dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow.
Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence.
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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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SCIKIQ
SCIKIQ is an enterprise data fabric and AI platform that moves organizations from fragmented data to production-ready AI.
AI is only as good as the meaning behind the data. SCIKIQ builds that foundation with data semantics, ontologies, and knowledge graphs, connecting data integration, data quality, data governance, and master data management into a unified data fabric that gives AI true business context.
167+ pre-built connectors including SAP, Snowflake, Oracle, and Kafka.
No migration. Cloud-agnostic. Live in 30–90 days, Fastest ROI
Built on a semantic layer with data catalog, data lineage, ETL, and agentic AI,
SCIKIQ brings conversational analytics and self-service business intelligence to business teams , while data teams keep full governance and control.
Recognized by Forrester as a Top 34 AI Platform globally. NASSCOM League of 10. YourStory Tech30.
Trusted by category leaders in banking, financial services, retail, manufacturing, and supply chain & Logistics.
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DATPROF
DATPROF Test Data Platform is a complete test data management solution that helps software teams create, protect, provision, and automate high-quality test data. The platform combines data masking, synthetic test data generation, data subsetting, test data provisioning, and automation in one integrated solution.
DATPROF enables organizations to safely use realistic, production-like data for development, testing, QA, and CI/CD pipelines without exposing sensitive or privacy-related information. It helps companies comply with regulations such as GDPR, PCI, and HIPAA while improving software delivery speed and reducing manual test data work.
DATPROF is a software company specialized in test data management. Its mission is to help organizations make test data available faster, safer, and more efficiently, especially in complex enterprise and regulated environments.
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