Big Data

Cloud Computing

Product Overview

The cloud-native data warehouse provides users with ultra-fast analytics, supporting both real-time data analysis and large-scale offline analysis. Its flexible scalability, excellent performance, and rich enterprise-grade features enable customers to efficiently handle big data requirements.

Product Advantages

  • Exceptional Performance
    Powered by advanced architecture, it ensures sub-second query performance to meet the real-time and high-efficiency demands of enterprises.
  • Cost-Effectiveness
    Cost-Effectiveness:With an optimized cost structure and pay-as-you-go pricing, it offers cost-efficient big data solutions tailored for fast-growing businesses.
  • Exceptional Usability
    Exceptional Usability:Validated by billions of monthly active users, it provides data teams with an intuitive interface that simplifies data management.
  • Excellent Customer Service
    Excellent Customer Service:Offers 24/7 cloud support and works closely with clients through onboarding, training, and customized services to ensure their success.

Product Features

  • Unified Big Data Analytics Platform
    Accelerates enterprise analytics with scalable computing and a distributed data layer to support diverse analytical workloads.
  • Unified Batch and Streaming Workload Handling in a Single Data Platform
    Connect local and global data from both batch and streaming sources to a platform with unlimited scalability.
  • Real-Time Decision Support
    Transform data into actionable insights in seconds. 99% of queries complete within seconds, empowering fast and informed business decisions.
  • Compute and Storage Separation for Scalability
    The compute layer uses a shared-nothing architecture, while the storage layer follows a shared-everything model, enabling efficient resource management and scalability.

Application Scenarios

  • Real-Time Data Warehouse
    High throughput and robust stability support real-time data ingestion and high concurrency access, meeting enterprise needs for instant data monitoring and analytics.
  • Complex Analytics
    Powerful computing and flexible query performance enable multidimensional analysis and deep data mining, helping enterprises uncover critical business insights.
  • High-Concurrency Scenarios
    Exceptional concurrency handling supports large volumes of simultaneous user queries, ensuring system stability and fast response times.
  • User Profiling
    Integrate data from multiple sources to build accurate user profiles, enabling personalized recommendations and targeted marketing that boost user satisfaction and conversion rates.
  • Behavior Analysis
    Gain deep insights into user behavior to uncover latent needs, optimize product design and operational strategies, and enhance business performance.
  • Vector Search
    Supports efficient vector retrieval to enable similarity queries for unstructured data such as images and audio, expanding the scope of data applications.
  • Spatiotemporal Analysis
    Integrates temporal and spatial data to identify spatiotemporal patterns, enabling applications in smart cities, logistics, and other fields to improve decision-making efficiency.