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Number of reviews: 20
Customer Satisfaction
★★★★★★★★★★ 5.4/10
5.4
User Experience
★★★★★★★★★★ 4.0/10
4.0
Technical Foundation
★★★★★★★★★★ 4.4/10
4.4
Business Value
★★★★★★★★★★ 6.0/10
6.0

Qlik Data Integration

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What is Qlik Data Integration?

Tool suite with data management functions for connecting, preparing and providing data for analyses to support various data integration use case pattern.

  • Qlik Data Integration functions (BARC classification)
Data Management & Storage
– Databases & Access Engines
● Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
● Data Pipelining and Data Quality

● = covered

About Qlik Data Integration

The information in this section has been provided by the vendor of Qlik Data Integration.

Self-description of the vendor

No vendor self-description available
References
No data available
Partners
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Qlik Data Integration BARC Review & Rating

This section contains our independent analyst views on Qlik Data Integration.

Provider and product description

Qlik, originally founded in 1993 in Lund, Sweden, moved its headquarters to Radnor, Pennsylvania in the United States in 2005 after raising funds from several venture capital firms. It was acquired by the current owner – private equity company Thoma Bravo – in 2016. Qlik offers a broad portfolio of end-to-end, platform-based solutions for analytics and data management. In addition to Qlik Sense and Qlik Cloud Analytics, its portfolio includes data management capabilities such as data ingestion, transformation, cataloging, quality and governance.

Qlik has greatly expanded its data management offerings through acquisition in recent years. Major acquisitions include Podium Data for data cataloging in 2018; Attunity for data integration in 2019; Blendr.io for IPaaS in 2020; NodeGraph for graph-based data cataloging, lineage and governance in 2021; and Big Squid for AutoML in 2021. In 2023, Qlik acquired Talend to enhance its data transformation, data quality and data governance capabilities. And in early 2024, it purchased the technology and key talent of Kyndi, a provider of generative AI, natural language processing and search, to help companies explore and analyze unstructured data alongside structured data.

Qlik Data Integration and related tools manage data in support of both BI and data science projects. This includes Qlik Replicate, Qlik Cloud Data Integration, Talend Data Fabric, Talend Data Preparation and Talend Data Catalog. Together these products deliver data for consumption by Qlik Sense, Qlik AutoML, and third-party analytics tools. While Qlik is transitioning to a SaaS model, products such as Compose for data warehouse automation are also available on premises or as a hybrid deployment.

Qlik Replicate supports real-time streaming via change data capture (CDC) from database sources such as Db2 z/OS, SAP and Oracle to popular targets such as Amazon Redshift, Snowflake, Databricks, Google BigQuery and Microsoft Azure Synapse. Qlik Compose for Data Warehouses enables rapid graphical development of data warehouse models and marts, while Compose for Data Lakes consolidates and re-formats data for analytics. The catalog provides a business-user-friendly interface to search and analyze connected datasets. And Qlik Enterprise Manager manages, orchestrates and monitors these various pipelines across heterogeneous environments. Together, these capabilities enable midsized and large enterprises to manage and analyze data in support of real-time decisions and actions.

Strengths and challenges of Qlik Data Integration

BARC’s viewpoint on the product’s strengths and challenges.

Strengths
  • Qlik Data Integration encompasses a wide range of functionality, offering tools for nearly every aspect of data integration and management. Its breadth ensures customers consider it for a wide range of purchase scenarios.
  • The platform outscores its peers for ‘product functionality and performance’, ‘fit into exist-ing/future technology landscape’ and ‘ease of use for technical users’.
  • Qlik is a well-known, fast-moving company that continues to expand its product functionality through acquisition.
Challenges
  • Technical requirements dissuade business users from using the platform. Technical users, mean-while, cite concerns about product complexity, inflexibility and incompatibility with existing sys-tems.
  • Sales, deployment and management of the platform have become significant pain points for users.
  • After numerous acquisitions, Qlik’s product portfolio contains some overlapping products and inconsistent brand names that can confuse new and existing customers.
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Qlik Data Integration User Reviews & Experiences

The information contained in this section is based on user feedback and actual experience with Qlik Data Integration.

The information and figures are largely drawn from BARC’s The BI & Analytics Survey, The Planning Survey, The Financial Consolidation Survey and The Data Management Survey. You can find out more about these surveys by clicking on the relevant links.

Who uses Qlik Data Integration in a data management context and how

Why users buy Qlik Data Integration and what problems they have using it

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Full user reviews and KPI results for Qlik Data Integration

All key figures for Qlik Data Integration at a glance.

Premium content. Unlock with BARC+.
For just €79 per month (€948 per year) you can access all the paid content on www.barc.com.
Your benefits:
  • Get independent information on software solutions, market developments and trends in data, analytics, business intelligence, data science and corporate performance management.
  • Make data & analytics decisions based on numbers, data, facts and expert knowledge
  • Access to all premium articles and all our research, including all software comparison studies, scores and surveys.
  • Unlimited access to the BARC media library
  • Consume unlimited content anywhere
Buy now

Individual user reviews for Qlik Data Integration

Role
Data engineer/Data manager
Number of employees
100 - 2.500
Industry
IT
Source
BARC Panel, The Data Management Survey 25, 02/2024
What do you like best?

Qlik Data Integration offers a comprehensive suite of solutions to address various data-related needs. Here are some key aspects that make it stand out: Data Sources and Targets: Qlik provides a trusted data foundation to power AI, ML, and analytics by integrating various data sources and targets. Automation: With Qlik, you can automate data replication, ingestion, and streaming using Qlik Replicate. Additionally, Qlik Application Automation allows you to trigger informed actions on most SaaS applications. Analytics-Ready Data Sets: Qlik Compose for Data Lakes and Qlik Compose for Data Warehouses automate data pipelines, creating analytics-ready data sets for efficient analysis. Real-Time Unification: Qlik Cloud Data Integration enables real-time data transformation and unification for all your analytics, ML, or digital transformation initiatives.

What do you like least/what could be improved?

The licensing process turns out to be very complex, as it takes into account the processing of source bases.

What key advice would you give to other companies looking to introduce/use the product?

Every negotiation process has to be well aligned with the supplier's team, as there are always aggressive conditions and discounts. For the technical team, we must follow all the permissions requested for the data source and destination users.

How would you sum up your experience?

Qlik Data Integration is a great solution for data integration and the generation of DW, DM and DL, bringing a lot of agility to the delivery of data ready for consumption by the company's business areas.

Role
Consultant
Number of employees
Less than 100
Industry
Consulting
Source
BARC Marketing, The Data Management Survey 25, 03/2024
What do you like best?

Speed of development in the low-code environment is much better compared to traditional tooling. Replication capabilities with CDC in particular are excellent, warehouse automation also extremely efficient

What do you like least/what could be improved?

Limited flexibility in warehouse design without heavy customisation. Not a commonly used tool so next to no reference material/community support available.

What key advice would you give to other companies looking to introduce/use the product?

Take time to get engineers familiar with it, several months of experience needed to get comfortable.

How would you sum up your experience?

It is an effective, efficient and powerful tool.

Role
Consultant
Number of employees
Less than 100
Industry
Consulting
Source
BARC Marketing, The Data Management Survey 25, 02/2024
What do you like best?

The AI integrated modules that leads to fast model training and development.

What do you like least/what could be improved?

The hard integration with external applications.

What key advice would you give to other companies looking to introduce/use the product?

You can use it best for business intelligence. It is made for BI. It is also a good tool to make AI predictions without specific AI knowledge.

How would you sum up your experience?

It is really good!

Role
Data owner
Number of employees
More than 2.500
Industry
Healthcare
Source
BARC Panel, The Data Management Survey 25, 02/2024
What do you like best?

Performance und User-Freundlichkeit.

What do you like least/what could be improved?

Administation der QLIK Server Lösung.

What key advice would you give to other companies looking to introduce/use the product?

QLIK Cloud als Alternative zu prüfen.

How would you sum up your experience?

Begeistert unsere Anwender.

Role
Project manager for BI/analytics from IT
Number of employees
100 - 2.500
Industry
Insurance
Source
BARC Panel, The Data Management Survey 25, 04/2024
What do you like best?

Die einfache Integration von Daten aus unterschiedlichen Quellen.

What do you like least/what could be improved?

Die Laufzeiten könnten verbessert werden.

What key advice would you give to other companies looking to introduce/use the product?

Gute Strategie zur Implementation von Datenquellen erstellen.

How would you sum up your experience?

Wir haben sehr gute Erfahrungen gemacht, wobei die ersten Steps schwierig waren.

Role
Project manager for BI/analytics from IT
Number of employees
100 - 2.500
Industry
Retail
Source
BARC Panel, The Data Management Survey 25, 04/2024
What do you like best?

Schneller Einstieg.

What do you like least/what could be improved?

Hardwarebedarf.

What key advice would you give to other companies looking to introduce/use the product?

In potente Hardware investieren, damit es Spaß macht.

How would you sum up your experience?

Durchweg gute Erfahrungen.

Role
Data engineer/Data manager
Number of employees
100 - 2.500
Industry
Media/Publishing
Source
BARC Panel, The Data Management Survey 25, 03/2024
What do you like best?

Versatility with multiple data sources and fast loading speeds. Great for knitting data from multiple sources together for single customer view.

What do you like least/what could be improved?

Steep learning curve to get up to speed.

What key advice would you give to other companies looking to introduce/use the product?

Do not under estimate the time it will take to design the user interface.

How would you sum up your experience?

Adds a great deal of functional ability to your data that can help users break down their data barriers.

Role
IT employee
Number of employees
100 - 2.500
Industry
Process industry
Source
BARC Panel, The Data Management Survey 25, 04/2024
What do you like best?

Ease of use and availability support when needed.

What do you like least/what could be improved?

All is fine, so nothing that I do not like.

What key advice would you give to other companies looking to introduce/use the product?

Just try and you will be surprised how it can help.

How would you sum up your experience?

Very impressed of all the possibilities.

Write Review
Survey Information
Number of reviews for Qlik Data Integration
20
Reviewed versions
60 % version 2023, 20 % version 2024, 10 % each version 2021 or the cloud version
Peer groups in the survey
Data Product Engineering, Data Product Engineering (Big Players), Data Warehouse Automation, ETL Tools, Data Intelligence Platforms & Marketplaces, Data Intelligence Platforms (Small Scenarios), Data Intelligence Platforms (Big Players)
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