Simply put, qData is the enterprise data steward.

It collects scattered ERP, CRM, and business data, cleans it, unifies definitions, and serves trusted data on demand.

It mainly solves three pain points:

• Break data silos:Solve mismatched departmental data and conflicting statistical definitions.
• Improve data quality:Eliminate dirty data so information is trustworthy and decisions have a solid basis.
• Reuse data assets:Accumulate data as reusable assets and avoid duplicated work.

💡 Note:

qData is not just one piece of software; it is a product suite.

• Core platform:“qData Professional” is the main product, with built-in metadata, master data, and asset management.
• Advanced modules:Professional sub-platforms can be combined as needed.

qData learns from the market while offering these core strengths:

• 🛡️ Source-code delivery and real control:Source authorization turns the platform into a controllable enterprise tech asset.
• 🏗️ Flexible architecture:Switch between monolith and microservices as scenarios scale.
• 🧩 Complete product suite:Includes one main platform plus six flexible sub-platforms.
• 📚 Full-lifecycle business support:Provides documentation for presales, project initiation, bidding, construction, implementation, reporting, and rollout.
• 💡 Deep enablement:Training covers concepts, system use, development, and design.
• 💻 Fully self-developed core:Core capabilities are self-developed for better quality, security, and stability.
• 🚀 Forward-looking technology:The Professional edition uses proven architecture for scalability and maintainability.
• 🔗 Shared AI ecosystem:Shares the same foundation as qThing, qKnow, qModel, qLabel, and qBrain for seamless industry AI solutions.
• ⚙️ Modular design:High cohesion and low coupling reduce development iteration difficulty and O&M cost.
• 🌐 Mainstream technology stack:Fits existing customer and partner technology environments, reducing integration difficulty and learning cost.
• 🔄 Dual-version strategy:Provides both Open-source and Professional editions for different budgets and maturity stages.

qData is general-purpose data infrastructure for silos, standards, and assetization.

Mature cases and industry solutions currently include:

• 🌊 Water conservancy:Unify watershed data governance and improve flood-control scheduling and water resource decision efficiency.
• 🏙️ Smart parks:Connect security, energy, property, and other data to build a park digital twin foundation.
• 🏭 Intelligent manufacturing:Connect ERP, MES, and other systems to enable transparent production and quality traceability.
• ⛏️ Coal and ⚡ power:Integrate safety production and equipment monitoring data for intelligent energy transformation.
• 🏥 Healthcare and 🎓 education:Improve patient and student data services across systems.
• 🚦 Transportation and logistics:Integrate multimodal traffic data to improve road-network scheduling and logistics collaboration.

💡 Tip:For more industry cases or custom solutions, contact our account managers.

qData offers Professional and Open-source editions with complementary positioning and smooth upgrade paths.

🏢 Professional Edition: enterprise-grade all-round expert

• Positioning:For large-scale, high-complexity scenarios requiring end-to-end, highly available enterprise solutions.
• Complete capabilities:Covers management, ingestion, modeling, security, and service governance.
• Deep enablement:Includes dedicated intelligent capabilities hardened in production environments.
• Premium services:Provides vendor technical support, customized implementation, and SLA assurance.
• Best for:Medium and large enterprises, critical systems, and scenarios with strict stability and security requirements.

🚀 Open-source Edition: lightweight starter mentor

• Positioning:Focused on core common functions, lightweight and easy to use for quick practice.
• Solid foundation:Includes basic system management, common data source access, standard modeling, and basic quality checks.
• Flexible exploration:Open and transparent code for validation, learning, research, and small or medium deployments.
• Best for:SMEs, individual developers, universities, research teams, and startups.

🔄 Seamless upgrade: same foundation, smooth evolution

Both editions share the same foundation, with official tools and docs for smooth upgrades.

💡 Summary:Start open-source, then upgrade to Professional as your needs grow.

The main platform covers basics; sub-platforms provide advanced professional capabilities.

1. qData Professional: practical and cost-effective

The main platform includes lightweight metadata, master data, and asset management for common governance needs.

2. Independent professional sub-platforms: built for complex scenarios

Professional sub-platforms support larger scale, complex relationships, profiling, and deep lineage.

💡 Summary:Buy the main platform first, then add sub-platforms as needed.