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Supported data sources for data integration

更新时间: 2026-06-12 06:24:34

Data Integration supports offline integration, real-time integration, and full-database migration. This topic describes the data source types supported by offline integration, real-time integration, and full-database migration.

Use cases for different integration types

Integration type

Scenarios

Offline integration

Suitable for scenarios such as migrating data to the cloud or moving data from the cloud to on-premises systems. For example, you can migrate data from an on-premises MySQL database to an Alibaba Cloud RDS database.

Full-database migration

Suitable for synchronizing data from on-premises data centers or self-managed databases on ECS instances to offline data warehouses like Hive or to services like MaxCompute. For example, you can migrate data from a self-managed MySQL database on an ECS instance to MaxCompute.

Real-time integration

Suitable for real-time integration of data changes from an entire database or all tables in a source data source to a destination data source, keeping the source and destination data sources synchronized.

Data sources supported for offline integration

Data source

Read

Write

Big data storage data sources

MaxCompute

Supported

Supported

Hive

Supported

Supported

Hologres

Supported

Supported

Impala

Supported

Supported

TDH Inceptor

Supported

Supported

Kudu

Supported

Supported

StarRocks

Supported

Supported

Hudi

Supported

Supported

Doris

Supported

Supported

Greenplum

Supported

Supported

TDengine

Supported

Not supported

ArgoDB

Supported

Supported

SelectDB

Supported

Supported

Databricks

Supported

Supported

Amazon Redshift

Supported

Supported

DolphinDB

Supported

Supported

Snowflake

Supported

Supported

Data Lake Formation

Supported

Supported

File data sources

HDFS

Supported

Supported

FTP

Supported

Supported

OSS

Supported

Supported

Amazon S3

Supported

Supported

Message queue data sources

Log Service

Supported

Not supported

Kafka

Supported

Supported

DataHub

Supported

Supported

Relational data sources

PolarDB

Supported

Supported

PolarDB-X (formerly DRDS)

Supported

Supported

MySQL

Supported

Supported

SAP HANA

Supported

Supported

Microsoft SQL Server

Supported

Supported

PostgreSQL

Supported

Supported

AnalyticDB for MySQL 2.0

Supported

Not supported

AnalyticDB for MySQL 3.0

Supported

Supported

AnalyticDB for PostgreSQL

Supported

Supported

OceanBase

Supported

Supported

Oracle

Supported

Supported

Vertica

Supported

Supported

IBM DB2

Supported

Supported

Teradata

Supported

Supported

ClickHouse

Supported

Supported

DM (Dameng)

Supported

Supported

GBase 8a

Supported

Supported

KingbaseES

Supported

Supported

TiDB

Supported

Supported

GoldenDB

Supported

Supported

OpenGauss

Supported

Supported

GaussDB (DWS)

Supported

Supported

Amazon RDS for PostgreSQL

Supported

Supported

Amazon RDS for MySQL

Supported

Supported

Amazon RDS for SQL Server

Supported

Supported

Amazon RDS for Oracle

Supported

Supported

Amazon RDS for DB2

Supported

Supported

TDSQL for MySQL

Supported

Supported

PolarDB-X 2.0

Supported

Supported

GBase 8c

Supported

Supported

TDSQL for PostgreSQL

Supported

Supported

OushuDB

Supported

Supported

NoSQL data sources

HBase 0.9.4

Not supported

Not supported

HBase 1.1.x

Supported

Supported

HBase 2.0

Supported

Supported

Elasticsearch

Supported

Supported

MongoDB

Supported

Supported

Table Store

Supported

Supported

ApsaraDB for HBase

Not supported

Not supported

Redis

Supported

Not supported

Easysearch

Supported

Supported

OpenSearch

Supported

Supported

InfluxDB

Supported

Supported

Lindorm

Supported

Supported

Semi-structured data sources

API

Supported

Supported

SAP Table

Supported

Not supported

Salesforce

Supported

Not supported

Lark Base

Supported

Supported

Data sources supported for full-database migration

Data source type

Data source

Related documentation

Source data source

MySQL, Oracle, Microsoft SQL Server, OceanBase, IBM DB2, MaxCompute, FTP, TDengine, Hive, PostgreSQL, DM (Dameng), Amazon Redshift, Amazon RDS for PostgreSQL, Amazon RDS for MySQL, Amazon RDS for SQL Server, Amazon RDS for Oracle, Amazon RDS for DB2, TDSQL for MySQL, DolphinDB, PolarDB-X 2.0, and GBase 8c.

Destination data source

ArgoDB, TDH Inceptor, OushuDB, Hive, MaxCompute, AnalyticDB for PostgreSQL, StarRocks, SelectDB, Doris, GaussDB (DWS), Lindorm, Databricks, and Data Lake Formation.

Data sources supported for real-time integration

Real-time compute engine

Data source

Related documentation

Apache Flink (open source)

Flink on YARN

  • Source data sources: MySQL, Microsoft SQL Server, PostgreSQL, Oracle, IBM DB2, Kafka, Hive (Hudi table format), and PolarDB (MySQL-compatible)

  • Destination data sources: MaxCompute (standard and Delta tables), MySQL, Oracle, Kafka, DataHub, Databricks, Microsoft SQL Server, SelectDB, Hive (Hive, Hudi, Iceberg, and Paimon table formats), Hologres, StarRocks, and OushuDB

Flink on K8s

  • Source data sources: MySQL, Microsoft SQL Server, PostgreSQL, Oracle, Kafka, and PolarDB (MySQL-compatible)

  • Destination data sources: MySQL, Oracle, Kafka, Databricks, Microsoft SQL Server, SelectDB, Hologres, StarRocks, and OushuDB

Realtime Compute for Apache Flink (VVP)

  • Source data sources: MySQL, Microsoft SQL Server, PostgreSQL, Oracle, IBM DB2, Kafka, and PolarDB (MySQL-compatible)

  • Destination data sources: MaxCompute (standard and Delta tables), MySQL, Oracle, Kafka, DataHub, Databricks, Microsoft SQL Server, SelectDB, Hologres, and OushuDB

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