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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Denodo is an intelligent data platform that helps organizations deliver live, unified, and governed data for trustworthy AI, analytics, and self-service initiatives. The platform uses logical data management to connect distributed data across hybrid, multi-cloud, on-premises, SaaS, and third-party environments without requiring data movement or duplication. Denodo helps businesses integrate data silos, enable self-service access, enforce governance, deliver real-time insights, and enrich data with business context. It is designed to support agentic AI by giving AI agents accurate, up-to-date, and governed enterprise data for better decisions and actions. The platform includes capabilities such as zero-copy data access, unified semantics, centralized compliance, natural language search, data marketplaces, and optimized query performance.
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erwin Data Marketplace
erwin Data Marketplace, included with erwin Data Intelligence by Quest, provides a centralized, consumer-like platform for all data users, regardless of technical expertise, to discover, select, and access governed, high-value data products, datasets, and AI models. This self-service approach accelerates data discovery, enhances data literacy, ensures governance, and maximizes the business impact of data. Key features include dynamic filtering, automated data value scoring, social ratings and reviews, and access to related data intelligence such as mind maps and data lineage. Users can compare multiple assets side-by-side to determine the best fit for their needs. Data stewards and owners benefit from curation and governance capabilities, including defining data products, managing associations, classifying data, assigning searchable tags, and overseeing governance roles. Built-in workflows facilitate data access requests, approvals, and documentation, ensuring compliance.
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