AnalyticDB for MySQL is a cloud-native enterprise-grade data warehousing service that integrates database and big data capabilities. AnalyticDB for MySQL is highly compatible with MySQL. Data is queryable milliseconds after it is written, and queries can be handled within a second.

AnalyticDB for MySQL's unique design lets you aggregate and analyze structured, semi-structured, and unstructured data from data lakes and databases. It is able to perform both high-throughput batch processing and high-performance real-time analysis in one place, reducing costs and improving efficiency.

Video introduction

Editions

AnalyticDB for MySQL is available in two editions: Data Lakehouse Edition (V3.0) and Data Warehouse Edition (V3.0). For more information, see Editions.

Features

AnalyticDB for MySQL leverages its in-house XIHE compute engine and XUANWU storage engine to provide features like SQL audit and diagnostics, monitoring and alerting, and data import and export. AnalyticDB for MySQL also supports Apache Spark and Apache Hudi for real-time data lake ingestion. For more information, see Features.

Usage

The following methods are available for managing AnalyticDB for MySQL clusters. You can choose one or more to perform operations like creating clusters and accounts, configuring networks, and creating and managing resource groups.

  • Console: The AnalyticDB for MySQL console is a friendly web-based GUI. Log on to the AnalyticDB for MySQL console.
  • SDK: You can use SDKs as an alternative to the AnalyticDB for MySQL console to manage your resources. The SDKs can perform all the operations available in the console. For more information, see SDK reference.
  • API: You can use the API as an alternative to the AnalyticDB for MySQL console to manage your resources. The API can perform most of the operations available in the console. For more information, see API Reference (Data Warehouse Edition) and API Reference (Data Lakehouse Edition).

Getting started

If you are new to AnalyticDB for MySQL, we recommend that you read the topics in Getting Started which will walk you through the entire procedure for using this service.