Supported Data Fields
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In this page, you will find the complete list of Data Fields supported for each Data Source.
crystal Attribute Type List
First of all, let's recap the Data Field supported by Crystal.
Type | Notes |
---|---|
Categorical | Used mainly for filter dimensions. crystal will not perform calculation (e.g. Sum or average) on these formats. |
Numeric | Used mainly for main entities that need aggregations and numerical filters. |
Date & Time | Used for time dimension (filter entity). If not formatted accordingly, crystal will not be able to show data with a time perspective. |
Boolean | Used for entities that can assume binary values |
Now, let's deep dive into each Data Source!
PostgreSQL
Type | Format |
---|---|
Categorical |
|
Numeric |
|
Date & Time |
|
Boolean |
|
MySQL
Type | Format |
---|---|
Categorical |
|
Numeric |
|
Date & Time |
|
Boolean |
|
Microsoft SQL Server
Type | Format |
---|---|
Categorical |
|
Numeric |
|
Date & Time |
|
Boolean |
|
Oracle
Type | Format |
---|---|
Categorical |
|
Numeric |
|
Date & Time |
|
Boolean |
|
IBM DB2
Type | Format |
---|---|
Categorical |
|
Numeric |
|
Date & Time |
|
Boolean |
|
Amazon Redshift
Type | Format |
---|---|
Categorical |
|
Numeric |
|
Date & Time |
|
Boolean |
|
SAP Hana
Type | Format |
---|---|
Categorical |
|
Numeric |
|
Date & Time |
|
Boolean |
|
Azure Synapse
Type | Format |
---|---|
Categorical |
|
Numeric |
|
Date & Time |
|
Boolean |
|
MongoDB
Type | Format |
---|---|
Categorical |
|
Numeric |
|
Date & Time |
|
Boolean |
|
Google BigQuery
Type | Format |
---|---|
Categorical |
|
Numeric |
|
Date & Time |
|
Boolean |
|
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