Visualize Elasticsearch Data in Sisense



Create an ElastiCube in Sisense app with access to Elasticsearch data.

Sisense lets you join, analyze, and picture data to make more intelligent business decisions and craft effective strategies. The CData JDBC Driver for Elasticsearch makes it easy to integrate with Elasticsearch data in Sisense. This article shows how to create an ElastiCube that connects to Elasticsearch data and use the ElastiCube to visualize Elasticsearch data in Sisense.

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


Configure the Connection to Elasticsearch

Before creating the ElastiCube, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for Elasticsearch 20XX\lib) or copy the jar file (cdata.jdbc.elasticsearch.Elasticsearch.jar) to a new folder in the Sisense JDBC driver directory (typically C:\ProgramData\Sisense\DataConnectors\jdbcdrivers).

  1. In the Data page of the Sisense application, create a new ElastiCube (or open an existing one).
  2. In the Model Editor, click "+ Data" to open the Add Data dialog box.
  3. Click Generic JDBC to open the JDBC settings.
  4. Set the connection string property to the JDBC URL for Elasticsearch, adding required properties.

    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.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the Elasticsearch JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.elasticsearch.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    When you configure the JDBC URL, 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.

    A typical example follows:

    jdbc:elasticsearch:Server=127.0.0.1;Port=9200;User=admin;Password=123456;
  5. Set the JDBC JARs folder property to the location of the CData JDBC Driver JAR file (see above).
  6. Set the driver's class name to the class name for the JDBC Driver: cdata.jdbc.elasticsearch.ElasticsearchDriver
  7. Leave the username and password properties blank.
  8. Click Next.

Add Elasticsearch Data to an ElastiCube

Once you are connected to Elasticsearch, you can add tables and views to your ElastiCubes.

  1. From the Tables list, select the tables and/or views you wish to work with.
  2. (Optional) Click "+" to customize the data you want to import with SQL.
  3. Click Done.
  4. Click Build to build the ElastiCube for analytics.

Visualize Elasticsearch Data

With Elasticsearch tables added to your ElastiCube, you can perform analytics on your Elasticsearch data.

  1. Navigate to the Analytics page of the Sisense application
  2. Select a Dashboard (or create a new one)
  3. Select your Data Source and click Create
  4. Click "+ Select Data" and choose fields to add to your visualization.

With the CData JDBC Driver for Elasticsearch, you can access Elasticsearch data right in Sisense for powerful visualization and analytics. Download a free, 30-day trial and start working with Elasticsearch data in Sisense today!

Ready to get started?

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