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AnalyticDB

A cloud-native, real-time data warehouse that seamlessly integrates with MySQL, PostgreSQL, GenAI and open data lakehouse ecosystems.

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Overview

AnalyticDB is a cloud-native, real-time data warehouse compatible with both MySQL and PostgreSQL. It enables real-time data ingestion from OLTP databases and log sources through its Zero-ETL capability, allowing for petabyte-scale analysis within seconds. AnalyticDB supports various open data platforms as data sources and offers Retrieval-Augmented Generation (RAG) features that seamlessly integrate with generative AI applications. Designed to meet enterprise demands, AnalyticDB offers high performance, cost-effectiveness, and stability.

    AnalyticDB for MySQL
    Learn More
    AnalyticDB for MySQL is a real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol and SQL:2003 syntax and can perform instant multidimensional analysis and business exploration for huge amounts of data.

    Documentation >

    Console >
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    AnalyticDB for PostgreSQL
    Learn More
    AnalyticDB for PostgreSQL, built on Greenplum, is a cloud-native data warehouse with built-in AI capabilities. It is a high-performance MPP database that unifies online analysis, real-time stream computing, and batch processing, while supporting vector search and real-time interactive analysis.

    Documentation >

    Console >
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Benefits

Strong Open Data Ecosystem

Compatible with various data types and open data platforms, AnalyticDB can be used in existing systems without the need for business transformation.

Leveraging the powerful data ecosystem of AnalyticDB, data silos can be eliminated, making data integration more convenient and enabling multi-dimensional analysis to support business decision-making. AnalyticDB supports data ingestion from major OLTP databases, logging services, and various open data platforms such as Apache Flink®, Apache Hudi™, Apache Iceberg™, Apache Kafka®, Apache Spark™, Apache Paimon™, and Presto®. Learn More

One-Stop High-Performance Online Analysis

With Zero-ETL capability, you can import or synchronize data in real-time to AnalyticDB at no extra cost, eliminating the need for configuring, maintaining, or paying for data synchronization. This enables enterprises to establish one-stop analysis services with ease.

AnalyticDB offers high-performance offline and online analysis services using HTAP and other advanced technologies, delivering query speeds up to 10 times faster than traditional relational databases. It ensures millisecond-level latency for point queries, write visibility, and massive data querying. Learn More

Seamless AI Integration

With In-Database AI/ML and RAG services for vector retrieval, AnalyticDB offers seamless integration of DB + AI and AI + DB. This empowers enterprises to establish the essential technical foundations necessary for business innovation. Learn More

High Elasticity & Cost-Effectiveness

AnalyticDB utilizes a cloud-native architecture that decouples storage and computing resources, enabling independent scaling of each as needed. With its Serverless mode, scheduled scaling, elasticity on demand, hot and cold tiered storage, and data compression features, AnalyticDB can reduce overall costs in computing, storage, operations, and maintenance by up to 70%. Learn More

Use Cases

OLAP

Build GenAI ChatBot

ECS + PAI-EAS (LLM) + AnalyticDB for PostgreSQL (Vector Database), view best practice >

  • Instant Scalability
  • Streamlined Management
  • Intuitive Usability

Large Language Models

LLaMA 3.1 | ChatGLM-6B | Qwen

Begin Your Journey

OLAP

AnalyticDB for PostgreSQL TPC-H Quick Benchmark

Effortlessly benchmark with TPC-H on AnalyticDB for PostgreSQL. Learn more >

  • Rapid Deployment
  • User-Friendly
  • Effortless Management

Product Used

ECS | AnalyticDB for PostgreSQL | OSS

Begin Your Journey
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

Best Practice

Quick Start for Beginners

Master the fundamental skills of using AnalyticDB: begin by creating an instance, then proceed with network configuration, user creation, connection and access, database and table creation, instance management, and more.

Start from here >

Import Data Into AnalyticDB

Learn how to do batch data imports from different data sources.

Import into AnalyticDB for MySQL >

Import into AnalyticDB for PostgreSQL >

Export Data From AnalyticDB

Discover easy methods to export data from AnalyticDB and streamline your data flow to meet business requirements.

Export from AnalyticDB for MySQL >

Export from AnalyticDB for PostgreSQL >

Performance Benchmark & Tuning

Familiarize yourself with the TPC-H benchmark details for AnalyticDB and learn techniques to optimize query performance.

AnalyticDB for MySQL guide >

AnalyticDB for PostgreSQL guide >

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