The MarkLogic Data Hub is an open-source software interface that works to ingest data from multiple sources, harmonize that data, master it, and then search and analyze it. It runs on MarkLogic Server, and together, they provide a unified platform for mission-critical use cases.

You can install Data Hub by downloading and running QuickStart or by executing tasks with the Data Hub Gradle plugin. For details, see how to install the latest Data Hub version.


Data Hub 5 (latest version):

Data Hub 4:

Major Features

  • Architecture built around a three-step process: ingest and discover data; model and harmonize data; and deliver data to downstream systems and applications
  • Framework includes MarkLogic’s enterprise capabilities: fine-grained, industry-leading data security, high availability and disaster recovery, ACID transactions, and more
  • Operational Data Hub Pattern facilitates faster and more agile data integration, while allowing real-time concurrent interactive access to data
  • Secures all the data and operations at the entity or attribute level and traces data lineage


To get started using the MarkLogic Data Hub, go through the Getting Started with MarkLogic Data Hub tutorial to learn about the installation requirements, configuration, loading data, and more. The full MarkLogic Data Hub documentation is also available and covers everything Data Hub.

Get Started

MarkLogic University

Learn how to use the MarkLogic Data Hub to quickly build a data hub during this instructor-led, 8-hour course with hands-on labs.

QuickStart Tutorial

Learn how to use the MarkLogic Data Hub to integrate data in an agile way to quickly deliver valuable data service to the customer.

Getting Started Videos

This video demos ingest, curate, access, and deployment. There are also videos to walk you through installation, a prerequisite.

Related Resources


Full product documentation that covers data management, deployment, security, provenance, lineage, and more.

Data Hub Service

The MarkLogic Data Hub delivered as a service. Explore some of its technical resources here.

Cooking Up a Data Hub

Paxton Hare discusses the secret recipe for building a data hub: ingest, curate, access, and what each step in the process means.

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