Histogram Floating Point Values
This applies to: Visual Data Discovery
Many connectors support the calculations necessary for histogram visuals with non-integer values, such as floating point (32-bit) and double-precision (64-bit) floating point data types.
Support for this feature by connector is shown in the following table.
Key:Y - Supported; N - Not Supported; N/A - not applicable
| Connector | Supported? |
|---|---|
| Amazon Redshift | Y |
| Amazon S3 | Y |
| Apache Drill | Y |
| Apache Phoenix | Y |
| Apache Phoenix Query Server (QS) | Y |
| Apache Solr | N |
| BigQuery | Y |
| Cloudera Impala | Y |
| Cloudera Search | N |
| Couchbase | Y |
| Dremio | Y |
| Elasticsearch 7.0 | Y |
| Elasticsearch 8.0 | Y |
| File Upload | Y |
| HDFS | Y |
| Hive | Y |
| Jira | Y |
| MemSQL | Y |
| Microsoft SQL Server | Y |
| MongoDB | Y |
| MySQL | Y |
| Oracle | Y |
| PostgreSQL | Y |
| Python | Y |
| Real Time Sales | Y |
| Salesforce | Y |
| SAP Hana | Y |
| SAP IQ | Y |
| Spark SQL | Y |
| Snowflake | Y |
| Teradata | Y |
| TIBCO DV | Y |
| Trino | Y |
| File Upload (Upload API) | Y |
| Vertica | Y |