All Products
Search
Document Center

Dataphin:Supported data sources for Data Integration

Last Updated:Jul 31, 2026

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

Scenarios for different integration types

Integration type

Scenarios

Offline integration

Use for scenarios such as migrating data to the cloud or migrating cloud data to on-premises business systems. For example, migrate data from a local MySQL database to an Alibaba Cloud ApsaraDB RDS instance.

Full database migration

Use to synchronize data from a database in your 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, migrate data from a self-managed MySQL database on an ECS instance to MaxCompute.

Real-time integration

Use to integrate data changes from an entire database or all tables in a source data source to a destination data source 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 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

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

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

Supported

AnalyticDB for MySQL 2.0

Supported

Not supported

AnalyticDB for MySQL 3.0

Supported

Supported

AnalyticDB for PostgreSQL

Supported

Supported

OceanBase

Support

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

Support

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

TDSQL for PostgreSQL

Supported

Supported

OushuDB

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

Not supported

Supported

Easysearch

Supported

Supported

OpenSearch

Supported

Supported

InfluxDB

Supported

Supported

Lindorm

Supported

Supported

Semi-structured storage

API

Supported

Supported

SAP Table

Supported

Not supported

Salesforce

Supported

Not supported

Lark Bitable

Supported

Supported

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

.

Destination data source

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

Data sources supported for real-time integration

Real-time computing 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, OushuDB

Flink on Kubernetes

  • 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, OushuDB

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, OushuDB