Splunk Drivers & Connectors
for Data Integration

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

ETL, Replication, & Warehousing

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

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

Workflow & Automation Tools

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

Our drivers and adapters provide straightforward access to Splunk 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 Splunk from anywhere. Our Splunk drivers offer a data-centric model for Splunk 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

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

When Only the Best Splunk Drivers Will Do

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

Frequently Asked Splunk Driver Questions

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

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

Working with a Splunk Driver is different than connecting with Splunk through other means. Splunk 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 Splunk integration code moving forward.

By comparison, our Splunk Drivers offer codeless access to live Splunk data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Splunk 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 Splunk data. We manage all of the complexities of Splunk 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 Splunk via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to Splunk from any of the available Cloud Drivers and Client Applications. Connectivity to Splunk is managed in the cloud, and you never have to worry about installing new drivers when Splunk 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 Splunk, 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 Splunk driver offers full-featured Splunk data connectivity. The CData Splunk drivers support extensive Splunk integration, providing access to all of the Splunk 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 Splunk 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 Splunk driver contains a full SQL-92 compliant engine that translates standard SQL queries into Splunk API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Splunk as possible. Any logic that can not be pushed to Splunk is handled transparently client-side by the driver/connector engine. Ultimately, this means that Splunk looks and acts exactly like a database to any client application or tool. Users can integrate live Splunk connectivity with ANY software solution that can talk to a standard database.

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

Using the CData Splunk drivers and connectors, Splunk 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 Splunk data connectivity. Explore some of the more popular Splunk data integrations online.

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

Splunk Analytics and Splunk 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 Splunk 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.

Splunk 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 Splunk data any database or data warehouse, and maintain parity between systems with automated incremental Splunk replication. In addition, our Splunk 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 Splunk with Excel is by using the CData Connect Cloud Excel Add-In. The Splunk Excel Add-In provides easy Splunk integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Splunk from the easy-to-use cloud interface, and access Splunk just like you would another native Excel data source.