MarkLogic Drivers & Connectors
for Data Integration

Connect to live MarkLogic databases from BI, analytics, and reporting tools through SQL-based drivers. Easily integrate MarkLogic data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.


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Other Database Technologies



BI & Analytics



Our drivers offer the fastest and easiest way to connect real-time MarkLogic data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to MarkLogic 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 MarkLogic in Alteryx Designer (ODBC) Amazon QuickSight: Build Interactive Dashboards from MarkLogic Data in Amazon QuickSight Aqua Data Studio: Connect to MarkLogic in Aqua Data Studio AWS Databricks: Process & Analyze MarkLogic Data in Databricks (AWS) Birst: Build Visualizations of MarkLogic in Birst BIRT: Design BIRT Reports on MarkLogic Clear Analytics: Build Charts with MarkLogic in Clear Analytics DBxtra: Build Dashboards with MarkLogic in DBxtra Domo: Create Datasets from MarkLogic in Domo Workbench Dundas BI: Build Dashboards with MarkLogic in Dundas BI Excel (on Mac OS): Work with MarkLogic Data in MS Excel on Mac OS X FineReport: Feed MarkLogic into FineReport IBM Cognos BI: Create Data Visualizations in Cognos BI with MarkLogic Infragistics Reveal: Analyze MarkLogic Data in Infragistics Reval JasperServer: Create MarkLogic Reports on JasperReports Server Jaspersoft BI Suite: Connect to MarkLogic in Jaspersoft Studio JReport Designer: Integrate with MarkLogic in JReport Designer Klipfolio: Create MarkLogic-Connected Visualizations in Klipfolio KNIME: Enable the MarkLogic JDBC Driver in KNIME LINQPad: Working with MarkLogic in LINQPad Microsoft SSAS: Build an OLAP Cube in SSAS from MarkLogic MicroStrategy: Connect to Live MarkLogic Data in MicroStrategy through Connect Server MicroStrategy: Use the CData JDBC Driver for MarkLogic in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for MarkLogic in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for MarkLogic in MicroStrategy Web OBIEE: MarkLogic Reporting in OBIEE with the MarkLogic JDBC Driver pandas: Use pandas to Visualize MarkLogic in Python Pentaho Report Designer: Integrate MarkLogic in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time MarkLogic Power BI Service: Visualize Live MarkLogic Data in the Power BI Service Power Pivot: Access MarkLogic Data in Microsoft Power Pivot Power Query: Access MarkLogic Data in Microsoft Power Query QlikView: Connect to and Query MarkLogic in QlikView over ODBC R: Analyze MarkLogic in R (JDBC) R: Analyze MarkLogic in R (ODBC) RapidMiner: Connect to MarkLogic in RapidMiner Redash: Build MarkLogic-Connected Dashboards in Redash SAP Analytics Cloud: Analyze MarkLogic Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for MarkLogic SAP Crystal Reports: Publish Reports with MarkLogic in Crystal Reports SAS: Use the CData ODBC Driver for MarkLogic in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for MarkLogic in SAS JMP Sisense: Visualize Live MarkLogic in Sisense Spago BI: Connect to MarkLogic in SpagoBI Tableau: Visualize MarkLogic in Tableau Desktop Tableau Cloud: Build MarkLogic Visualizations in Tableau Cloud Tableau Server: Publish MarkLogic-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize MarkLogic in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize MarkLogic Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on MarkLogic from Spotfire Server

ETL, Replication, & Warehousing



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

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


Popular Data Warehousing Integrations



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

Workflow & Automation Tools



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

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


When Only the Best MarkLogic Drivers Will Do

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



Frequently Asked MarkLogic Driver Questions

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


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

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

By comparison, our MarkLogic Drivers offer codeless access to live MarkLogic data for both technical and non-technical users alike. Any user can install our drivers and begin working with live MarkLogic 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 MarkLogic data. We manage all of the complexities of MarkLogic integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

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

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

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

MarkLogic Analytics 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 MarkLogic 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.

MarkLogic 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 MarkLogic data any database or data warehouse, and maintain parity between systems with automated incremental MarkLogic replication. In addition, our MarkLogic drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. CData offers native Excel Add-Ins for MarkLogic integration. These Add-Ins provide live access to MarkLogic data directly from Microsoft Excel.