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Try them now for free →Connect Elasticsearch Data to Claris FileMaker via ESS using an ODBC Driver and the CData SQL Gateway
Connect to your Elasticsearch data using the ESS feature of Claris FileMaker with MySQL ODBC driver and CData SQL Gateway.
Claris FileMaker is a low-code platform that enables users to quickly create custom apps to manage and automate data workflows. Using the CData ODBC Driver for Elasticsearch and the CData SQL Gateway, FileMaker connects to Elasticsearch data through its ESS (External SQL Source) feature, allowing you to work with Elasticsearch records as if they were native FileMaker tables.
In this article, we configure and use the CData ODBC Driver for Elasticsearch and the CData SQL Gateway, along with the MySQL ODBC Driver, to connect to Elasticsearch data using the ESS functionality in FileMaker.
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
Create an ODBC Data Source for Elasticsearch
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
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.
Configuring the CData SQL Gateway
The CData SQL Gateway bridges non-SQL data sources (like SaaS applications, APIs, and NoSQL databases) with SQL-based tools (like FileMaker, MySQL clients, and BI tools).
In simple terms, it exposes any CData driver-supported source - for example, Elasticsearch - as a standard MySQL or SQL Server endpoint.
See the SQL Gateway Overview to set up Elasticsearch data connectivity as a virtual MySQL database. Set up a MySQL remoting service that listens for MySQL requests from clients, and configure the service through the SQL Gateway UI (as shown below). Save the user credentials (Username and Password) for future use.


Once you establish the connection, you can use the CData SQL Gateway to access Elasticsearch data through the MySQL protocol.
Installing the MySQL ODBC Driver
Follow the steps below to install and configure the MySQL ODBC Driver:
- Download and install the latest 64-bit Windows version of the MySQL ODBC Unicode Driver from this link.
- Launch ODBC Data Sources (64-bit) from Windows search. Open the System DSN tab, click Add, select MySQL ODBC Unicode Driver from the Create New Data Source window, and click Finish.
- Enter the following connection details in the MySQL Connector/ODBC Data Source Configuration window:
- Data Source Name: Enter a DSN of your choice
- TCP/IP Server: localhost
- Port: Enter the port set in the SQL Gateway (for this procedure, use "3307")
- User: Enter the username set in the CData SQL Gateway
- Password: Enter the password set in the CData SQL Gateway
- Database: CData Elasticsearch Sys
- Click Test to verify that the "Connection Successful" dialog box appears. Then click OK to save the configuration details.

You have now successfully configured the MySQL ODBC Driver.
Use FileMaker ESS function to load Elasticsearch data
In this section, we explore how to use the ESS (External SQL Source) feature to retrieve data in the FileMaker application. Follow the given steps to complete the process:
- Open FileMaker Pro. Navigate to Create from the left panel and select Blank > Create.
- Enter a desired filename and click Save.
- In Manage Database, remove the Tables and Fields from the respective tabs. Select the Relationships tab and click Add Table.
- In Specify Table, expand the Data Source dropdown menu and select Add ODBC Data Source. Click OK.
- In Select ODBC Data Source, select the previously configured MySQL ODBC driver and click Continue.
- In the Edit Data Source window, enter the following details:
- Name: This field will be auto-filled. Enter a new name of choice if necessary.
- Type: Select "ODBC".
- Under Authentication, select the Specify username and password radio button and enter the following details:
- User name: Enter the username set in the CData SQL Gateway.
- Password: Enter the password set in the CData SQL Gateway.
- Catalog Name: CData Elasticsearch Sys
- Click OK.
- View the tables from Elasticsearch populated under the Data Source section. Select the table of your choice and click OK.
- The Relationships tab now displays the selected table and its metadata. Click OK.
- Select the table from the Layout dropdown. The Elasticsearch table data appears on the screen. (As shown)








Get Started Today
Download a free 30-day trial of CData ODBC Driver for Elasticsearch to integrate Elasticsearch data into Claris FileMaker and use Elasticsearch data in your FileMaker applications.
Contact our Support Team if you have any questions.