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

Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset.

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

Teams and companies requiring a solution to monitor their data assets, metadata, and infrastructure

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

No information available.
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 5.0 / 5
ease 5.0 / 5
features 4.5 / 5
design 5.0 / 5
support 4.0 / 5

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

Sifflet
United States
www.siffletdata.com

Alternatives

Alternatives

dbt

dbt

dbt Labs

Categories

Categories

Data Quality Features

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

Integrations

MySQL
SQL Server
Snowflake
Amazon EMR
Amazon QuickSight
Amazon Redshift
Apache Spark
Azure Databricks
Fivetran
Hightouch
IBM Netezza Performance Server
Looker
MariaDB
Microsoft Teams
Opsgenie
PostgreSQL
PostgreSQL Maestro
Prefect
Presto
dbt

Integrations

MySQL
SQL Server
Snowflake
Amazon EMR
Amazon QuickSight
Amazon Redshift
Apache Spark
Azure Databricks
Fivetran
Hightouch
IBM Netezza Performance Server
Looker
MariaDB
Microsoft Teams
Opsgenie
PostgreSQL
PostgreSQL Maestro
Prefect
Presto
dbt
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