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Dataphin:Supported data sources for Data Integration

Last Updated:Mar 20, 2026

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

Scenarios for different integration types

Integration type

Scenarios

Offline integration

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

Whole-database migration

Suitable for synchronizing data from a data center or a self-managed database on an ECS instance to an offline data warehouse, such as Hive, or a big data computing service. For example, you can migrate data from a self-managed MySQL database on an ECS instance to MaxCompute.

Real-time integration

Suitable for integrating data changes from an entire database or all tables in a source to a destination in real time. This keeps the source and destination data sources synchronized.

Data sources supported for offline integration

Data source

Read

Write

Big Data Storage Data Source

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

Paimon

Not supported

Not supported

SelectDB

Supported

Supported

Databricks

Supported

Supported

Amazon Redshift

Supported

Supported

DolphinDB

Supported

Supported

Snowflake

Supported

Supported

Data Lake Formation

Supported

Supported

File Data Source

HDFS

Supported

Supported

FTP

Supported

Supported

OSS

Supported

Supported

Amazon S3

Supported

Supported

Message Queue Data Source

Log Service

Supported

Not supported

Kafka

Supported

Supported

DataHub

Supported

Supported

Relational Data Source

PolarDB

Supported

Supported

PolarDB-X (formerly DRDS)

Supported

Supported

MySQL

Supported

Supported

SAP HANA

Supported

Supported

Microsoft SQL Server

Supported

Supported

PostgreSQL

Supported

Support

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

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-X2.0

Supported

Supported

GBase 8c

Supported

Supported

NoSQL Data Source

HBase0.9.4

Not supported

Not supported

HBase1.1x

Supported

Supported

HBase2.0

Supported

Supported

Elasticsearch

Supported

Supported

MongoDB

Supported

Supported

Tablestore

Supported

Supported

Aliyun HBase

Not supported

Not supported

Redis

Supported

Not supported

Lindorm (compute engine)

Supported

Supported

Easysearch

Supported

Supported

OpenSearch

Supported

Supported

Semi-structured storage data source

API

Supported

Supported

SAP Table

Supported

Not supported

Salesforce

Supported

Not supported

Lark Bitable

Supported

Supported

Data sources supported for 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, 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-X2.0, GBase 8c

.

Destination data source

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

Data sources supported for real-time integration

Real-time compute engine

Data source

References

Apache Flink (open source Flink)

Flink on YARN

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

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

Flink on K8s

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

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

Alibaba Cloud Realtime Compute for Flink (VVP)

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

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