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The Elasticsearch ODBC Driver is a powerful tool that allows you to connect with live Elasticsearch document databases, directly from any applications that support ODBC connectivity.

Access Elasticsearch like you would a database - read, write, and update through a standard ODBC Driver interface.

Visualize Elasticsearch Data in TIBCO Spotfire through ODBC



The ODBC standard has ubiquitous support and makes self-service business intelligence easy. Use the ODBC Driver to load Elasticsearch data into TIBCO Spotfire.

This article walks you through using the CData ODBC Driver for Elasticsearch in TIBCO Spotfire. You will use the data import wizard to connect to a DSN (data source name) for Salesforce and build on the sample visualizations to create a simple dashboard.

Connect to Elasticsearch as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Set the Server and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.

The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.

Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Create Visualizations of Elasticsearch Tables

Follow the steps below to connect to the DSN and create real-time data visualizations:

  1. Click File -> Add Data Tables.
  2. Click Add -> Database.
  3. In the Data Source Type menu, select ODBC Provider and click Configure.
  4. Select the DSN.
  5. Select the tables that you want to add to the dashboard. This example uses Orders. You can also specify an SQL query. The driver supports the standard SQL syntax.
  6. If you want to work with the live data, click the Keep Data Table External option. This option enables your dashboards to reflect changes to the data in real time.

    If you want to load the data into memory and process the data locally, click the Import Data Table option. This option is better for offline use or if a slow network connection is making your dashboard less interactive.

  7. After adding tables, the Recommended Visualizations wizard is displayed. When you select a table, Spotfire uses the column data types to detect number, time, and category columns. This example uses Freight in the Numbers section and OrderName in the Categories section.

After adding several visualizations in the Recommended Visualizations wizard, you can make other modifications to the dashboard. For example, you can zoom in on high probability opportunities by applying a filter on the page. To add a filter, click the Filter button. The available filters for each query are displayed in the Filters pane.