Custom Connections

You can setup custom connections via Import/Custom Connections (β). To manage KPIs and Dimensions of a custom connection it’s necessary to activate the custom connection on the client before navigating to Manage/KPIs and Dimensions. You can do this by clicking on “Activate” in the custom connection overview list. In explore you have furthermore the possibility to switch between the available custom connection of the current client.

CURRENTLY SUPPORTED

• Amazon Redshift
• Amazon Aurora
• Druid
• Google BigQuery
• Microsoft Azure SQL Data Warehouse
• Microsoft SQL Server
• PostgreSQL
• Snowflake

AVAILABLE ON DEMAND 

(Sync with Tom before confirming)

• Apache Spark 1.5+
• Apache Spark 2.0
• Aster Data
• Clustrix
• Exasol
• Google Cloud PostgreSQL
• MariaDB
• Microsoft Azure SQL Database
• Microsoft SQL Server 2005
• MySQL
• Oracle
• PrestoDB
• Qubole Presto v0.157+
• SAP HANA
• Snowflake
• Teradata
• Vertica 7.1+
• Amazon Athena
• Apache Hive2
• Cloudera Impala
• DataVirtuality
• Denodo
• Google Cloud SQL
• Greenplum
• IBM DashDB
• IBM DB2
• IBM Netezza
• MemSQL
• Oracle DWCS
• Qubole Presto v0.142
• Vectorwise
• Vertica 6
• XtremeData

To be added:

• What is custom connection?
• How to create a new custom connection?
• Column mapping (Calculated KPI , Fraction digits, type)
• Where is it in Explore? ( No adverity native and custom connection in the same table)