# Clickzetta Lakehouse: High-Performance Integrated Online and Offline Service

## Overview

Clickzetta Lakehouse is a high-performance integrated data management platform designed to simplify enterprise data management architecture. With features such as real-time and offline import, processing, and analysis, users can easily handle and analyze large-scale data. Additionally, Clickzetta Lakehouse adopts a cloud-native architecture, characterized by intelligence and openness, providing users with rich interfaces and comprehensive product solutions.

## Integrated Real-Time and Offline

Clickzetta Lakehouse supports integrated real-time and offline capabilities, enabling users to process both real-time and offline data on the same platform. Here are some use cases:

1. **Real-Time Data Import**: Users can import real-time data streams into Clickzetta Lakehouse for real-time analysis. For example, e-commerce platforms can monitor order data in real-time to quickly respond to market changes.
2. **Offline Batch Import**: Users can batch import historical data into Clickzetta Lakehouse for offline analysis. For instance, financial institutions can import historical transaction data for risk management and compliance reporting.
3. **Real-Time Data Processing**: Clickzetta Lakehouse supports real-time data processing based on materialized views, allowing users to generate reports and dashboards in real-time. For example, logistics companies can track the status of goods in real-time and generate real-time reports for management decision-making.
4. **Offline Analysis**: Users can perform high-performance online analysis on offline data without moving the data. For example, retailers can analyze historical sales data to develop more effective marketing strategies.

## Cloud-Native Architecture

Clickzetta Lakehouse adopts a cloud-native architecture with the following features:

1. **Serverless**: Serverless architecture allows for on-demand use and release of computing resources, with pay-as-you-go pricing. Users do not need to worry about underlying resource management and maintenance, allowing them to focus on data analysis and business innovation.
2. **Storage-Compute Separation**: Uses object storage as the persistent storage layer, with independent scaling of compute resources. Users can flexibly adjust computing resources based on business needs, reducing costs.
3. **Multi-Cluster Architecture**: Supports rapid creation/automatic suspension/destruction/elastic scaling of multiple virtual computing resources based on load, avoiding resource contention among different businesses; supports vertical and horizontal scaling of a single virtual computing resource to meet different scenarios such as single-job computing power enhancement and multi-concurrency assurance.

## Intelligent Features

Clickzetta Lakehouse provides the following intelligent features:

1. **Real-Time Write Service**: Independent real-time write service that automatically scales resources based on business load, without user management.
2. **Automatic Storage Optimization**: Automatically performs data consolidation, index optimization, and cache optimization to improve data storage efficiency and query performance.
3. **Intelligent Optimization**: Uses algorithms to analyze job running characteristics and perform intelligent optimization, continuously improving performance and cost.
4. **Autopilot**: Elastic computing resources sense load for automatic start/stop and elastic concurrency, reducing resource usage costs while ensuring query quality under critical business concurrency.

## Openness

Clickzetta Lakehouse has the following openness features:

1. **Rich User Interfaces**: Provides tools such as JDBC, SDK, and CLI, integrating with a wide range of ecosystem tools, making it easy for users to integrate into existing environments.
2. **Ecosystem Engine Integration**: Supports users in accessing Clickzetta Lakehouse data using open-source ecosystem standard storage formats and metadata access interfaces, and using open-source computing engines (such as Spark) for data preparation and algorithm analysis scenarios.

## Comprehensive Product Solutions

Clickzetta Lakehouse natively integrates data integration, data development and operations, and data asset management tools, allowing users to develop data applications through Clickzetta Lakehouse without complex integration work. Users can use Clickzetta Lakehouse in the following ways:

1. **Data Integration**: Use Clickzetta Lakehouse's data integration tools to import data from various data sources into the platform.
2. **Data Development and Operations**: Utilize Clickzetta Lakehouse's computing capabilities to develop data processing and analysis tasks, achieving data processing, transformation, and analysis.
3. **Data Asset Management**: Use Clickzetta Lakehouse's data asset management tools for metadata management, data quality management, and data lifecycle management.

In summary, Clickzetta Lakehouse provides users with a high-performance, easy-to-use, and flexible integrated data management platform, helping users easily handle various data processing and analysis needs.