digna and update features and information
Claim Digna and update features and information
Claim Genesis Computing and update features and information
Claim Genesis Computing and update features and information