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Qlik Catalog

Qlik Catalog
Formerly Qlik Data Catalyst

Overview

What is Qlik Catalog?

Qlik Catalog (formerly Qlik Data Catalyst) builds a secure, enterprise-scale catalog of all the data in an organization available for analytics users as a service across lakes, warehouses, transactional systems, and file systems. It is able to recognize, profile, tag, and secure data in…

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Recent Reviews

TrustRadius Insights

User sentiment analysis for Qlik Catalog: Ease of use: Reviewers found Qlik Catalog to be intuitive and user-friendly, with a basic …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Pricing

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Qlik Sense® Business

$30

Cloud
per month per user

Qlik Sense® Enterprise SaaS

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Cloud

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://www.qlik.com/us/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $30 per month per user
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Product Details

What is Qlik Catalog?

Qlik Catalog (formerly Qlik Data Catalyst) builds a secure, enterprise-scale catalog of all the data in an organization available for analytics users as a service across lakes, warehouses, transactional systems, and file systems. It is able to recognize, profile, tag, and secure data in different formats (RDBMS, file, XML, JSON, Mainframe Copy Book) and make it searchable and available to users based on their role. The software also provides automated data preparation capabilities to streamline the transformation of raw data into analytics-ready information assets including data standardization, combination, and aggregation.

Qlik Catalog Competitors

Qlik Catalog Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(2)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

User sentiment analysis for Qlik Catalog:

Ease of use: Reviewers found Qlik Catalog to be intuitive and user-friendly, with a basic premise similar to an e-commerce platform catalog. Some reviewers appreciated the simplicity and ease of data visualization provided by Qlik Catalog, making it easier to gain insights and take actions for most use cases.

Flexible data management: The ability of Qlik Catalog to connect to any source, including flatfiles, db2, and any ODBC and JDBC connections was highly valued by some reviewers. They also found its advanced and easy-to-implement data management solution for cataloging supporting data discovery and governance helpful in collecting, organizing, enriching metadata which is essential towards better business insights.

Reporting options: Reviewers appreciated the reporting options provided by Qlik Catalog as they can optimize them to improve business productivity.

Slow processing speed: Some users have experienced slow processing speeds while using Qlik Catalog, resulting in wasted time and frustration. Expensive and space-consuming: Several reviewers have mentioned that the software is expensive and takes up a lot of space on their devices, which could be a concern for some users. Autocorrelation issues: Multiple relationships can lead to messy autocorrelation, causing difficulties in handling large data volumes according to some customers.

Reviews

(1-1 of 1)
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Score 7 out of 10
Vetted Review
Verified User
Incentivized
Our company very small company and we are using Qlik data catalyst for managing huge data. The application allows us to compare the huge data. it is helping us to improve productivity by providing data in a good format.
  • Cost management
  • Improve customer relations/service
  • Improve business process outcomes
  • Transformation of data is too slow
  • Limited features available
  • Complex data structure
We can connect to any source, flat flies, any JDBC, odbc connection can be made. Transformation of data is too slow.
  • Strong user community
  • Strong service expertise
  • It can occupy lot of RAM space
  • More focus on reporting module
Automatic preparation of raw data into analytics. Our company made to decision to improve customer relations and service.
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