DataVirtuality

To use Looker with DataVirtuality, you will need to configure a DataVirtuality driver. These instructions describe that process, assuming use of a startup script similar to the examples provided on the looker-open-source GitHub page.

You will need to acquire a DataVirtuality driver JAR, include it as part of the startup process, and add an option to tell Looker to access it.

Encrypting network traffic

It is a best practice to encrypt network traffic between the Looker application and your database. Consider one of the options described on the Enabling secure database access documentation page.

Installing the DataVirtuality JDBC driver

Follow the steps on the Unpackaged JDBC drivers documentation page using the following values:

driver symbol: datavirtuality

driver entry:

- name: datavirtuality
  dir_name: datavirtuality
  module_path: com.datavirtuality.dv.jdbc.Driver

Creating the Looker connection to your database

Follow these steps to create the connection from Looker to your database:

  1. In the Admin section of Looker, select Connections, and then click Add Connection.
  2. Select DataVirtuality from the Dialect drop-down menu.

  3. Fill out the connection details. The majority of the settings are common to most database dialects. See the Connecting Looker to your database documentation page for information.

  4. To verify that the connection is successful, click Test. See the Testing database connectivity documentation page for troubleshooting information.

  5. To save these settings, click Connect.

Feature support

For Looker to support some features, your database dialect must also support them.

DataVirtuality supports the following features as of Looker 25.10:

Feature Supported?
Support level Supported
Looker (Google Cloud core)
Symmetric aggregates
Derived tables
Persistent SQL derived tables
Persistent native derived tables
Stable views
Query killing
SQL-based pivots
Timezones
SSL
Subtotals
JDBC additional params
Case sensitive
Location type
List type
Percentile
Distinct percentile
SQL Runner Show Processes
SQL Runner Describe Table
SQL Runner Show Indexes
SQL Runner Select 10
SQL Runner Count
SQL Explain
OAuth 2.0 credentials
Context comments
Connection pooling
HLL sketches
Aggregate awareness
Incremental PDTs
Milliseconds
Microseconds
Materialized views
Period-over-period measures
Approximate count distinct