System Requirements
The server on which you install Team Studio must meet these minimum requirements.
The following hardware, software, operating systems, third-party tools, and browsers have been tested with this version of Team Studio. For information about supported data sources, see "Operator Compatibility" in TIBCO® Data Science Team Studio User's Guide.
Note: Some data sources have been deprecated and will no longer be supported after version 6.5. For a list of supported operators, see
Supported Database Platforms and
Supported Hadoop Platforms. For a list of deprecated operators, see
TIBCO® Data Science Team Studio Release Notes.
- For more information about using Jupyter Notebooks for Team Studio, see Jupyter Notebook Requirements.
- To use the R Execute operator, you must have R Server installed on a separate computer. See R Execute Prerequisites for more information.
Item | Requirements |
---|---|
Dedicated server | |
Redundant power | |
Hard disk space | Disk space storage requirements (approximately 500 GB total, using RAID 1 mirroring) |
Processor | |
RAM |
Tested operating system | Tested versions1 |
---|---|
Red Hat Enterprise | 6.2 - 7.9 (64-bit) |
CentOS | 6.2, 6.5, 7.0, 7.6 (64-bit) |
Installed on the server | Notes |
---|---|
Oracle Java 1.8 (JVM 64-bit) - See the Oracle download page. |
This JDK is used by chorus user, not all users. |
Bash Unix Shell | If you want to use another shell, contact technical support. |
- Supported Database Platforms
You can use any of the following database platforms in Team Studio. Deprecated versions of databases will be removed from support in a future version of Team Studio. - Supported Hadoop Platforms
You can use any of these Hadoop platforms with Team Studio.
1 For example, at the command prompt, type
cat /etc/redhat-release to check that the server meets the requirements.
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