OLTP (Online Transaction Processing), OLAP (Online Analytical Processing), and HTAP (Hybrid Transaction/Analytical Processing) are three commonly used database architectures that are designed to support different types of workloads.
OLTP（在线事务处理）、OLAP（在线分析处理）和 HTAP（混合事务/分析处理）是三种常用的数据库架构，旨在支持不同类型的工作负载。
OLTP
OLTP is optimized for handling large numbers of small, short-lived transactions that update or retrieve data from a database. This type of architecture is commonly used in systems that require real-time data access, such as e-commerce or financial applications. OLTP databases are designed to be fast and efficient, and they often use indexing and other optimization techniques to speed up data access.
OLTP 经过优化，可处理大量小型、短期事务，这些事务会更新或检索数据库中的数据。这种架构通常用于需要实时数据访问的系统，例如电子商务或金融应用程序。OLTP 数据库旨在实现快速高效的运行，并且通常使用索引和其他优化技术来加快数据访问速度。
行存储适合 OLTP
OLAP
OLAP is designed to support analytical workloads, such as data mining, reporting, and business intelligence. OLAP systems typically use a multidimensional data model, which allows users to analyze data from multiple perspectives and at different levels of detail. OLAP systems are often used in decision support applications, where users need to quickly and easily analyze large amounts of data.
OLAP 旨在支持分析工作负载，例如数据挖掘、报告和商业智能。OLAP 系统通常使用多维数据模型，允许用户从多个角度和不同详细程度分析数据。OLAP 系统常用于决策支持应用程序，用户需要快速轻松地分析大量数据。
列存储适合 OLAP
HTAP
HTAP is a hybrid architecture that combines the capabilities of OLTP and OLAP systems. This allows HTAP databases to support both transactional and analytical workloads, providing real-time data access and analysis capabilities in a single system. HTAP systems are often used in applications that require both transactional and analytical processing, such as real-time recommendation engines or fraud detection systems.
HTAP 是一种混合架构，融合了 OLTP 和 OLAP 系统的功能。这使得 HTAP 数据库能够同时支持事务型和分析型工作负载，在单一系统中提供实时数据访问和分析功能。HTAP 系统通常用于需要事务型和分析型处理的应用程序，例如实时推荐引擎或欺诈检测系统。
