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Dataphin:Data sources supported by Data Integration

Last Updated:Nov 19, 2025

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

Scenarios for different integration types

Integration type

Scenarios

Offline integration

Applicable to scenarios such as data migration to the cloud and cloud data migration to on-premises business systems. For example, you can migrate data from an on-premises MySQL database to ApsaraDB RDS.

Whole database migration

Applicable to scenarios such as synchronizing data from databases in data centers or self-built databases on ECS to offline data warehouses (Hive) and big data compute services. For example, you can migrate data from a self-built MySQL database on ECS to MaxCompute.

Real-time integration

Applicable to scenarios where data changes in the entire database or all tables of the source data source are integrated into the destination data source in real time, achieving real-time data synchronization between the source and destination data sources.

Data sources supported by 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

Support

TDengine

Support

Not supported

ArgoDB

Support

supported

Paimon

Not supported

Not supported

SelectDB

supported

supported

Databricks

supported

supported

Amazon Redshift

Support

supported

DolphinDB

Supported

Not 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)

Support

supported

MySQL

supported

supported

SAP HANA

supported

supported

Microsoft SQL Server

Supported

supported

PostgreSQL

Support

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

Support

Support

Vertica

supported

Support

IBM DB2

supported

supported

Teradata

supported

supported

ClickHouse

supported

supported

Dameng (DM)

supported

supported

GBase 8a

supported

supported

KingbaseES

supported

supported

TiDB

supported

supported

GoldenDB

Support

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

Support

NoSQL data sources

HBase0.9.4

Not supported

Not supported

HBase1.1x

supported

supported

HBase2.0

supported

supported

Elasticsearch

supported

supported

MongoDB

supported

supported

Tablestore

supported

Support

Aliyun HBase

Not supported

Not supported

Redis

supported

Not supported

Lindorm (compute engine)

supported

supported

Easysearch

Supported

Supported

OpenSearch

Not supported

Supported

Semi-structured storage data sources

API

supported

supported

SAP Table

supported

Not supported

Salesforce

supported

Not supported

Data sources supported by whole database migration

Data source type

Data source

References

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, and PolarDB-X 2.0

.

Destination data source

ArgoDB, Hive, TDH Inceptor, MaxCompute, AnalyticDB for PostgreSQL, StarRocks, SelectDB, Doris, GaussDB (DWS), Lindorm (compute engine), Databricks.

Data sources supported by real-time integration

Real-time computing engine

Data source

References

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, and Hive (Hive, Hudi, Iceberg, and Paimon table formats)

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, and SelectDB

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, and SelectDB