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Data Management:Overview

Last Updated:Mar 13, 2025

Data+AI module of Data Management (DMS) provides GUI features for data integration, data development, and data services. This enhances the data lifecycle management.

Benefits

  • Supports low-code development.

  • Fully compatible with Flink and Spark.

  • Ensures data security on data chains and during data development.

  • Supports minute-level scheduling.

  • Supports multi-environment management.

Scenarios

Database development: cross-database development, scheduled tasks, data archiving, data migration, and report development

Notebook

Notebook works with large language models (LLM) to empower business developers, data developers, analysts, and data operators and improve the efficiency of data delivery and self-service data analysis. You can use this feature to deliver information, such as query data, test data, and data change trends, in the form of documents. After the document is delivered, you can use AI Agent of DMS to provide Q&A services throughout the day. For more information, see Notebook.

DTS

  • Data synchronization

    You can use the data synchronization feature to synchronize data between data sources in real time. This feature is applicable to the following scenarios: active geo-redundancy, geo-disaster recovery, zone-disaster recovery, cross-border data synchronization, cloud business intelligence (BI) systems, and real-time data warehousing. For more information, see Overview of data synchronization solutions.

  • Data migration

    You can use the data migration feature to migrate data between homogeneous data sources or between heterogeneous data sources. This feature is applicable to the following scenarios: data migration to Alibaba Cloud, data migration between instances within Alibaba Cloud, and database splitting and scale-out. For more information, see Overview of data synchronization solutions.

  • Change tracking

    You can use the change tracking feature to query real-time incremental data of databases. For more information, see Overview of change tracking scenarios.

  • Data verification

    The data verification feature is provided by DTS to monitor data differences between the source and destination databases. You can perform data verification on the source and destination databases without downtime. This helps you detect inconsistencies in data and schemas at the earliest opportunity. For more information, see What is data verification?

Data development

You can use the task orchestration feature to orchestrate and schedule various tasks. You can create a task flow composed of one or more task nodes to implement complex task scheduling and improve data development efficiency. For more information, see Overview.