AnalyticDB for MySQL: Real-time Data Warehouse for Petabytes of Data - Alibaba Cloud (original) (raw)

Case Study & Demo | How AnalyticDB for MySQL Helps Gaming Companies to Achieve One-Stop Data Analysis

AnalyticDB for MySQL is a high-performance data warehousing service that is secure, stable, and easy to use. It allows you to easily create online statistical reports, multidimensional analysis solutions, and real-time data warehouses. AnalyticDB for MySQL uses a distributed computing architecture that enables it to use the elastic scaling capability of the cloud to compute tens of billions of data records in real time. AnalyticDB for MySQL stores data based on relational models and can use SQL to flexibly compute and analyze data. AnalyticDB for MySQL also allows you to easily manage databases, scale in or out nodes, and scale up or down instances. It provides various visualization and ETL tools to make enterprise data processing easier.

Benefits

Features

Flexible Computing

Capable of computing large amounts of data, allowing you to flexibly explore data and quickly discover data value.

No Prior Data Modeling Required

Provides comprehensive value indexing and block indexing technologies, allowing you to query data without any prior data modeling.

Fast Response

Uses an ultra-large scale engine that integrates MPP with directed acyclic graphs (DAGs), allowing you to query large amounts of data within milliseconds.

Ease of Use

Compatible with MySQL databases. AnalyticDB for MySQL is easy to learn and use.

Compatibility with MySQL

Fully compatible with the MySQL protocol and SQL:2003 syntax. AnalyticDB for MySQL can easily analyze and integrate data by using standard SQL syntax and existing BI tools.

Ease-of-use Assurance

Provides an intuitive graphical management console as well as complete documentation and manuals. The computing engine intelligently optimizes queries.

Availability Assurance

Isolates storage from computing resources, and supports multi-copy data storage and dynamic resource management for always-on connectivity.

High-availability Architecture

Uses a distributed architecture that provides high availability and low latency and can handle high-concurrency queries.

Secure Design

Provides column-level permission management and uses a public/private key mechanism to secure data.

Unique Features

Provides many unique features to help you analyze data more efficiently.

High-performance Automatic Indexing

Automatically creates the most suitable index format for each data column, allowing you to focus on more important work.

Data Migration

Supports multiple data migration tools and solutions, allowing you to quickly import and export data.

Support for Real-time Data Operations

Supports high-concurrency real-time data insert, update, and delete operations.

Intelligent Query Optimization with CBO and HBO

Implements intelligent scheduling of computing resources among distributed clusters.

Multi-version Hybrid Row-Column Storage

Allows you to write and query millions of records in real time.

Use Cases

Gain Business Insights: Build Data Warehouse With Ease & Reduce Costs By Data Tiering

AnalyticDB offers intelligent tiered storage solution for hot and cold data, enabling seamless data tiering without requiring changes to your business logic.

This feature is specifically designed for tables partitioned by date and time. Once activated, each data partition follows its customizable lifecycle:
- Hot data (recently ingested) is stored on high-performance SSDs to deliver lightning-fast query responses.
- Cold data (older or less frequently accessed) is automatically identified as cold data and archived to cost-effective Object Storage Service (OSS), thereby significantly reducing storage expenses.

Data tiering in AnalyticDB for MySQL >
Data tiering in AnalyticDB for PostgreSQL >

Watch the video to discover the transformative power of data tiering in action.

Tutorial

AnalyticDB for MySQL Query Performance Tuning Guide

Beginning with an introduction to the features of AnalyticDB for MySQL V3.0, this document describes the tuning principles of SQL development, common tuning problems, tools provided by AnalyticDB for MySQL for query execution plans optimization , etc., which gives you an impressive MySQL query performance tuning practice.

Setting up Database Performance Benchmarking on Alibaba Cloud

This document gives you a guidance to implement database performance tests based on commonly used benchmarks, including the Transaction Processing Performance Council (TPC) and sysbench benchmarks.

Scenarios

Real-time Data Warehousing

Real-time Data Warehousing

Enterprise-level Online Data Warehouse Construction

AnalyticDB for MySQL provides real-time computing statistics of business metrics, and uses data visualization tools to display business trends in real time, such as real-time statistics of transaction orders and monitoring of the running status of vehicles and devices.

Challenges that AnalyticDB for MySQL can Address

Real-time Computing Service

Real-time Computing Service

Online Data Service Applications

AnalyticDB for MySQL is used to build a real-time computing business system to overcome problems of traditional databases, such as inability to perform quick multi-table join queries on large amounts of data.

Challenges that AnalyticDB for MySQL can Address

Rely on Alibaba Cloud's Worldwide Data Centers

Alibaba Cloud has 87 zones strategically located across 29 regions in the world, providing reliable computing support for billions of customers.

Market Share in the Asia Pacific
IaaS Market Share - Gartner IT Service Report 2022

Global Data Center regions

CDN Nodes Globally

Availability Zones

Data centers and availability zones

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