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URL: https://www.cdata.com/kb/tech/elasticsearch-odbc-spotfire.rst

⇱ Visualize Elasticsearch Data in TIBCO Spotfire through ODBC

Visualize Elasticsearch Data in TIBCO Spotfire through ODBC

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
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.

About Elasticsearch Data Integration

Accessing and integrating live data from Elasticsearch has never been easier with CData. Customers rely on CData connectivity to:

  • Access both the SQL endpoints and REST endpoints, optimizing connectivity and offering more options when it comes to reading and writing Elasticsearch data.
  • Connect to virtually every Elasticsearch instance starting with v2.2 and Open Source Elasticsearch subscriptions.
  • Always receive a relevance score for the query results without explicitly requiring the SCORE() function, simplifying access from 3rd party tools and easily seeing how the query results rank in text relevance.
  • Search through multiple indices, relying on Elasticsearch to manage and process the query and results instead of the client machine.

Users frequently integrate Elasticsearch data with analytics tools such as Crystal Reports, Power BI, and Excel, and leverage our tools to enable a single, federated access layer to all of their data sources, including Elasticsearch.

For more information on CData's Elasticsearch solutions, check out our Knowledge Base article: CData Elasticsearch Driver Features & Differentiators.


Getting Started


Create Visualizations of Elasticsearch Tables

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

  1. Click Data -> Add Data ...
  2. Click Other -> Load data with ODBC, OLE DB, or ADO.NET data provider.
  3. In the Data Source Type menu, select ODBC Data Provider and click Configure.
  4. Select the DSN. 👁 The DSN to connect to in the Add Data Tables wizard. (Salesforce is shown.)
  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. 👁 Tables and columns selected in the tree or specified by an SQL query. (Salesforce is shown.)
  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.👁 Recommended visualizations for the imported data table. (Salesforce is shown.)

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.

👁 A simple dashboard with a global filter. (Salesforce is shown.)

Ready to get started?

Download a free trial of the Elasticsearch ODBC Driver to get started:

 Download Now

Learn more:

👁 Elasticsearch Icon
Elasticsearch ODBC Driver

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.