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  • Improve digital innovation through enhanced cross-business data convergence capabilities
    The complexity of enterprise operations and the volume of data is growing exponentially, as the pace of business accelerates.AntDB can support operational analytics, from real-time data processing to deep data mining. It assists business changes quickly adapt to the market and achieves data-driven business transformation.
    AntDB Converged Database offers a streamlined tech stack that’s easier to maintain.AntDB provides more efficient, flexible and reliable data services by pushing different sources and types of data with Consistent SQL implementation.
    Build comprehensive operational analytics with AntDB
    Database as a Service (DaaS)
    With AntDB, you can think of your database as a set of platform services that can host multiple types of business and data at the same time. And you can make sure they don't interfere with each other at runtime!
    High Concurrency and Low Latency
    AntDB meets the high-performance needs of modern applications, efficiently handles massive real-time data, and provides fast business response.
    Reduces data integration tooling
    AntDB natively supports complex data models, including relational and non-relational, as well as offline and online data aggregation.
    ERP System DB for Modern Carrier Fleet
    Customer remarks
    With AntDB, we've innovated in real-time data collection, online analysis, and cross-database queries, streamlining our fleet management processes.
    Hundreds TB
    Real-time processing of data on order
    Milliseconds
    Aggregate query response time
    Business application
    Using only SQL, AntDB provides real-time analysis of vehicle driving dynamics by integrating data collected from GIS and IoT systems.
    Solution
    AntDB's streaming engine enables real-time PUSH queries, pushing data from collection to processing on the fly. This eliminates the need for periodic result queries, thus speeding up the response time of streaming applications. It simplifies the development process by avoiding heavy streaming frameworks, shortening development time, reducing complexity, and providing readily available stream processing services.