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Applicable EditionsTapData CloudTapData Cloud offers you cloud services that are suitable for scenarios requiring rapid deployment and low initial investment, helping you focus more on business development rather than infrastructure management. Free trial with TapData Cloud.TapData EnterpriseTapData Enterprise can be deployed in your local data center, making it suitable for scenarios with strict requirements on data sensitivity or network isolation. It can serve to build real-time data warehouses, enable real-time data exchange, data migration, and more.TapData CommunityTapData Community is an open-source data integration platform that provides basic data synchronization and transformation capabilities. This helps you quickly explore and implement data integration projects. As your project or business grows, you can seamlessly upgrade to TapData Cloud or TapData Enterprise to access more advanced features and service support.

This article introduces common terms used in TapData to help you quickly understand product and feature concepts.

Full Data Synchronization​

Database migration or cloning, within the data flow task, is ideal for business scenarios involving complete data migration between different library-level data sources. This includes instances where data needs to be migrated, moved up or down the cloud, or when databases need to be split and expanded.

Incremental Data Synchronization​

In the data flow task, the real-time synchronization of data among multiple data sources through specific association relationships or processing is suitable for meeting user scenarios such as data analysis, processing, and disaster recovery without impacting user business operations.

Data Source​

The data sources that can be connected to the TapData system from external sources include databases, and in the future, there are plans to gradually expand the support for other types such as files, GridFS, RestAPI, Dummy, Custom, UDP, Cache, and more.

Data Replication​

Also known as database replication/cloning, involves full or real-time incremental migration of data between various levels of data sources in data flow tasks. Applicable for instance data migration, cloud migration, database splitting, and expansion scenarios.

Data Transformation​

In data flow tasks, real-time synchronization of data between multiple tables or other types of data through specific association or processing. Suitable for scenarios such as data analysis, processing, and disaster recovery without affecting user operations.

Data Service​

In data flow tasks, generating a new model from one or more tables' different fields and publishing it externally via an API. Users can obtain data content through the API.


Also known as a data source, it refers to the database that connects externally to the TapData system. Currently supported connections include: MySQL, Oracle, MongoDB, SQL Server, PostgreSQL, Kafka, Redis, etc.


Refers to the general term for data sources and processing methods selected in the data task arrangement page.

Processing Node​

Refers to nodes for various processing functions to meet data synchronization needs. Currently supported processing nodes include: JavaScript/Java processing, database table filtering, field processing, row-level processing, etc.

Source Node​

In data tasks, among any two adjacent connected nodes, it refers to the node that is at the source/end generating the connection.

Target Node​

In data tasks, among any two adjacent connected nodes, it refers to the node that is at the target/end being pointed to by the connection.

Shared Mining​

Refers to the sharing of incremental logs. When the feature is enabled, shared mining extracts incremental logs, eliminating the need for multiple incremental tasks to start a log collection process from the same source, significantly alleviating resource consumption and wastage on the source database.

Shared Cache​

Refers to storing some commonly used data from tables into the cache for different tasks to call and process, eliminating the need to retrieve data from the source, thereby improving efficiency.


In data migration or synchronization tasks, the mode of migrating or synchronizing existing data in the data source node.

TapData Agent​

Refers to the execution program that runs the synchronization task, and is responsible for obtaining the task from the management side, connecting the source data source, performing data conversion, and outputting to the target data source.

TCM Management Side​

The TapData management console enables users to define custom orchestration synchronization tasks and deploy these tasks to synchronization instances for execution.