Create Elasticsearch-Connected Dashboards in Grafana


Connect to Elasticsearch Data via CData Connect Cloud in Grafana and create custom business dashboards with real-time access to Elasticsearch data.

Grafana is an open-source platform that allows users to analyze, monitor, and visualize telemetry from various data sources. When combined with CData Connect Cloud, you gain immediate access to Elasticsearch data for business dashboards. This article outlines the process of connecting to Elasticsearch using Connect Cloud and creating a basic dashboard from Elasticsearch data within Grafana.

CData Connect Cloud offers a pure SQL Server, cloud-to-cloud interface for Elasticsearch, enabling the creation of dashboards directly from live Elasticsearch data within Grafana, all without the need for data replication to a native database. As you build visualizations, Grafana generates SQL queries to gather data. With its inherent optimized data processing capabilities, CData Connect Cloud efficiently channels all supported SQL operations, including filters and JOINs, directly to Elasticsearch. This leverages server-side processing to swiftly deliver the requested Elasticsearch data.

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 Elasticsearch Connectivity for Grafana

Connectivity to Elasticsearch from Grafana is made possible through CData Connect Cloud. To work with Elasticsearch data from Grafana, we start by creating and configuring a Elasticsearch connection.

  1. Log into Connect Cloud, click Sources, and then click Add Connection
  2. Select "Elasticsearch" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to Elasticsearch.

    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.

  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add Elasticsearch Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect Cloud through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect Cloud. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect Cloud app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create.
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Elasticsearch data from Grafana.

Visualize Live Elasticsearch Data in Grafana

To establish a connection from Grafana to the CData Connect Cloud Virtual SQL Server API, follow these steps.

  1. If you have not already done so, download and install Grafana for your operating system from the Grafana Website. Once installed, access Grafana at http://localhost:3000/.
  2. Log in to Grafana with your username and password for Grafana. If this is your first time logging in, the username is admin and the password is admin.
  3. On the navigation menu, click Connections > Add new connection. On this page, you can search for Microsoft SQL Server and select it as your data source.
  4. Select Microsoft SQL Server and click Add new data source.
  5. Enter a name for the new data source and then enter the following connection settings:
    • Host: tds.cdata.com:14333
    • Database: enter the Connection Name of the CData Connect Cloud data source you want to connect to (for example, Elasticsearch1).
    • Username: enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected].
    • Password: enter the PAT you previously generated.
  6. Click Save & Test. A Database Connect OK message appears when you have a successful connection established.

Create a Dashboard

Once you create the data source for Elasticsearch, you can start building dashboards on Elasticsearch data. Start in the navigation menu and click Dashboards

  1. On the Dashboards page, click + Create dashboard, then click + Add visualization.
  2. This opens the Select data source window where you can select your created connection.
  3. After selecting your connection, you can choose the tables and columns that you want to query for your visualization. Then press Run Query to run the generated query.
  4. After running your query, the resulting data is populated above the query editor. Here you can select the visualization that you want to use to present your data on the dashboard panel.
  5. When you have finished editing your panel, you can click Save dashboard to save the changes made to your Dashboard.

To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect Cloud today!

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