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  • Product Values
  • Use Cases

Product Overview

KWDB is a distributed, multi-model database engineered for AIoT (Artificial Intelligence of Things) environments. It supports concurrent time-series and relational database operations within a single instance, enabling seamless integration of diverse data processing models. The system delivers high-speed time-series data processing with high availability, enterprise-grade security, and operational stability—all through an intuitive, user-friendly interface. KWDB provides a unified data platform for industries including industrial IoT, digital energy, connected vehicles, and smart manufacturing.

Product Values

KWDB combines comprehensive features with excellent performance to meet the demands of various use cases, empowering enterprises in their digital transformation.

  • Higher Processing Capabilities

    • Massive data processing capability: Optimized design for high-speed read/write of massive time-series data, with the capacity to connect tens of millions of devices.
    • High-speed query response: Supports second-level query response for hundreds of millions of data records.
    • Rich time-series query functions: Provides specialized query capabilities including interpolation queries, mathematical functions, and window functions.

  • Lower Operational and Management Costs

    • Unified multi-model data management: A single database system enables cross-department, cross-business unified data management, significantly reducing procurement and operational costs for enterprise IT infrastructure.
    • Business data integration: Supports diverse applications and enables multi-business data integration.

  • Lower Storage Costs

    • Intelligent compression technology: Supports real-time compression, automatically adapting optimal compression algorithms based on different data types, with compression ratios of 5-30x.
    • Lifecycle management: Provides data lifecycle management with flexible retention policies based on data importance, meeting business needs with fewer nodes and resources.

  • Enhanced Security

    • Database auditing and encryption to ensure system security and operational stability across various business scenarios.

  • Simplified Usage

    • Developer-friendly: Provides universal connection interfaces with features including high-speed writes, ultra-fast queries, SQL support, data lifecycle management, and cluster deployment. Seamlessly integrates with third-party tools, lowering the learning curve and improving development efficiency.
    • Admin-friendly: Provides rapid deployment, upgrade, migration, and monitoring capabilities, reducing database operational and management costs.
    • Provides MCP Server to enable efficient interaction and business intelligence through natural language with KWDB, large language models, and services.

Use Cases

KWDB aims to empower sectors such as industrial IoT, digital energy, internet of vehicles, and smart mining, enabling businesses to derive greater commercial value from their data.

  • Industrial IoT

    KWDB seamlessly integrates with systems like SCADA and DCS to consolidate the storage of real-time data generated by machinery and production lines, along with equipment management data. The KaiwuDB Data Service Platformopen in new window unifies data from diverse sources and provides powerful analytical tools to help businesses uncover insights, identify trends, and resolve issues. For more information on industrial IoT applications, check out the Industrial IoT Solutionopen in new window.

  • Digital Energy

    Leveraging its AIoT multi-model database capabilities, KWDB integrates multiple sources of time-series data, including sensors, production conditions, and machine statuses, along with relational data such as personnel, equipment, and business information. KWDB supports advanced real-time computing, transaction processing, and interactive queries, enabling precise peak-shaving and frequency regulation solutions. Its real-time monitoring and early warning systems enhance enterprise safety and facilitate comprehensive energy data management from collection to analysis and application. For more information on digital energy cases, visit the Digital Energy Solutionopen in new window.

  • Internet of Vehicles

    The time-series data engine of KWDB processes data collected from vehicle sensors, engines, and in-vehicle control systems, transmitted via MQTT and mobile networks. The data is then ingested, stored, managed, computed, and analyzed within the KWDB platform to support higher-level business systems. For more information on Internet of Vehicles solutions, visit the Internet of Vehicles Solutionopen in new window.

  • Smart Mining

    KWDB supports the storage of various data types, including relational and time-series data. Its "one-database, multi-use" capability enables comprehensive data computation and analysis across the entire mining lifecycle, from exploration to production, sales, and beyond. For more information on smart mining solutions, visit the Smart Mining Solutionopen in new window.