qData Data Platform Pro Edition Feature List

qData Data Platform takes "standards first, full-domain development, closed-loop governance, open services, and intelligent drive" as its core philosophy. It covers the full lifecycle of data from access, modeling, and governance to services, helping enterprises build a unified, trustworthy, usable, and shareable data foundation.

No.	Module	Submodule	Function Description	Open-Source Edition	Pro Edition	Open-Source Edition Difference Notes
1	System Management	User Management	Supports full lifecycle management of user accounts (add, edit, delete, enable/disable, query), password reset, and role assignment, enabling unified identity management and meeting organization-level user governance needs.			/
		Role Management				/
		Menu Management	Supports visual configuration of system menus and function points, supports multi-level tree structures, and can be bound to roles to implement dynamic control of interfaces and permissions.			/
		Department Management	Supports hierarchical configuration and maintenance of the organizational structure, builds an enterprise-level department tree, and provides an organizational foundation for permission allocation and task ownership.			/
		Position Management	Supports position definition and user binding, improving the match between personnel responsibilities and system permissions.			/
		Dictionary Management	Provides system-level data dictionary management capabilities, supports unified maintenance of common codes such as status, type, and category, and ensures consistent data definitions and standardized frontend display.			/
		System Parameters	Supports centralized configuration and dynamic adjustment of system runtime parameters, improving system flexibility and maintainability.			/
		Notices	Supports publishing, editing, and managing system announcements, operations notices, and business reminders, enabling targeted delivery of important information and full staff reach.			/
		Log Management	Centrally records user operation logs and system runtime logs, supports multi-dimensional search by time, user, operation type, and more, as well as download and audit, meeting compliance and issue traceability needs.			/
2	Basic Management	Data Source Management				/
			1. Relational database types Supports access to and unified management of mainstream relational database data sources, including MySQL, Oracle, Oracle11, SQL Server, SQL Server2008, PostgreSQL, DM8, Kingbase8, DB2, OSCAR, and more. Data source configuration, connection management, and subsequent usage can be completed in the unified platform, meeting data access needs in traditional business database scenarios.			Open-Source Edition supports: MySQL, Oracle, Dameng (DM8).
			2. Big data database types Supports data source access and management for big data and analytical databases, including Hive, Phoenix, Doris, ClickHouse, and more. Applicable to metadata collection, data access preparation, and analytics scenario support in big data environments, improving the usability and management efficiency of big data assets.			/
			3. NoSQL database types Supports data source access for common NoSQL databases, including MongoDB, Redis, and more. Meets data access and unified management needs for unstructured data, cache data, and high-concurrency scenarios.
			4. Message queue types Supports data source access and configuration management for mainstream message queues, including Kafka, RabbitMQ, and more. Used for real-time data stream access, consumption configuration, and unified management, ensuring continuity of real-time data processing and analytics.			/
			5. File types Supports file and object storage data source access, including FTP, OSS (Alibaba Cloud), HDFS, and more. Meets data access needs for file data collection, shared storage access, and distributed file scenarios.			/
		Source System	Supports unified registration and management of business source systems, maintains information such as system name, code, and owner, and enables unified data source management. 1. Supports unified registration and management of business source systems. 2. Supports maintaining basic information such as system name, code, and owner. 3. Supports unified data source management.			/
		Audit Rules		🟡		1. Open-Source Edition includes 3 built-in Audit Rules that can be referenced for secondary development; 2. Pro Edition includes 20+ built-in Audit Rules.
		Cleansing Rules		🟡		1. Open-Source Edition includes 5 built-in Cleansing Rules that can be referenced for secondary development; 2. Pro Edition includes 30+ built-in Cleansing Rules.
		Project Management (Workspace isolation in Data Development scenarios)				/
		Category Management	Provides multi-dimensional Category Management capabilities, supporting unified classification of objects such as Data Assets, Logical Models, Data Elements, tasks, Data Development, jobs, and APIs. Through tree structures and multi-level management mechanisms, it enables flexible organization and fast lookup, improving the standardization and clarity of asset management. 1. Data Asset Category Supports add, edit, delete, and query operations, and can bind Data Assets to categories in the asset menu; tree structures and multi-level classification improve asset categorization and lookup efficiency. 2. Logical Model Category Supports Logical Model category management and binding, provides tree-based hierarchical display, and facilitates unified model organization and cross-project lookup. 3. Data Element Category Provides category creation, maintenance, and binding for data elements, supports multi-level classification, and ensures centralized management and fast location of standard definitions. 4. Task Category Supports categorized management and binding of integration tasks, uses hierarchical display structures to help users clearly manage different tasks, and facilitates cross-task scheduling and reuse. 5. Data Development Category Provides category management and binding for Data Development tasks, organizes development assets through tree-based hierarchy, and improves manageability of development tasks. 6. Job Category Supports maintenance and binding of job categories, uses hierarchical display to help operations staff visually manage jobs, and improves scheduling and monitoring efficiency. 7. API Category Provides category add, edit, and binding functions for API services, using tree-based hierarchical organization to facilitate unified service management and standardized invocation.			/
3		Modeling Overview	Provides a unified view of data modeling progress across business planning, logical models, metric models, and model publication, including model distribution by warehouse layer, publication distribution, and recent activity. 1. Displays counts and monthly changes for data domains, subject areas, conceptual models, logical models, metric models, and published models. 2. Visualizes the standard modeling workflow: business planning, warehouse layers, logical modeling, metrics and standards, and model publication. 3. Shows how modeling outputs are used by data integration, development, governance, assets, and services. 4. Reports model counts and proportions by warehouse layer, and the distribution of physical table types among published models. 5. Displays recent model creation, modification, and publication activity.			/
		Business Planning	Plans data domains, subject areas, and business entities from a business perspective. Business classification, entity relationship management, and conceptual models establish a unified business model framework for subsequent logical model design. 1. Data Domains Plans enterprise data by business domain, managing subject areas, business entities, and logical table naming conventions to clarify business ownership and modeling scope. 1. Supports adding, editing, deleting, searching, and enabling/disabling data domains, including their names and English names. 2. Displays domain details, subject areas, business entities, and naming rules, with counts of subject areas, business objects, and business activities. 3. Manages business entities within a domain: business objects (ordinary and hierarchical objects) and business activities (events and processes), with add, edit, delete, search, online/offline status, and version management. 4. Configures association, inheritance, containment, predecessor/successor, and flow relationships between entities. 5. Configures naming conventions for different logical table types, including table prefixes, time-granularity suffixes, and subject area codes, and generates recommended logical table names. 2. Subject Areas Classifies business entities by business topic within data domains, using a tree structure and multiple levels for unified organization. 1. Supports adding, editing, deleting, searching, and enabling/disabling subject areas, with names, codes, and owners. 2. Supports a tree structure with up to five levels and adding child subject areas. 3. Displays subject areas by data domain, including entity counts and related information. 4. Associates business entities with subject areas to classify business objects and activities. 3. Conceptual Models Displays business entities and their relationships on a visual canvas, using different nodes and connections to distinguish entity and relationship types. 1. Organizes entities in a tree by data domain and subject area and displays entity relationship diagrams on the canvas. 2. Displays four entity types (ordinary objects, hierarchical objects, business events, and business processes) and five relationship types (association, inheritance, containment, predecessor/successor, and flow). 3. Distinguishes types through node styles and connection colors; selecting a relationship type highlights its connections. 4. Displays entity details and relationships, with context-menu actions for editing entities, adding logical tables, adding child objects, and adding related entities. 5. Supports canvas zoom, positioning, refresh, and export.			/
		Logical Model				/
		Metric Models	Defines and manages atomic metrics, business qualifiers, and derived metrics. Standardized calculation logic, business filters, and statistical periods ensure consistent, reusable metric definitions. 1. Atomic Metrics Defines atomic metrics from dimension/fact logical tables, managing calculation fields, aggregation methods, statistical time fields, and measurement units as a basis for derived metrics and aggregate models. 1. Supports adding, editing, deleting, searching, viewing details, and enabling/disabling metrics, classified by data domain and subject area. 2. Associates business entities and source dimension/fact tables, and configures metric names, data timeliness, and owners. 3. Selects SUM, COUNT, MAX, MIN, AVG, or other aggregation methods and calculation fields to generate calculation expressions. 4. Configures statistical time fields, result data types, measurement units, and metric definitions for consistent calculation rules. 5. Displays basic information and related derived metrics, and manages metric references. 2. Business Qualifiers Defines and manages business filters for metric calculations, providing basic qualifier configuration for unified maintenance and reuse. 1. Supports adding, editing, deleting, searching, viewing details, and enabling/disabling qualifiers, classified by data domain and subject area. 2. Associates business entities and source logical tables, and configures qualifier names, data timeliness, and owners. 3. Configures basic qualifiers to define data filters for different business scenarios. 4. Provides a calculation logic editor with field references, formatting, and validity checks. 5. Displays calculation logic, related derived metrics, and version changes. 3. Derived Metrics Combines atomic metrics, business qualifiers, statistical periods, and granularity to create derived metrics, managing scenario-specific definitions and associating DWS aggregate logical tables. 1. Supports adding, editing, deleting, searching, viewing details, and enabling/disabling metrics, classified by data domain and subject area. 2. Selects atomic metrics and qualifiers and configures periods, granularity, and metric names to form statistical definitions for different scenarios. 3. Configures periods such as the most recent N days and one or more statistical granularities for different time ranges and business dimensions. 4. Matches corresponding DWS aggregate logical tables automatically by statistical granularity and data timeliness, linking derived metrics with aggregate models. 5. Configures metric data types, measurement units, metric definitions, and tags. 6. Displays basic information, upstream dependencies, and version changes to trace metric sources and calculation definitions.			/
		Materialized Models (Model Publication)		🟡		/
		Data Standards	1. Standard Search Provides a unified search entry for standard resources, supports quick query by name, centrally displays national standards, industry standards, local standards, group standards, and more, and supports viewing details. 2. National Standards Supports browsing national standards by category and conditional query; can filter by standard number, standard name, and standard status; and supports add, edit, and detail view operations. 3. Industry Standards Supports categorized search and list management for industry standards, can quickly locate standard information by category and query conditions, and supports add, edit, and detail view operations. 4. Local Standards Supports categorized query and maintenance management for local standards, can filter by standard number, name, status, and other conditions, and supports add, edit, and detail view operations. 5. Group Standards Supports categorized search and daily maintenance for group standards, can query standard information by category and conditions, and supports add, edit, and detail view operations.			/
		Standard Data Elements	Manages data elements and code tables together, standardizing field names, data types, lengths, and code values to provide consistent data standards for modeling and governance. 1. Data Elements 1. Classifies data elements by category, with add, edit, delete, search, import, and enable/disable operations. 2. Maintains Chinese and English names, field types, lengths, decimal places, standard types, and standard registration information. 3. Associates cleansing and audit rules and displays data element relationships and details. 2. Code Tables 1. Supports adding, editing, deleting, searching, and enabling/disabling code tables, organized by standard data element category. 2. Maintains code table names, field types, lengths, standard types, and standard registration information. 3. Supports adding, editing, deleting, and searching code dictionaries, maintaining code values and names. 4. Displays code mappings, related information, and details for consistent code value management.			/
4		Data Source Management				/
		Data Integration		🟡		/
		Full Database Synchronization				/
		Data Development		🟡		/
		Job Management				/
		Operations Management	Supports unified query and runtime monitoring for task instances such as full database synchronization, Data Integration, Data Development, and jobs, making it easy to view task execution status, execution time, and instance results for daily troubleshooting and operations management. 1. Supports viewing full database synchronization instances, Data Integration instances, Data Development instances, and job instances by task type. 2. Supports filtering task instances by instance name, execution status, execution time, and other conditions. 3. Supports categorized retrieval of Data Integration instances, Data Development instances, and job instances through category trees. 4. Supports viewing instance name, execution type, execution status, start time, end time, owner, creator, and other information in the instance list.			/
		Project Basic Management(Project Management)				/
5	Data Governance	Metadata Management		🟡		/
			3. Metadata Management (Table Type, Latest) Supports unified management of collected table metadata, pre-publishes metadata objects by data source or source system management, and provides field viewing, version management, version comparison, and lineage analysis. 1. Supports browsing metadata from the data source perspective, and viewing table metadata under different database connections through the data source tree on the left. 2. Supports viewing metadata name, description, source system, latest version, collection task, update frequency, and other information in the list. 3. Supports viewing table metadata details, including table comments, database name, metadata type, collection task, version number, and other basic information. 4. Supports viewing the field list, including field name, description, data type, nullable flag, default value, and other content. 5. Supports viewing metadata version management information, recording version number, change type, change details, operator, and version generation time. 6. Supports viewing lineage analysis and showing table-level relationships between upstream and downstream nodes. 4. Metadata Comparison Supports difference comparison between different versions of the same metadata object, making it easy to identify metadata changes and perform version checks. 1. Supports selecting a baseline version and comparison version to compare different versions of the same metadata object. 2. Supports displaying basic information for the two versions, including metadata type, number of fields, table description, collection completion time, and execution method. 3. Supports viewing version differences by field dimension, including field name, data type, nullable flag, default value, and description.
		Master Data Management				/
			3. Master Data Management Supports unified maintenance and daily management of master data, including query, add, edit, enable/disable, and delete processes, ensuring that master data content remains continuously updated and available. 1. Supports selecting a specific master data entity and performing unified maintenance and management for the corresponding master data. 2. Supports querying master data content by conditions to quickly locate records that need maintenance. 3. Supports adding, editing, deleting, enabling/disabling, and other operations for daily master data maintenance. 4. Supports batch importing master data to improve batch data initialization and update efficiency. 4. Master Data Subscription Supports unified management of subscription relationships between master data entities and subscribed applications, establishing a distribution channel among master data, applications, and push addresses, and enabling active push after master data changes. 1. Supports selecting master data entities and subscribed applications to establish master data subscription relationships. 2. Supports maintaining subscribed application, webhook address, status, creator, last editor, last edit time, and other information. 3. Supports adding, editing, deleting, viewing details, and enabling/disabling subscription relationships. 4. Supports actively pushing incremental information to third-party applications according to subscription relationships after master data changes. 5. Master Data Push Records Supports unified recording and querying of push execution after master data subscription, displaying each push content to facilitate troubleshooting abnormal pushes and resend processing. 1. Supports querying push records by master data entity, subscribed application, master data change type, push content, push status, push time, and other conditions. 2. Supports viewing master data entity, subscribed application, data change type, push content, push time, and push status in the list. 3. Supports resending failed or abnormal push records to reduce repeated manual configuration.
		Data Quality		🟡		/
		Data Security				/
6	Data Assets	Data Marketplace		❌		/
		Approval Requests		❌		/
		Asset Management		🟡		/
		Data Query	Supports querying and analyzing multi-source data through SQL editing, making it easy for users to quickly locate data and complete temporary queries. 1. Supports browsing different databases and table objects by data source catalog tree to quickly locate query targets. 2. Supports expanding and viewing database and table lists in the left catalog, and quickly searching by data source name. 3. Supports writing SQL statements in the query editor and executing query analysis on the specified data source. 4. Supports switching target data sources and performing queries across different database connections. 5. Supports executing SQL queries and displaying query result details in a pop-up window. 6. Supports viewing query results in table form, showing field names and data content. 7. Supports paged browsing of query results for viewing large volumes of data. 8. Supports exporting query results for subsequent analysis and retention.			/
		Asset Tags	Supports unified management of asset tags and their classifications. A hierarchical tag system marks and classifies asset objects, helping users quickly retrieve target assets in the asset list. 1. Supports displaying asset tag classifications as a tree on the left and the tag list on the right. 2. Supports adding, editing, deleting, and querying asset tags and their classifications. 3. Supports applying tags to asset objects such as tables, files, and APIs, and supports binding multiple tags to a single asset.			/
		Terminology Management	Supports unified management of business terminology. Standardized terminology definitions regulate asset attribute naming and business meaning, eliminate data ambiguity, and ensure that differently named fields can map to the same business caliber. 1. Supports displaying asset terminology categories as a tree on the left and the terminology list on the right. 2. Supports adding, editing, deleting, and querying business terms and their categories. 3. Supports applying terminology at the asset attribute (field) level to clarify the business caliber of fields.			/
		Sensitive Data Inventory		❌		/
		Marketplace Categories		❌		/
7	Data Services					/
		Request Logs	Supports unified recording and querying of API calls, displaying API call time, call status, call duration, and request information, making it easy to track API usage and troubleshoot call issues. 1. Supports viewing corresponding request logs by API service category. 2. Supports querying request logs by API service name, status, call time, and other conditions. 3. Supports viewing API service name, caller IP, called API address, call data volume, call duration, status, call time, and other information in the list. 4. Supports viewing details of a single call, including call parameters, request method, exception information, and other content. 5. Supports deleting request logs and other management operations.			/
		API Online Testing	Supports online debugging and result verification for configured APIs, making it easy to check API parameter configuration, returned results, and service availability. 1. Supports filling in request parameters and initiating online call tests. 2. Supports viewing request parameters and returned results to verify whether API configuration is correct.			/
		Application Management	Supports unified management of applications that call APIs, configuring and maintaining application basic information, public status, application keys, and API authorization relationships. 1. Supports adding, editing, deleting, and viewing details of application information. 2. Supports maintaining application name, application type, application icon, public/private flag, description, remarks, and other basic information. 3. Supports querying applications by application name, application type, public/private flag, and other conditions. 4. Supports viewing application name, description, application type, application icon, public/private flag, creator, creation time, and other information in the list. 5. Supports viewing application key, application icon, application type, description, and other content on the details page. 6. Supports resetting application keys to protect application access security.			/
						/
8	Data Visualization		Provides multidimensional data analysis and visualization display capabilities, supports custom report design and data drill-down, and quickly generates charts and dashboards through visual drag-and-drop, helping users efficiently gain insight into business data. 1. Multidimensional Data Analysis Supports statistics and analysis by business domain, topic, time, and other dimensions to meet data exploration needs in multiple scenarios. 2. Rich Charts and Templates Provides bar charts, line charts, pie charts, dashboards, and other chart types, as well as common report templates, making reports easy to generate quickly. 3. Custom Reports and Drill-Down Supports custom report structures and display styles, and provides data drill-down capabilities to analyze from overall indicators down to detailed data step by step.			/
		Large-Screen Dashboard Design	Provides visual large-screen dashboard design and display capabilities, supports drag-and-drop layout and multi-type component configuration, helps users quickly build data dashboards, and enables intuitive presentation and real-time monitoring of business indicators. 1. Visual Editor Provides a drag-and-drop design interface where users can freely add, adjust, and combine charts, controls, and backgrounds, simplifying the large-screen dashboard design process. 2. Rich Component Library Includes multiple chart types such as bar charts, line charts, pie charts, maps, and dashboards, as well as display controls, meeting Data Visualization needs in multiple scenarios. 3. Free Layout Supports arbitrary layout and size adjustment of multiple components, forming personalized and scenario-based large-screen dashboard display effects. 4. Real-Time Data Access Supports connecting to multiple data sources and implementing real-time refresh and dynamic updates to ensure the timeliness and accuracy of displayed content. 5. Preview and Publishing Provides large-screen dashboard preview capability and supports one-click publishing to display terminals or portals for convenient sharing and display.			/
		Dashboard Design	Provides flexible dashboard design and display capabilities, supports multidimensional metric combinations, visual component configuration, and interactive analysis, helping users quickly build business monitoring panels and understand core indicators in real time. 1. Visual Editor Provides a drag-and-drop design interface and supports free combination of charts, text, metric cards, and other components, simplifying the dashboard building process. 2. Multidimensional Metric Display Supports combining business indicators by topic, time, region, and other dimensions to form comprehensive monitoring views. 3. Rich Chart Types Includes line charts, bar charts, pie charts, area charts, radar charts, and other chart types to meet Data Visualization needs in multiple scenarios.			/
9		AI Data Inquiry	1. Answers natural-language questions about selected tables or data scopes. 2. Creates conversations and displays previous questions in conversation history for continued analysis and reuse. 3. Searches previous questions to locate analysis topics quickly. 4. Selects a data scope from specified tables, datasets, or business data sources. 5. Adds one or more tables for cross-table analysis. 6. Generates written insights from query results, highlighting key conclusions, maxima, minima, and anomalies. 7. Displays results as charts for comparing data and understanding distributions. 8. Provides a detail-data view of underlying query results. 9. Displays Text2SQL output to inspect the SQL generated from natural-language questions. 10. Downloads charts for reporting, archiving, or further processing. 11. Selects large language models such as qwen3-max for semantic understanding and analysis generation. 12. Provides a smart chart mode that selects suitable visualizations from data characteristics. 13. Supports Enter to send questions and Shift+Enter for a new line. 14. Supports copying and deleting results.			/
10	Other	Online Docs	Provides more complete official docs, including deployment, operations, APIs, best practices, and more, with timely updates and a complete structure.			/
		Source Code Updates	Provides a stable version update channel with upgrade guidance, patch notes, long-term maintenance compatibility, and security.			/

Here, (✅) means included, (🟡) means partially included, and (❌) means not included.

We will keep this table updated. At the same time, we are listening to every community partner. If there is a feature you need but do not see listed, do not hesitate to tell us. The qData team believes that good products are built together. Click here to submit a request online