Data source considerations (Data Virtualization)
Data Virtualization supports many relational and non-relational data sources. Connecting Data Virtualization to data sources entails data type mapping.
The following table describes considerations and restrictions for data type mapping in Data Virtualization.
| Data sources | Considerations |
|---|---|
| Db2® on Cloud | The nchar and nvarchar types are not supported in Data Virtualization as a service. |
| Google BigQuery |
|
| Hive |
|
| Informix® |
|
| MongoDB |
|
| Netezza® |
|
| Oracle |
|
| SAP HANA | To configure pushdown of varchar predicates to SAP HANA the following steps must be applied:
Note: You must ensure that there are no trailing blanks in the varchar
data and that the collating sequence in Data Virtualization is the same as on the remote SAP HANA data
source.
|
| SAP OData | You cannot preview or query non-readable tables due to the following reasons:
|
| SQL server |
|
| Teradata |
|