Databricks & Qlik

Accelerate insights with real-time, automated data pipelines

Databricks: Main Banner Image - Qlik Databricks diagram

The pace of business has changed. To keep up, you need to respond faster. Qlik Data Integration accelerates your AI, machine learning and data science initiatives by automating the entire data pipeline for Databricks Unified Analytics Platform – from real-time data ingestion to the creation and streaming of trusted analytics-ready data. Deliver actionable, data-driven insights now.

Improving Data Efficiency With Qlik and Databricks

Learn how JB Hunt is driving efficiency with AI and real-time automated data pipelines with Qlik and Databricks.

Databricks Unified Analytics Platform - Improving Data Efficiency With Qlik and Databricks

Data Lake or Lakehouse?

See how Qlik and Databricks can help you architect for next gen with our unified solution.

Ingest data from multiple sources in real-time

Qlik’s market-leading change data capture (CDC) capabilities enable you to ingest massive volumes of transactional data from virtually any source—databases, data warehouses, legacy mainframe systems, enterprise apps like SAP, and more—directly into the Databricks Unified Analytics Platform. Now you can power your AI, machine learning, data science and data analytics initiatives with always up-to-date data.

  • Connectivity to the widest set of enterprise data sources

  • Continuous data ingestion directly into Delta Lake on Databricks

  • Enterprise-wide monitoring and control

Databricks Unified Analytics Platform - Ingest data from multiple sources in real-time

Automate data pipelines to deliver analytics-ready data

Drive agility across your organization with fully automated data pipelines, all the way from real-time data ingestion, to transformation, and creation of analytics-ready data. And reduce data integrity and quality issues by minimizing complex, code-intensive ETL modeling and scripting processes.

  • Fully automated data pipelines

  • Auto-generated Spark transformations – without any coding

  • Purpose-built data sets to meet evolving needs

Databricks Unified Analytics Platform - Automate data pipelines to deliver analytics-ready data

Make Trusted Data Easily Accessible With a Smart, Integrated Data Catalog

Catalog, manage and deliver trusted, secure data to your data scientists and other data consumers. Give your teams visibility to all your data – not just in Delta Lake – but across all enterprise sources. Ensure data consumers can easily find, understand, and self-provision data for use in Qlik Sense, or another analytics application of their choice.

  • Powerful search, preview, and selection capabilities for all data, in Databricks and other enterprise sources

  • Modern online shopping experience to self-provision and action on data

  • Data access controls and obfuscation capabilities as well as integrations with a range of security and governance products for enterprise-grade data protection

Databricks Unified Analytics Platform - Make trusted data easily accessible with a smart, integrated data catalog

Databricks customers using Qlik Solutions enjoy these benefits:

Faster time to value

Improve efficiency and productivity

Automate labor-intensive tasks in your data pipeline to free-up your data engineers while making data easier to discover and use for your data consumers.

Reduce risk

Deliver trusted data with end-to-end lineage, ACID compliance, and code-free refinement. Ensure enterprise-grade security and governance for all data.

Increase flexibility and agility

Deploy in any cloud configuration. Integrate with ever-growing types of data sources, targets, and platforms, and consume data in analytics tools of your choice.

Qlik provides a great complement to our Databricks Unified Analytics Platform by delivering a wide variety of transactional data sources in real-time and at massive scale directly into Databricks Unified Analytics Platform. Building machine learning models requires data teams to iterate on data. Qlik solutions ensure that data teams are using the most up-to-date data possible.

Pankaj Dugar,

Vice President of ISV & Technology Partners, Databricks
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Learn more about Qlik and Databricks