VantageCloud Lake supports the following applications. A list of unsupported functions is also provided.
QueryGrid
QueryGrid on VantageCloud Lake supports the following connectivity types:
| VantageCloud Lake on AWS | |
|---|---|
| Connects to | With connector |
| VantageCloud Enterprise on AWS* | Teradata-to-Teradata *A PrivateLink endpoint is required to setup and configure VantageCloud Enterprise on AWS. Open a change request on https://support.teradata.com with the following information in the request details:
|
| VantageCore (on-premises) | Teradata-to-Teradata |
| Amazon EMR |
|
| Other JDBC-compatible query engines (such as Amazon Redshift) | Generic JDBC Refer to the Teradata® QueryGrid™ Installation and User Guide for driver node requirements.
|
| Cloudera Data Platform (CDP) |
|
| VantageCloud Lake on Azure | |
|---|---|
| Connects to | With connector |
| VantageCloud Enterprise on Azure* | Teradata-to-Teradata *A Private Link endpoint is required to setup and configure VantageCloud Enterprise on Azure. Open a change request on https://support.teradata.com with the following information in the request details:
|
| VantageCore (on-premises) | Teradata-to-Teradata |
| Azure HDInsight |
|
| Other JDBC-compatible query engines (such as Amazon Redshift) | Generic JDBC Refer to the Teradata® QueryGrid™ Installation and User Guide for driver node requirements.
|
| Cloudera Data Platform (CDP) |
|
- These connections are configurable through self-service and do not require a Teradata consulting engagement.
- VantageCloud Lake on AWS supports bi-directional query initiation with VantageCloud Enterprise on AWS and VantageCore (on-premises) using the Teradata-to-Teradata connector.
- VantageCloud Lake on Azure supports bi-directional query initiation with VantageCloud Enterprise on Azure and VantageCore (on-premises) using the Teradata-to-Teradata connector.
Backup and Restore (BAR)
- Only full system backup and restore are supported. For primary clusters data, Teradata uses backup and restore runbooks. For objects in an Object File System, Teradata relies on native Amazon S3 resiliency for data protection.
- Teradata Managed Services manually performs backup and restore operations using runbooks.
Advanced Analytics
The following capabilities are supported:
- SQL Engine (SQL-MR) data cleaning and preparation functions
- Python Client Library (teradataml): Limited functions available. See Teradata Package for Python Function Reference on VantageCloud Lake and Teradata Package for Python on VantageCloud Lake.
- R Client Library (tdplyr): Limited functions available. See Teradata Package for R Function Reference and Teradata Package for R User Guide.
- Vantage Analytics Library (VAL): Vantage Analytics Library.
- Bring Your Own Model (BYOM)
- Bring Your Own Viewpoint (BYOVP)
- Data Mover
Data Mover enables you to define and edit jobs that copy specified database objects, such as tables, users, views, macros, stored procedures, and statistics, from one Vantage system to another Vantage system.
- UDFs
- Vantage Analyst
VantageCloud Lake also supports Vantage modules for Jupyter that include Teradata SQL Extension for Jupyter - SQL kernel, Navigator, and Connection Manager to explore, manage connections, and run queries on Teradata Vantage. For more information, see https://teradata.github.io/jupyterextensions/
Unsupported Capabilities
The following capabilities are not supported:
- Script Table Operator Python, R
- ExecR Operator
- AWS SageMaker API
VantageCloud Lake does not support the following:
- Mainframes
- Query Service