Dignadigna GmbH
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OkylineAkwatype
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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
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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
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Data warehouses, data lakes, data lakehouses, banks, retail, hospitals
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Audience
Backend developers, API designers, data engineers, QA engineers, business analysts, data architects, integration architects, and enterprise architects.
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free Community Edition
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company Informationdigna GmbH
Founded: 2019
Austria
www.digna.ai
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Company InformationAkwatype
Founded: 2017
France
okyline.io
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Categories |
Categories |
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Data Quality Features
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
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Integrations
Amazon S3
Apache Kafka
Apache Pulsar
IBM Netezza Performance Server
MariaDB
MySQL
PostgreSQL
PostgreSQL Maestro
SAP HANA
SQL Server
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Integrations
Amazon S3
Apache Kafka
Apache Pulsar
IBM Netezza Performance Server
MariaDB
MySQL
PostgreSQL
PostgreSQL Maestro
SAP HANA
SQL Server
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