Elasticsearch Drivers & Connectors
for Data Integration

Connect to live Elasticsearch services from BI, analytics, and reporting tools through bi-directional data drivers. Easily integrate Elasticsearch data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.

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BI & Analytics

Our drivers offer the fastest and easiest way to connect real-time Elasticsearch data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to Elasticsearch data and metadata, and seamlessly integrate with your favorite analytics tools.

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations

Alteryx Designer: Prepare, Blend, and Analyze Elasticsearch in Alteryx Designer (ODBC) Alteryx Designer: Work with Live Elasticsearch Data in Alteryx Designer (Connect Cloud) Amazon QuickSight: Build Interactive Dashboards from Elasticsearch Data in Amazon QuickSight Amazon SageMaker: Integrate Live Elasticsearch data into Amazon SageMaker Canvas Aqua Data Studio: Connect to Elasticsearch in Aqua Data Studio AWS Databricks: Process & Analyze Elasticsearch Data in Databricks (AWS) Azure Analysis Services: Model Elasticsearch Data Using Azure Analysis Services Birst: Build Visualizations of Elasticsearch in Birst BIRT: Design BIRT Reports on Elasticsearch Clear Analytics: Build Charts with Elasticsearch in Clear Analytics Cognos Analytics (On-Prem): Analyze Elasticsearch Data in Cognos Analytics DBxtra: Build Dashboards with Elasticsearch in DBxtra Domo: Create Datasets from Elasticsearch in Domo Workbench Dundas BI: Build Dashboards with Elasticsearch in Dundas BI Excel (on Mac OS): Work with Elasticsearch Data in MS Excel on Mac OS X FineReport: Feed Elasticsearch into FineReport Google Sheets: Access Live Elasticsearch Data in Google Sheets IBM Cognos BI: Create Data Visualizations in Cognos BI with Elasticsearch Infragistics Reveal: Analyze Elasticsearch Data in Infragistics Reval JasperServer: Create Elasticsearch Reports on JasperReports Server Jaspersoft BI Suite: Connect to Elasticsearch in Jaspersoft Studio JReport Designer: Integrate with Elasticsearch in JReport Designer Klipfolio: Create Elasticsearch-Connected Visualizations in Klipfolio KNIME: Enable the Elasticsearch JDBC Driver in KNIME LINQPad: Working with Elasticsearch in LINQPad Looker: Analyze Elasticsearch Data in Looker Looker Studio: Create Reports from Elasticsearch Data in Looker Studio Metabase: Create Interactive Elasticsearch-Connected Metabase Dashboards Microsoft Excel: Access Live Elasticsearch Data in Excel Desktop Microsoft Excel for the Web: Access Live Elasticsearch Data in Excel for the Web Microsoft SSAS: Build an OLAP Cube in SSAS from Elasticsearch MicroStrategy: Connect to Live Elasticsearch Data in MicroStrategy through Connect Cloud MicroStrategy: Use the CData JDBC Driver for Elasticsearch in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Elasticsearch in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Elasticsearch in MicroStrategy Web Mode Analytics: Create Elasticsearch-Connected Visualizations in Mode OBIEE: Elasticsearch Reporting in OBIEE with the Elasticsearch JDBC Driver pandas: Use pandas to Visualize Elasticsearch in Python Pentaho Report Designer: Integrate Elasticsearch in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Elasticsearch Power BI Service: Visualize Live Elasticsearch Data in the Power BI Service Power Pivot: Access Elasticsearch Data in Microsoft Power Pivot Power Query: Access Elasticsearch Data in Microsoft Power Query Qlik Cloud: Create Apps from Elasticsearch Data in Qlik Sense Cloud QlikView: Connect to and Query Elasticsearch in QlikView over ODBC R: Analyze Elasticsearch in R (JDBC) R: Analyze Elasticsearch in R (ODBC) RapidMiner: Connect to Elasticsearch in RapidMiner Redash: Build Elasticsearch-Connected Dashboards in Redash SAP Analytics Cloud: Analyze Elasticsearch Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Elasticsearch SAP Crystal Reports: Publish Reports with Elasticsearch in Crystal Reports SAS: Use the CData ODBC Driver for Elasticsearch in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for Elasticsearch in SAS JMP SAS Viya: Analyze Live Elasticsearch Data in SAS Viya Sisense: Visualize Live Elasticsearch in Sisense Spago BI: Connect to Elasticsearch in SpagoBI Tableau: Visualize Elasticsearch in Tableau Desktop Tableau Cloud: Build Elasticsearch Visualizations in Tableau Cloud Tableau Server: Publish Elasticsearch-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize Elasticsearch in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize Elasticsearch Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on Elasticsearch from Spotfire Server Visio: Link Visio Shapes to Elasticsearch Zoho Analytics: Create Elasticsearch-Connected Dashboards in Zoho Analytics

ETL, Replication, & Warehousing

From drivers and adapters that extend your favorite ETL tools with Elasticsearch connectivity to ETL/ELT tools for Elasticsearch data integration — our Elasticsearch integration solutions provide robust, reliable, and secure data movement.

Connect your RDBMS or data warehouse with Elasticsearch to facilitate operational reporting, offload queries and increase performance, support data governance initiatives, archive data for disaster recovery, and more.

Popular Data Warehousing Integrations

Airbyte: Connect to Elasticsearch Data in Airbyte ELT Pipelines Amazon Redshift: Automated Continuous Elasticsearch Replication to Amazon Redshift Amazon S3: Automated Continuous Elasticsearch Replication to Amazon S3 Apache Airflow: Bridge Elasticsearch Connectivity with Apache Airflow Apache Camel: Integrate with Elasticsearch using Apache Camel Apache Cassandra: Automated Continuous Elasticsearch Replication to Apache Cassandra Apache Kafka: Automated Continuous Elasticsearch Replication to Apache Kafka Apache NiFi: Bridge Elasticsearch Connectivity with Apache NiFi Apache NiFi Batch Operations: Perform Batch Operations with Elasticsearch Data in Apache NiFi AWS Glue: Build ETL Jobs with Elasticsearch Data in AWS Glue Jobs Azure Data Factory: Import Elasticsearch Data Using Azure Data Factory Azure Data Lake: Automated Continuous Elasticsearch Replication to Azure Data Lake Azure Synapse: Automated Continuous Elasticsearch Replication to Azure Synapse BIML: Use Biml to Build SSIS Tasks to Replicate Elasticsearch to SQL Server CloverDX: Connect to Elasticsearch in CloverDX (formerly CloverETL) Couchbase: Automated Continuous Elasticsearch Replication to Couchbase CSV: Automated Continuous Elasticsearch Replication to Local Delimited Files Databricks: Automated Continuous Elasticsearch Replication to Databricks FoxPro: Work with Elasticsearch in FoxPro Google AlloyDB: Automated Continuous Elasticsearch Replication to Google AlloyDB Google BigQuery: Automated Continuous Elasticsearch Replication to Google BigQuery Google Cloud SQL: Automated Continuous Elasticsearch Replication to Google Cloud SQL Google Data Fusion: Build Elasticsearch-Connected ETL Processes in Google Data Fusion Heroku / Salesforce Connect: Replicate Elasticsearch for Use in Salesforce Connect HULFT Integrate: Connect to Elasticsearch in HULFT Integrate IBM DB2: Automated Continuous Elasticsearch Replication to IBM DB2 Informatica Cloud: Integrate Elasticsearch in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for Elasticsearch Jaspersoft ETL: Connect to Elasticsearch in Jaspersoft Studio Microsoft Access: Automated Continuous Elasticsearch Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous Elasticsearch Replication to Azure SQL Microsoft Excel: Transfer Data from Excel to Elasticsearch Microsoft Power Automate: Build Elasticsearch-Connected Automated Tasks with Power Automate (Desktop) MongoDB: Automated Continuous Elasticsearch Replication to MongoDB MySQL: Automated Continuous Elasticsearch Replication to MySQL Oracle Data Integrator: ETL Elasticsearch in Oracle Data Integrator Oracle Database: Automated Continuous Elasticsearch Replication to Oracle petl: Extract, Transform, and Load Elasticsearch in Python PostgreSQL: Automated Continuous Elasticsearch Replication to PostgreSQL Replicate to MySQL: Replicate Elasticsearch to MySQL with PowerShell SAP HANA: Automated Continuous Elasticsearch Replication to SAP HANA SingleStore: Automated Continuous Elasticsearch Replication to SingleStore SnapLogic: Integrate Elasticsearch with External Services using SnapLogic Snowflake: Automated Continuous Elasticsearch Replication to Snowflake SQL Server: Automated Continuous Elasticsearch Replication to SQL Server SQL Server Linked Server: Connect to Elasticsearch Data as a SQL Server Linked Server SQLite: Automated Continuous Elasticsearch Replication to SQLite Talend: Connect to Elasticsearch and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to Elasticsearch in UiPath Studio Vertica: Automated Continuous Elasticsearch Replication to a Vertica Database

Workflow & Automation Tools

Connect to Elasticsearch from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to Elasticsearch data from popular applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and many more.

Popular Workflow & Automation Tool Integrations

Developer Tools & Technologies

The easiest way to integrate with Elasticsearch from anywhere. Our Elasticsearch drivers offer a data-centric model for Elasticsearch that dramatically simplifies integration — allowing developers to build higher quality applications, faster than ever before. Learn more about the benefits for developers:

Popular Developer Integrations

.NET Charts: DataBind Charts to Elasticsearch .NET QueryBuilder: Rapidly Develop Elasticsearch-Driven Apps with Active Query Builder Angular JS: Using AngularJS to Build Dynamic Web Pages with Elasticsearch Apache Spark: Work with Elasticsearch in Apache Spark Using SQL AppSheet: Create Elasticsearch-Connected Business Apps in AppSheet Bubble.io: Build Elasticsearch-Connected Apps in Bubble C++Builder: DataBind Controls to Elasticsearch Data in C++Builder Choreo: Build Custom Apps on Elasticsearch Data in Choreo ColdFusion: Query Elasticsearch in ColdFusion Using JDBC ColdFusion: Query Elasticsearch in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on Elasticsearch Delphi: DataBind Controls to Elasticsearch Data in Delphi DevExpress: DataBind Elasticsearch to the DevExpress Data Grid EF - Code First: Access Elasticsearch with Entity Framework 6 EF - LINQ: LINQ to Elasticsearch EF - MVC: Build MVC Applications with Connectivity to Elasticsearch Filemaker Pro: Bidirectional Access to Elasticsearch from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to Elasticsearch from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with Elasticsearch on Linux Google Apps Script: Connect to Elasticsearch Data in Google Apps Script Hibernate: Object-Relational Mapping (ORM) with Elasticsearch Entities in Java IntelliJ: Connect to Elasticsearch in IntelliJ JBoss: Connect to Elasticsearch from a Connection Pool in JBoss JDBI: Create a Data Access Object for Elasticsearch using JDBI JRuby: Connect to Elasticsearch in JRuby Mendix: Build Elasticsearch-Connected Apps in Mendix Microsoft Power Apps: Integrate Live Elasticsearch Data into Custom Business Apps Built in Power Apps NodeJS: Query Elasticsearch Data in Node.js (via Connect Cloud) NodeJS: Query Elasticsearch through ODBC in Node.js OutSystems: Create Elasticsearch-Connected Enterprise Applications in OutSystems PHP: Access Elasticsearch in PHP through Connect Server PHP: Natively Connect to Elasticsearch in PHP PowerBuilder: Connect to Elasticsearch from PowerBuilder PowerShell: Pipe Elasticsearch to CSV in PowerShell PyCharm: Using the CData ODBC Driver for Elasticsearch in PyCharm Python: Connect to Elasticsearch in Python on Linux/UNIX React: Build Dynamic React Apps with Elasticsearch Data Ruby: Connect to Elasticsearch in Ruby RunMyProcess: Connect to Elasticsearch Data in RunMyProcess RunMyProcess DSEC: Connect to Elasticsearch in DigitalSuite Studio through RunMyProcess DSEC SAP UI5: Integrate Real-Time Access to Elasticsearch in SAPUI5 MVC Apps Servoy: Build Elasticsearch-Connected Apps in Servoy Spring Boot: Access Live Elasticsearch Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access Elasticsearch in Python Tomcat: Configure the CData JDBC Driver for Elasticsearch in a Connection Pool in Tomcat Unqork: Create Elasticsearch-Connected Applications in Unqork VCL App (RAD Studio): Build a Simple VCL Application for Elasticsearch WebLogic: Connect to Elasticsearch from a Connection Pool in WebLogic

When Only the Best Elasticsearch Drivers Will Do

See what customers have to say about our products and support.

Frequently Asked Elasticsearch Driver Questions

Learn more about Elasticsearch drivers & connectors for data and analytics integration

The Elasticsearch driver acts like a bridge that facilitates communication between various applications and Elasticsearch, allowing the application to read data as if it were a relational database. The Elasticsearch driver abstracts the complexities of Elasticsearch APIs, authentication methods, and data types, making it simple for any application to connect to Elasticsearch data in real-time via standard SQL queries.

Working with a Elasticsearch Driver is different than connecting with Elasticsearch through other means. Elasticsearch API integrations require technical experience from a software developer or IT resources. Additionally, due to the constant evolution of APIs and services, once you build your integration you have to constantly maintain Elasticsearch integration code moving forward.

By comparison, our Elasticsearch Drivers offer codeless access to live Elasticsearch data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Elasticsearch data from any client application. Because our drivers conform to standard data interfaces like ODBC, JDBC, ADO.NET etc. they offer a consistent, maintenance-free interface to Elasticsearch data. We manage all of the complexities of Elasticsearch integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

If you need truly zero-maintenance integration, check out connectivity to Elasticsearch via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to Elasticsearch from any of the available Cloud Drivers and Client Applications. Connectivity to Elasticsearch is managed in the cloud, and you never have to worry about installing new drivers when Elasticsearch is updated.

Many organizations draw attention to their library of connectors. After all, data connectivity is a core capability needed for applications to maximize their business value. However, it is essential to understand exactly what you are getting when evaluating connectivity. Some vendors are happy to offer connectors that implement basic proof-of-concept level connectivity. These connectors may highlight the possibilities of working with Elasticsearch, but often only provide a fraction of capability. Finding real value from these connectors usually requires additional IT or development resources.

Unlike these POC-quality connectors, every CData Elasticsearch driver offers full-featured Elasticsearch data connectivity. The CData Elasticsearch drivers support extensive Elasticsearch integration, providing access to all of the Elasticsearch data and meta-data needed by enterprise integration or analytics projects. Each driver contains a powerful embedded SQL engine that offers applications easy and high-performance access to all Elasticsearch data. In addition, our drivers offer robust authentication and security capabilities, allowing users to connect securely across a wide range of enterprise configurations. Compare drivers and connectors to read more about some of the benefits of CData's driver connectivity.

With our drivers and connectors, every data source is essentially SQL-based. The CData Elasticsearch driver contains a full SQL-92 compliant engine that translates standard SQL queries into Elasticsearch API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Elasticsearch as possible. Any logic that can not be pushed to Elasticsearch is handled transparently client-side by the driver/connector engine. Ultimately, this means that Elasticsearch looks and acts exactly like a database to any client application or tool. Users can integrate live Elasticsearch connectivity with ANY software solution that can talk to a standard database.

The Elasticsearch drivers and connectors offer comprehensive access to Elasticsearch data. Our Elasticsearch driver exposes static and dynamic data and metadata, providing universal access to Elasticsearch data for any enterprise analytics or data mangement use. To explore the Elasticsearch driver data model, please review the edition-specific Elasticsearch driver documentation.

Using the CData Elasticsearch drivers and connectors, Elasticsearch can be easily integrated with almost any application. Any software or technology that can integrate with a database or connect with standards-based drivers like ODBC, JDBC, ADO.NET, etc., can use our drivers for live Elasticsearch data connectivity. Explore some of the more popular Elasticsearch data integrations online.

Additionally, since Elasticsearch supported by CData Connect Cloud, we enable all kinds of new Elasticsearch cloud integrations.

Elasticsearch Analytics and Elasticsearch Cloud BI integration is universally supported for BI and data science. In addition, CData provides native client connectors for popular analytics applications like Power BI, Tableau, and Excel that simplify Elasticsearch data integration. Additionally, native Python connectors are widely available for data science and data engineering projects that integrate seamlessly with popular tools like Pandas, SQLAlchemy, Dash, and Petl.

Elasticsearch data integration is typically enabled with CData Sync, a robust any-to-any data pipeline solution that is easy to set up, runs everywhere, and offers comprehensive enterprise-class features for data engineering. CData Sync makes it easy to replicate Elasticsearch data any database or data warehouse, and maintain parity between systems with automated incremental Elasticsearch replication. In addition, our Elasticsearch drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. The best way to integrate Elasticsearch with Excel is by using the CData Connect Cloud Excel Add-In. The Elasticsearch Excel Add-In provides easy Elasticsearch integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Elasticsearch from the easy-to-use cloud interface, and access Elasticsearch just like you would another native Excel data source.