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What is Digna?

digna is a next-generation data quality and observability platform designed to help organizations build trust in their data, detect issues early, and understand how their data behaves over time. As data environments grow in complexity, traditional monitoring approaches are no longer enough. digna goes beyond static checks and dashboards by combining observability with analytics, enabling teams to not only detect anomalies but also interpret patterns, trends, and changes in data behavior. Comprehensive Data Observability Across Your Entire Platform digna is built as a modular platform with five independent components that can be deployed together or separately, depending on your needs: * Data Anomalies — Detect unexpected changes in data volumes, distributions, and behavior using AI-driven anomaly detection without manual rules * Data Analytics — Understand trends, patterns, and seasonality through built-in time-series analysis * Data Timeliness — Monitor data delivery and ensure pipelines meet expected arrival times * Data Validation — Enforce data quality rules and compliance with flexible, scalable validation logic * Data Schema Tracker — Detect schema changes in real time to prevent pipeline failures and downstream issues Together, these modules provide full visibility into both data quality and business data behavior. Key Advantages * In-database processing ensures data never leaves your environment, supporting privacy, security, and regulatory compliance * AI-driven anomaly detection eliminates the need for manually defined rules * Built-in analytics capabilities enable teams to understand data trends and behavior without external tools * Scalable validation framework supports consistent data quality across complex data environments * Schema change tracking protects pipelines from breaking changes Designed for Modern Data Platforms digna integrates seamlessly with leading data platforms including Snowflake, Databricks, Teradata, and more.

What is Datastory?

Datastory represents a cutting-edge analytics and reporting platform driven by AI, seamlessly integrating tools such as GA4, Google Ads, Shopify, Search Console, Facebook Ads, Instagram, and TikTok. Utilizing the power of GPT-4, it converts intricate data sets into clear and actionable daily insights. The platform performs autonomous evaluations of performance metrics, detecting trends and anomalies, and delivers summaries and alerts in plain language through various channels like WhatsApp, Slack, email, and the web. This functionality empowers teams to swiftly comprehend what has shifted, grasp the underlying reasons for those changes, and outline the necessary next steps, eliminating the need for cumbersome dashboard creation or manual report generation. By doing so, Datastory not only streamlines the data interpretation process but also ensures that insights are readily available and actionable for all stakeholders involved, thus fostering a more data-driven decision-making culture. This innovative approach ultimately enhances team efficiency and effectiveness in responding to dynamic market conditions.

Media

Media

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Integrations Supported

IBM Netezza Performance Server
MariaDB
MySQL
PostgreSQL Maestro
SAP HANA
SQL Server
Snowflake

Integrations Supported

Facebook Ads
Google Ads
Google Analytics
Google Search Console
Instagram Ads
Meta Ads
Shopify
TikTok
TikTok Ads

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

39

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

digna GmbH

Date Founded

2019

Company Location

Austria

Company Website

www.digna.ai

Company Facts

Organization Name

Datastory

Date Founded

2025

Company Location

India

Company Website

datastory.sh/

Categories and Features

AI Data Analytics

Not specified

AI Tools

Not specified

Anomaly Detection

Not specified

Data Management

Not specified

Data Quality

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

Categories and Features

AI Data Analytics

Not specified

Marketing Analytics

Not specified

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