Visualize Live Elasticsearch Data in Tableau

Tableau is a visual analytics platform transforming the way businesses use data to solve problems. When paired with the CData Tableau Connector for Elasticsearch, you can easily get access to live Elasticsearch data within Tableau. This article shows how to connect to Elasticsearch in Tableau and build a simple chart.

The CData Tableau Connectors enable high-speed access to live Elasticsearch data in Tableau. Once you install the connector, you simply authenticate with Elasticsearch and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing Elasticsearch data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData Tableau Connectors grant seamless access to Elasticsearch data.

NOTE: The CData Tableau Connectors require Tableau 2020.3 or higher. If you are using an older version of Tableau, you will need to use the CData Tableau Connector for Elasticsearch. If you wish to connect to Elasticsearch data in Tableau Cloud, you will need to use CData Connect Cloud.

Getting Started

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Connect to Elasticsearch in Tableau

Open Tableau and click More under Connect -> To a Server. Select "Elasticsearch by CData," then configure the connection and click "Sign In."

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.

Discover Schemas and Query Data

1. Select CData from the Database pull-down menu.
2. Select Elasticsearch from the Schema pull-down menu.
3. Drag the tables and views you wish to visualize onto the join area. You can include multiple tables.
4. Select Update Now or Automatically Update. Update Now lets you preview the first 10,000 rows of the data source (or enter the number of rows you want to see in the Rows text box). Automatically Update automatically reflects the changes in the preview area.
5. Click the tab for your worksheet. Columns are listed as Dimensions and Measures, depending on the data type. The CData Tableau Connector discovers data types automatically, allowing you to leverage the powerful data processing and visualization features of Tableau.
6. Drag a field from the Dimensions or Measures area to Rows or Columns. Tableau creates column or row headers.
7. Select one of the chart types from the Show Me tab. Tableau displays the chart type that you selected.

Using the CData Tableau Connector for Elasticsearch with Tableau, you can easily create robust visualizations and reports on Elasticsearch data. Download a free, 30-day trial and get started today.