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

⇱ Visualize Elasticsearch Data in TIBCO Spotfire through ADO.NET

Visualize Elasticsearch Data in TIBCO Spotfire through ADO.NET

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Integrate Elasticsearch data into dashboards in TIBCO Spotfire.

TIBCO Spotfire is a data visualization and business intelligence software developed by TIBCO Software Inc. It allows users to connect, visualize, and share insights from various data sources in real-time. Spotfire provides interactive dashboards, data analytics, and predictive analytics capabilities, enabling users to explore data, uncover trends, and make data-driven decisions. It is commonly used in businesses and organizations to analyze large datasets, gain valuable insights, and improve decision-making processes. Learn more at https://www.tibco.com/analytics.

In this article, we will guide you through the process of utilizing the CData ADO.NET Provider for Elasticsearch within TIBCO Spotfire. You will learn how to establish a connection and build a basic dashboard.

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


  1. Add the CData ADO.NET data source by clicking Add Data Tables.
  2. Click Add -> Database.
  3. Select the provider and click Configure.
  4. Define the connection settings. Below is a typical connection string:

    Server=127.0.0.1;Port=9200;User=admin;Password=123456;

    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 connection, 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.

    👁 Connection properties in the Configure Data Source Connection dialog. (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 apply a filter: After clicking 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 Data Provider to get started:

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Learn more:

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Elasticsearch ADO.NET Provider

Rapidly create and deploy powerful .NET applications that integrate with Elasticsearch.