In the era of data-driven transformation, breaking down “data silos” is the cornerstone of every enterprise’s digital journey. As the next-generation high-performance, distributed, and massive-scale data integration framework, Apache SeaTunnel stands out with its powerful connector ecosystem that can “connect everything.” Today, we bring you the most complete list of Apache SeaTunnel Source connectors ever, showcasing the breadth and depth of its ecosystem. Whether you’re an architect, data engineer, or developer, this list is worth bookmarking! Apache SeaTunnel, with its highly pluggable architecture, can easily integrate with various data sources. Developers don’t need to worry about implementation details—simple configuration is enough to read and write massive datasets. Below, we categorize Source connectors into 10 major groups and review them one by one. 🗃️ 1. The Classics: Relational Databases Relational databases are at the core of enterprise operations. SeaTunnel offers broad support for mainstream relational databases, from traditional commercial systems to emerging domestic solutions. JDBC: A universal connector, theoretically supporting all databases with JDBC drivers.MySQL / PostgreSQL / Oracle / DB2: Specialized, optimized connectors for mainstream databases.Kingbase (人大金仓): Supports domestic databases, meeting “Xinchuang” requirements.OceanBase: Integration with Ant Group’s distributed relational database.Phoenix: Connects to the SQL layer on HBase, enabling SQL queries over HBase. JDBC: A universal connector, theoretically supporting all databases with JDBC drivers. MySQL / PostgreSQL / Oracle / DB2: Specialized, optimized connectors for mainstream databases. Kingbase (人大金仓): Supports domestic databases, meeting “Xinchuang” requirements. OceanBase: Integration with Ant Group’s distributed relational database. Phoenix: Connects to the SQL layer on HBase, enabling SQL queries over HBase. 🚀 2. Big Data Engines: Data Warehouses & OLAP Analytical databases and OLAP engines are key to unlocking business value. SeaTunnel covers almost all popular analytical engines. ClickHouse / Doris / StarRocks: Leaders in ultra-fast MPP data warehouses, ideal for real-time analytics.Greenplum / MaxCompute (ODPS): Strong support for traditional and cloud-based data warehouses.Snowflake / Redshift: Seamless integration with the world’s leading cloud data warehouses.Databend / Cloudberry: Support for emerging cloud-native data warehouses. ClickHouse / Doris / StarRocks: Leaders in ultra-fast MPP data warehouses, ideal for real-time analytics. Greenplum / MaxCompute (ODPS): Strong support for traditional and cloud-based data warehouses. Snowflake / Redshift: Seamless integration with the world’s leading cloud data warehouses. Databend / Cloudberry: Support for emerging cloud-native data warehouses. 🔍 3. Agile & Scalable: NoSQL & Search Engines SeaTunnel handles unstructured, semi-structured, and search data sources with ease. MongoDB: Document-oriented NoSQL database.Elasticsearch / Easysearch: Mainstream distributed search engines.HBase / Cassandra / Kudu: Columnar distributed NoSQL databases.Neo4j: A leading graph database.Redis / Amazon DynamoDB: High-performance key-value stores.Milvus / OpenMldb: Vector/feature databases for AI and ML scenarios. MongoDB: Document-oriented NoSQL database. Elasticsearch / Easysearch: Mainstream distributed search engines. HBase / Cassandra / Kudu: Columnar distributed NoSQL databases. Neo4j: A leading graph database. Redis / Amazon DynamoDB: High-performance key-value stores. Milvus / OpenMldb: Vector/feature databases for AI and ML scenarios. 🏞️ 4. Modern Data Platforms: Data Lakes & Lakehouses Data lakes and lakehouses are the backbone of modern data architectures. SeaTunnel natively supports the three mainstream open table formats. Iceberg: Open table format designed for large-scale analytic datasets.Hudi: Manages large datasets stored in distributed file systems.Paimon: Storage technology tailored for streaming data lakes. Iceberg: Open table format designed for large-scale analytic datasets. Hudi: Manages large datasets stored in distributed file systems. Paimon: Storage technology tailored for streaming data lakes. ⚡ 5. Real-Time Pulse: Change Data Capture (CDC) CDC is essential for real-time synchronization and real-time data warehouses. SeaTunnel provides CDC connectors for multiple databases. MySQL CDC: Captures MySQL changes in real time via Binlog.PostgreSQL CDC: Captures PostgreSQL changes via logical decoding.SqlServer CDC / Oracle CDC: Real-time change capture for mainstream commercial databases.MongoDB CDC: Streams changes from NoSQL databases.OpenGauss CDC: CDC support for domestic open-source databases. MySQL CDC: Captures MySQL changes in real time via Binlog. PostgreSQL CDC: Captures PostgreSQL changes via logical decoding. SqlServer CDC / Oracle CDC: Real-time change capture for mainstream commercial databases. MongoDB CDC: Streams changes from NoSQL databases. OpenGauss CDC: CDC support for domestic open-source databases. ☁️ 6. Ubiquitous Sources: Files & Object Storage From local files to cloud-based object storage, SeaTunnel makes them first-class data sources for batch and incremental integration. LocalFile / HdfsFile / FtpFile / SftpFile: Support for local, HDFS, and FTP/SFTP file systems.S3File / OssFile / CosFile / ObsFile: Full coverage of AWS, Alibaba, Tencent, and Huawei object storage.OssJindoFile: Efficient OSS access via Jindo SDK (Alibaba Cloud). LocalFile / HdfsFile / FtpFile / SftpFile: Support for local, HDFS, and FTP/SFTP file systems. S3File / OssFile / CosFile / ObsFile: Full coverage of AWS, Alibaba, Tencent, and Huawei object storage. OssJindoFile: Efficient OSS access via Jindo SDK (Alibaba Cloud). 📨 7. Data Arteries: Message Queues Message queues are the entry point for streaming. SeaTunnel supports all mainstream MQ systems. Kafka / Pulsar: Top choices for distributed streaming platforms.RocketMQ / RabbitMQ: Widely used enterprise-grade MQs.AmazonSQS: Integration with AWS Simple Queue Service. Kafka / Pulsar: Top choices for distributed streaming platforms. RocketMQ / RabbitMQ: Widely used enterprise-grade MQs. AmazonSQS: Integration with AWS Simple Queue Service. 📈 8. IoT Era: Time-Series Databases In IoT and monitoring, time-series databases are crucial. SeaTunnel integrates with leading TSDBs. InfluxDB: A popular open-source time-series database.IoTDB: Apache top-level project purpose-built for IoT.TDengine: A high-performance, distributed IoT big data platform. InfluxDB: A popular open-source time-series database. IoTDB: Apache top-level project purpose-built for IoT. TDengine: A high-performance, distributed IoT big data platform. 🌐 9. Connecting Everything: SaaS & APIs Modern enterprises rely on countless SaaS services. SeaTunnel provides strong API integration to extract data from them. Http / GraphQL: General-purpose API connectors for any HTTP or GraphQL service.Github / Gitlab / Jira: Data extraction from dev & project management tools.Notion / GoogleSheets: Integration with collaboration & productivity tools.Klaviyo / Lemlist etc.: Connectors for specific marketing & sales SaaS platforms. Http / GraphQL: General-purpose API connectors for any HTTP or GraphQL service. Github / Gitlab / Jira: Data extraction from dev & project management tools. Notion / GoogleSheets: Integration with collaboration & productivity tools. Klaviyo / Lemlist etc.: Connectors for specific marketing & sales SaaS platforms. 🛠️ 10. Essentials: Tools & Miscellaneous FakeSource: Generates mock data—handy for development & testing.Socket: Reads data directly from network socket streams.Prometheus: Pulls metrics from the leading monitoring system. FakeSource: Generates mock data—handy for development & testing. Socket: Reads data directly from network socket streams. Prometheus: Pulls metrics from the leading monitoring system. Summary & Outlook From the above list, it’s clear that Apache SeaTunnel’s connector ecosystem already covers every corner of the data landscape—from traditional databases to cloud-native warehouses, from big data platforms to SaaS apps—truly realizing the vision of “connecting everything.” Behind this power lies its highly pluggable plugin architecture and vibrant open-source community, enabling developers to easily contribute new connectors and ensuring the ecosystem continues to grow rapidly. For data professionals, such a rich connector ecosystem means less custom development, faster delivery, and lower technical barriers. So what are you waiting for? Start exploring the power of Apache SeaTunnel today! Learn More: Official Website: 1GitHub (Star us!): 2Official Docs: 3 Official Website: 1 1 1 GitHub (Star us!): 2 2 2 Official Docs: 3 3 3

Amazon

Huawei

Apache

Notion

Seamless

MongoDB

GitHub

Here's Why Databricks Is Worth $100 Billion

Tracking Data Lineage at Scale: How This Offline Platform Handles Petabytes Daily

Read My Stories

Too Long; Didn't Read

Get Free Unlimited IP Geo Data With IPinfo Lite

Apache SeaTunnel Source Connectors 2025: Your Complete Data Integration Guide

Apache SeaTunnel Source Connectors 2025: Your Complete Data Integration Guide

About Author

Comments

TOPICS

THIS ARTICLE WAS FEATURED IN

Related Stories

A 10-Minute Deep Dive Into the Core Architecture of Apache SeaTunnel and DataX

What the heck is Apache SeaTunnel?

How to Sync Data From MySQL to Doris Using SeaTunnel

How to Simplify Data Flow By Multi-Table Synchronization With Apache SeaTunnel

Source Code Analysis of Apache SeaTunnel Zeta Engine (Part 1): Server Initialization

The Evolution of Apache SeaTunnel’s Technical Architecture and Its Applications in the AI Field

A 10-Minute Deep Dive Into the Core Architecture of Apache SeaTunnel and DataX

What the heck is Apache SeaTunnel?

How to Sync Data From MySQL to Doris Using SeaTunnel

How to Simplify Data Flow By Multi-Table Synchronization With Apache SeaTunnel

Source Code Analysis of Apache SeaTunnel Zeta Engine (Part 1): Server Initialization

The Evolution of Apache SeaTunnel’s Technical Architecture and Its Applications in the AI Field

Light-Mode

Classic

Newspaper

Dark-Mode

Neon Noir

Minty

HN StartUps