NineData Community Edition
This article provides a detailed introduction to the NineData Community Edition, including its product positioning and a multi-dimensional comparison with the enterprise edition, helping you quickly understand the community edition.
What is NineData Community Edition?
NineData Community Edition is a permanently free, one-click installation data management solution launched by Jiuzhang Arithmetic, designed specifically for developers, startup teams, educational institutions, and individual users. It includes three core features of NineData: database DevOps, data replication, and database comparison.
Database DevOps: Database DevOps features powerful capabilities such as data source management, data querying, SQL standards, SQL review, and approval processes, helping users quickly complete various environmental data management tasks and supporting corporate digital transformation.
Data Replication: NineData data replication supports offline and real-time data replication between multiple homogeneous and heterogeneous data sources. It is suitable for various business scenarios such as data migration, database scaling, database version upgrades, disaster recovery, multi-active in different locations, and data integration for data warehouses and data lakes.
Database Comparison: NineData database comparison feature supports consistency comparison between two data sources, and in cases of inconsistency, it can automatically generate change SQL to achieve consistency in data and structure.
NineData Community Edition is a completely offline running localized deployment version, which does not require connection to any cloud services or access to the NineData website. All data and operations are 100% retained in your local environment. It is particularly suitable for intranet environments that cannot access the internet, perfectly matching small-scale enterprises, individual projects, or learning and testing scenarios.
In terms of deployment, NineData Community Edition is based on Docker technology, and users can complete the installation on their local computers with a simple command, allowing anyone to quickly complete the deployment.
Core Values
✅ Permanently Free, Efficient and Easy to Use
The community edition is free to use, with a 10-minute deployment and online operation throughout the process.
✅ Support for Cloud Virtual Machines or Local Deployment
It can be deployed in the cloud or on a local private network, meeting the data compliance requirements for sensitive business.
✅ Data Management is Safer and More Efficient
With 15 years of experience, the professional database DevOps solution makes R&D and DBA collaboration more efficient and data safer.
✅ High-Performance Real-Time Data Migration and Synchronization
Based on self-developed CDC technology, it professionally addresses database migration, synchronization, disaster recovery, and other business needs, supporting real-time data replication of tens of thousands of TPS per second.
Community Edition vs Enterprise Edition (formerly NineData Dedicated Cluster)
Comparison Dimension | Community Edition | Enterprise Edition |
---|---|---|
Core Positioning | Developers/Startup Teams/Individual Developers | Medium and Large Enterprises/Production Environment |
Deployment Method | Docker Single Machine Deployment | Docker Single Machine Deployment/Distributed Cluster |
Database DevOps | 10 data sources (functions consistent with the professional version) | Dynamic expansion according to license (unlimited) |
Data Replication | 10 tasks (including 2 incremental tasks) | Dynamic expansion according to license (unlimited) |
Data Comparison | Up to 10 tasks | No limit |
Deployment Complexity | ⭐⭐⭐⭐⭐ Single command deployment | ⭐⭐⭐⭐ Capable of scaling up and down, adding nodes, etc. |
Resource Consumption | Single Machine | Cluster (cross-room disaster recovery + multi-active in different locations) |
Technical Support | Documents + WeChat Group | 7x24 dedicated technical support + SLA service guarantee |
Cost | Permanently Free | Pay as you go |
NineData Community Edition vs. Mainstream Tools Full-Dimensional Comparison
- Database DevOps
- Data Replication
Comparison Items | NineData Community Edition | Archery | Yearning | Navicat | Flyway | Liquibase | |
---|---|---|---|---|---|---|---|
Basic Capabilities | Update Iteration Frequency | High (Continuous delivery, weekly iteration) | Medium (Quarterly updates, driven by the open-source community) | Medium (Irregular updates, dependent on community contributions) | Medium (Annual major versions, quarterly minor updates) | Medium (Regular feature enhancements, about once every half year) | Medium (Regular maintenance, quarterly updates) |
Deployment Mode | Docker Deployment | Docker Deployment | Docker Deployment | Desktop Application | CLI Integrated with Java | CLI Integrated with Java | |
Supported Data Sources | Domestic databases, data warehouses, multi-cloud databases (such as AWS, Alibaba Cloud, etc.), MySQL, PG, Oracle, SQL Server, Db2, etc. | MySQL, PG, Redis, etc. | MySQL, PG | MySQL, PG, Oracle, SQL Server, etc. | MySQL, PG, Oracle, and other mainstream databases | Mainstream databases (similar to Flyway) | |
Login Method | Account password/third-party login/SSO(LDAP) | Web account/LDAP/OAuth | Web account/LDAP | Local account/License | No (Command Line) | No (Command Line/Code) | |
SQL IDE | Supported Languages | Chinese and English | Primarily Chinese | Chinese | Multiple languages | English | English |
SQL Window | Supported (Strong) | Supported | Supported | Supported (Strong) | X | X | |
Object Visual Management | Supported | Partial support (table structure) | Limited | Supported (Graphical) | X | X | |
Query Result Set Operations | Export, Edit | Export, Edit | Export | Export, Edit, Charts | X | X | |
Session Isolation | Supported | Supported | Supported | Supported | X | X | |
SQL Review and Release | SQL Change Release | Work Order + Automated Process | Work Order Approval + Execution | Work Order Approval | Direct Execution | Direct Execution of Migration Scripts | Direct Execution of Scripts |
Change Automatic Backup | Supported | Supported | Supported | Manual Backup | X | X | |
Approval Process | Multi-level approval, can be connected to external approval processes | Multi-level approval | Simple approval | X | X | X | |
Online DDL | Natively Supported | Dependent on tools such as PT-OSC | Dependent on external tools | X | X | X | |
Online DML | Supported | X | X | X | X | X | |
Built-in SQL Standards | 200+ built-in rules for various database types / custom | Some rules for MySQL | Some rules for MySQL | X | X | X | |
Mobile Approval | Supported | X | X | X | X | X | |
Release Process Orchestration | Supported | X | X | X | X | X | |
SQL Code Review | Strong (Automated Review) | Average (Custom Rules) | Average (Built-in Rules) | X | X | X | |
Data Security | Sensitive Data Protection | Intelligent data classification and grading, complete data anonymization + encryption | Support manual settings, but can be easily bypassed | Support manual settings, but can be easily bypassed | X | X | X |
Permission Authorization Mode | RBAC + ABAC, administrator authorization + active application | RBAC, administrator authorization + active application | RBAC, administrator authorization | X | X | X | |
Permission Model | Fine-grained permissions (database/table/sensitive column/module/operation) | Project-level isolation | User-level permissions | Local permissions | X | X | |
Operation Audit | Full-link audit | Complete logs | Basic logs | X | X | X | |
Advanced Data Processing | Data Import | Multi-format import, syntax-level controllable | Support for CSV/SQL | Support for CSV | Multiple formats (Excel, CSV, etc.) | Through migration scripts | Through scripts |
Data Export | Multi-format export, file encryption, watermark protection | Support for CSV | Support for CSV | Multiple formats export | X | X | |
Data Archiving and Cleaning | Automatic archiving (MySQL, PG) | Manual (MySQL) | X | Manual | X | X | |
Data Tracking and Rollback | Automatic parsing of Binlog to generate in reverse | X | X | X | X | X | |
Data Generation | Supported, simulation template customization | X | X | Support for test data generation | X | X | |
Performance Diagnosis | Slow SQL Performance Analysis | In-depth analysis + optimization suggestions (MySQL, PG, Oracle, Db2) | Support (MySQL) | Basic analysis | X | X | |
Session Management | View/Kill sessions | View/Kill sessions | View sessions | View/Kill sessions | X | X |
Comparison Items | NineData | Canal | DataX | FlinkCDC | |
---|---|---|---|---|---|
Basic Functions | Types of Supported Data Sources | 60+ | 1 | 30 | 10+ |
Visual Data Source Configuration Management | Supported | X | X | X | |
User Management | Supported | X | X | X | |
Permission Management | Supported | X | X | X | |
Core Functions | Table Structure Migration | Supported | X | X | X |
Non-table Object Migration | Supported | X | X | X | |
Full Data Migration | Supported | Partially supported, large tables may not be successfully migrated | Supported | Supported | |
Incremental Data Synchronization (DML) | Supported | Supported | X | Supported | |
Incremental Structure Synchronization (DDL) | Supported | X | X | Only supports ADD Column | |
Data Filtering | Supported | Supported | Supported | Supported | |
Object Name Mapping | Supported | Supported | Supported | Supported | |
Data Transformation Processing | Supported | X | Supported | Supported | |
Structure Comparison | Supported | X | X | X | |
Full Data Comparison | Supported | X | X | X | |
Incremental Data Comparison | Supported | X | X | X | |
Modify Synchronization Objects | Supported | X | X | X | |
Visual Task Configuration and Management | Supported | X | X | Basic support | |
Task Management | Task High Availability and Automatic Disaster Recovery (task level, server level) | Supported | X | X | Supported |
Task Pause and Resume | Supported | Supported | Supported | Supported | |
Task Throttling | Supported | X | X | X | |
Alerts | Supported | X | X | X | |
Visual Monitoring | Supported | X | X | X | |
Data SQL Query Window | Supported | X | X | X |
Deployment Method
Prerequisites
- Docker is installed on the server.
- The server architecture is Intel x86_64, with a minimum specification of 4-core CPU, 16 GB RAM, and 200 GB disk space.
Operation Steps
Log in to the command line window of the server and execute the following command:
docker run -p 9999:9999 --privileged -v /opt/ninedata:/u01 --name ninedata -d swr.cn-east-3.myhuaweicloud.com/ninedata/ninedata:latest
Parameter Description
-p 9999:9999
: NineData provides services through port 9999, and this parameter maps the container's 9999 port to the server to ensure that the client browser can directly access the NineData service.--privileged
: Grants the container system permissions to run and access.-v /opt/ninedata:/u01
: Mounts the server's/opt/ninedata
directory to the container's/u01
directory for data storage.--name ninedata
: Sets the container name to ninedata, which can be changed to any other container name.-d swr.cn-east-3.myhuaweicloud.com/ninedata/ninedata:latest
: The image address of NineData, used to pull the NineData image file.
tipNineData provides multi-regional image downloads, and you can choose the nearest one to replace the image address behind the
-d
in the command above for faster download speeds.North China - Beijing: swr.cn-north-4.myhuaweicloud.com/ninedata/ninedata:latest
East China - Shanghai: swr.cn-east-3.myhuaweicloud.com/ninedata/ninedata:latest
South China - Guangzhou: swr.cn-south-1.myhuaweicloud.com/ninedata/ninedata:latest
Official NineData Docker Hub address: ninedata/ninedata:latest
After the container starts, NineData services will automatically deploy and initialize the services within the container, which is expected to take about 5 to 10 minutes. You can check the initialization progress with the command
docker logs -f ninedata
, and wait for the following prompt to appear on the screen, indicating that the NineData service has started successfully.tipIf you specified a different container name in step 1, you need to replace
ninedata
in the above command with your actual container name.Enter the connection address of NineData in the browser to open the login page of the NineData console. The default port number for NineData services is
9999
, and the initial administrator account and password are bothadmin
. After the first login, the page will pop up a password change window, please change the administrator password immediately.
Frequently Asked Questions
Q: Why can't I select the desired data source when creating a replication task?
- Reason: The Community Edition currently only supports three replication pipelines:
- MySQL → MySQL
- PostgreSQL → PostgreSQL
- MySQL → Doris Additional pipelines will be rolled out in future updates.
- Reason: The Community Edition currently only supports three replication pipelines:
Q: The browser suddenly cannot open the Community Edition NineData console and displays a 504 error. What is the reason?
- Possible cause: This may be due to insufficient server disk space.
- Solution: Appropriately expand the disk space and execute
docker restart <container ID>
. Wait approximately 10 minutes for the restart to complete.
Q: After executing
docker logs -f ninedata
, the screen displays the messageYou can view detailed logs in the /u01/server.log
, then freezes. What is the reason?- Possible cause: This deployment might not be the first attempt. Residual files from a previous deployment may exist in the directory storing NineData files, such as the
/opt/ninedata
directory. - Solution: Clean up the previous deployment directory and re-execute the deployment steps according to this documentation.
- Possible cause: This deployment might not be the first attempt. Residual files from a previous deployment may exist in the directory storing NineData files, such as the
Q: The NineData container fails to start. The
server.log
shows the error"Failed to start ContainerManager" err="cannot enter cgroupv2 \"/sys/fs/cgroup/kubepods\" with domain controllers -- it is in an invalid state"
. What is the reason?Possible cause: Newer Linux distributions enable CGroup v2 by default. If Docker attempts to create a child CGroup, it will trigger an
invalid state
error, causing the container to fail to start.Solution: Add the
--cgroupns=host
parameter to theDocker run
command to share the host’s CGroup namespace. For example:docker run --cgroupns=host -p 9999:9999 --privileged -v /opt/ninedata:/u01 --name ninedata -d swr.cn-east-3.myhuaweicloud.com/ninedata/ninedata:latest
Q: Why does the NineData container fail to start with the error
"kube-proxy exited: iptables is not available on this host"
inserver.log
?Possible Cause: Permission or container configuration issues. The container might not be running in privileged mode or lacks access to the host's
/lib/modules
directory, preventing it from managing iptables rules.Solution: Run the container in privileged mode and grant
NET_ADMIN
capability. Example command:docker run --cap-add NET_ADMIN --privileged -v /opt/ninedata:/u01 --name ninedata -d swr.cn-east-3.myhuaweicloud.com/ninedata/ninedata:latest