Enterprise Data Catalog | Qlik Catalog (Qlik Data Catalyst)

When you empower your business with on-demand access to analytics-ready data, you accelerate discovery and people get answers faster. Qlik Catalog (formerly Qlik Data Catalyst) is an enterprise data catalog that simplifies and accelerates the profiling, organization, preparation, and delivery of trustworthy, actionable data in days, not months.

faster turnaround on data delivery requests
reduction in data preparation costs
more analytics projects completed

Put all your data into one simplified view

Qlik Catalog builds a secure, enterprise-scale catalog of all the data your organization has available for analytics, no matter where it is. Powerful, automated data preparation and metadata tools streamline the transformation of raw data into analytics-ready information assets. Business users get a single, go-to data catalog to find, understand, and use any enterprise data source to gain insights.

Read Qlik Catalog Data Sheet

Onboard data

Automatically profile and document the exact content, structure, and quality of your data using built-in data loaders to simplify and accelerate the process

Enrich the catalog

Build a Smart Data Catalog that documents every aspect of your data. Technical, business, and operational metadata make each data element understandable and actionable.

Prepare data

Get your data business-ready with data standardization, cleansing, and protection measures. Easily enhance, blend, and filter data using a simple drag-and-drop process.

Shop and publish

Let users easily and securely “shop” for the data they need, exporting, sharing or automatically publishing data sets to Qlik Sense® and other analytic tools and applications.

Provide on-demand access to business-ready data

Qlik Catalog makes all of your data transparent, trustworthy, and ready for discovery. Data validation, profiling, and quality measures document the exact content and quality of each data source, while easy-to-use data preparation tools let users quickly move data from raw to ready to build-your-own datasets. And users are empowered to reuse, extend and share previously created assets, lowering data preparation costs and accelerating usage.

“Qlik Catalog cut delivery times from months to days, and reduced data management costs 40%.”

Joe Dossantos, Senior VP US Operations, TD Bank

“We leverage Qlik Catalog as a platform to speed up establishment of the infrastructure. Meeting the immediate needs of our business, while putting us on the way to executing our data strategy over the next three years.”

Pierre-Armand Peiclier, AVP Systems, Sun Life Financial

“Qlik Catalog reduced our analytics cycle time from 90 days to 2 days. Advanced data and analytics now inform dozens of business decisions each month.”

Top 20 Global Pharmaceutical manufacturer

“We are spending more time using data and less time trying to figure it out.”

Top 10 North American Health Services organization

Qlik Catalog Technical Brief

Get an in-depth understanding on how Qlik Catalog profiles, catalogs, manage, prepares, and delivers trustworthy, actionable data to business users across the enterprise.

Download Technical Brief

Built for the enterprise

Qlik Catalog runs on top of modern data stores and computing platforms like Snowflake®, AWS®, Azure® and Google® Cloud to deliver trustworthy, actionable enterprise data. A robust set of enterprise-scale governance and administrative capabilities, making it easy to scale, integrate with other systems and protect data from ingest through delivery.

Real-Time Data Streaming (CDC)

Extend enterprise data into live streams to enable modern analytics and microservices with a simple, real-time and universal solution.
- Explore Data Streaming
Agile Data Warehouse Automation

Quickly design, build, deploy and manage purpose-built cloud data warehouses without manual coding.
- Explore Data Warehouse Automation
Managed Data Lake Creation

Automate complex ingestion and transformation processes to provide continuously updated and analytics-ready data lakes.
- Explore Data Lake Creation