Digna

Digna

digna GmbH
Okyline

Okyline

Akwatype
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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

Okyline is an Executable Data Design (EDD) platform for declarative data validation contracts and measurable operational data quality. Instead of maintaining disconnected specifications, validators, tests, and quality dashboards, Okyline uses a single executable contract as the operational source of truth for validation and flow quality monitoring. The same readable contract drives multi-format validation, deterministic execution, quality measurement, data quality gate, and historical quality analytics across APIs, events, files, LLM structured outputs, and enterprise data flows. Community Edition provides the open specification, a free Java validation runtime, a public Claude AI assistant for contract generation, and a free online studio for executable JSON validation contracts and JSON Schema transpilation. Enterprise Edition supports direct validation of JSONL, XML, CSV, FIXED, and EDI flows, data quality gate, and operational quality dashboards, all without databases

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

Backend developers, API designers, data engineers, QA engineers, business analysts, data architects, integration architects, and enterprise architects.

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 Community Edition
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 5.0 / 5
design 5.0 / 5
support 5.0 / 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

Akwatype
Founded: 2017
France
okyline.io

Alternatives

Alternatives

Waaila

Waaila

Cross Masters
Data Contract Editor

Data Contract Editor

Entropy Data

Categories

Categories

Data Quality Features

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

Integrations

Amazon S3
Apache Kafka
Apache Pulsar
IBM Netezza Performance Server
MariaDB
MySQL
PostgreSQL
PostgreSQL Maestro
SAP HANA
SQL Server
Snowflake

Integrations

Amazon S3
Apache Kafka
Apache Pulsar
IBM Netezza Performance Server
MariaDB
MySQL
PostgreSQL
PostgreSQL Maestro
SAP HANA
SQL Server
Snowflake
Claim Digna and update features and information
Claim Digna and update features and information