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Create dynamic dashboards and perform analytics based on Elasticsearch data in Dundas BI.
The CData ODBC Driver for Elasticsearch enables access to live data from Elasticsearch under the ODBC standard, allowing you work with Elasticsearch data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to Elasticsearch data as a generic ODBC Data Provider and create charts, reports, and dashboards based on Elasticsearch data in Dundas BI.
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
Connect to Elasticsearch Data
- If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the built-in Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
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.
- Open the Dundas BI interface, open the menu, and click New Data Connector.
- Configure the Dundas BI Data Connector:
- Name the Data Connector.
- Select "ODBC generic" as the Data Provider.
- Check the "Use System DSN" checkbox.
- Select the appropriate System DSN.
Add Elasticsearch Data to a Dashboard
You are now ready to create a dashboard with Elasticsearch data.
- Navigate to the Home page.
- Click Explore Data.
- Expand the appropriate Data Connector.
- Drag the relevant data from the Connector to the panel.
- You can select an entire "table" to add, but you may need to remove Measures/Rows from the Metric Set to build an appropriate visualization. Alternatively, you can select only the fields you wish to include in the visualization.
- With the fields selected, you can add any filters or conditions on the Measures and Rows, further customizing the visualization.
- Click Re-visualize from the menu bar and select the appropriate visualization for the data.
- Click Add To New Dashboard to add the visualization to a new dashboard.
- Configure the dashboard, creating dynamic visualizations of Elasticsearch data.



