Qlik Data Integration
What is Qlik Data Integration?
Solution for data replication, transformation and standardization in real time.
Self-description of Qlik Data Integration
Would you like to find out more about BARC reviews? Our FAQs answer the most important questions.
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 as a business intelligence vendor, has systematically expanded into data management over the past decade. The company built an extensive portfolio through strategic acquisitions, most notably Attunity in 2019 for change data capture and replication capabilities, and Talend in 2023 for data transformation, quality, and governance. Earlier acquisitions include Podium Data for data cataloging (2018), [Blendr.io](http://blendr.io/) for integration platform-as-a-service (2020), NodeGraph for graph-based lineage and governance (2021), and Big Squid for AutoML (2021).
Qlik Data Integration sits within this broader portfolio of data management solutions, serving midsize-to-large enterprises with hybrid and cloud deployments. The company continues to work on integrating these formerly separate products into a more unified experience and brand. From a customer perspective, this integration journey is ongoing – users benefit from the portfolio’s breadth while navigating the complexity of tools from different origins. Qlik is investing to realize synergies and remove friction, though customers still encounter some portfolio-related challenges.
In The Data Fabric Survey 26, 22 users evaluated Qlik Data Integration. The product’s standout strength is connectivity: 59% of users cite connectivity to source and target systems as a key reason to purchase. One user praised the platform’s “many connectors,” while another highlighted “fast integration of all types of data.” This connectivity advantage is underpinned by Qlik’s acquisition-driven portfolio, which has expanded its reach across diverse data sources and targets. The platform ranks third in the ETL Tools peer group for Connectivity (7.6/10) and delivers exceptional Platform Reliability. Key User Support ranks second in two peer groups (7.1/10), reflecting strong technical assistance.
Beyond connectivity, Qlik Data Integration demonstrates solid business value. It ranks second for Project Success (7.1/10) and third for Project Length (7.3/10) in the ETL Tools peer group, indicating that implementations deliver results efficiently. A user testimonial captures this well: “Easy to use; Complete ETL in a single programming language environment; Very fast; No problem with VERY large data volumes; A SaaS platform that covers all our needs.” These project outcomes suggest technical teams can successfully deploy the platform for complex integration scenarios.
However, complexity emerges as a significant obstacle across multiple dimensions. 33% of users report the tool is too difficult for business users – substantially higher than the 19% average – while 29% cite lack of know-how to use the software, compared to just 19% on average. These usability and knowledge gaps as well as the integration challenges named in the beginning help explain why Qlik Data Integration ranks sixth for Recommendation (6.8/10) and sixth for overall Customer Satisfaction (7.0/10) in the Data Warehouse Automation and ETL Tools peer groups, despite its strong project delivery record.
Qlik Data Integration is a connectivity-first choice for organizations tackling complex, multi-source integration scenarios across hybrid or multi-cloud environments. It is less suitable for projects requiring business user self-service, simple administration, or highly adaptable and flexible integration solutions. As Qlik continues to unify its acquisition-based portfolio, customers should monitor progress in streamlining product experiences and addressing usability concerns.
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.
- Exceptional connectivity to source and target systems, supported by a broad acquisition-based portfolio.
- 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.
- 29% report a lack of know-how to use the platform – explaining the mixed results around real-ized business value from the tool despite a feature and connectivity fit.
- After numerous acquisitions, Qlik’s product portfolio contains some overlapping products that can confuse new and existing customers. Qlik is making substantial improvements around this challenge.
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.
Why users buy Qlik Data Integration and what problems they have using it
- 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
Full user reviews and KPI results for Qlik Data Integration
All key figures for Qlik Data Integration at a glance.
- 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
Individual user reviews for Qlik Data Integration
Number of employees
Industry
Source
What do you like best?
Schnelle Integration von Daten aller Art.
What do you like least/what could be improved?
Der Preis.
What key advice would you give to other companies looking to introduce/use the product?
Vernünftige Unterstützung eines Partners zu Rate ziehen und die ersten Umsetzungen gemeinsam mit dem Partner durchführen.
How would you sum up your experience?
Sehr gute Erfahrungen.
Number of employees
Industry
Source
What do you like best?
Einfach zu bedienen. Gesamter ETL in einer Umgebung mit nur einer Programmiersprache. Sehr schnell. Kein Problem mit sehr großen Datenmengen. Eine SaaS-Plattform, die alle unsere Bedürfnisse abdeckt.
What do you like least/what could be improved?
–
What key advice would you give to other companies looking to introduce/use the product?
Einen guten Partner auswählen, in der Schweiz beispielsweise Heyde oder Informatec. Entscheidung treffen, was Inhouse und was vom Partner erledigt werden soll (Backend, Frontend, ...).
How would you sum up your experience?
Rundum zufrieden. Preis-Leistung ist sehr gut. Einfachheit und Funktionsumfang der Qlik-Umgebung sind aus meiner Sicht einzigartig. Ein kleines Team (auch eine Einzelperson) kann in kurzer Zeit viel Nutzen für die Firma generieren.
Number of employees
Industry
Source
What do you like best?
Gute Nachverfolgung, gute Kontrollmechanismen bei fehlgeschlagenen Prozessen, extrem viele Konnektoren.
What do you like least/what could be improved?
Das Starten des Programms dauert lange, wenn es On-Premises betrieben wird (ca. zwei Minuten).
What key advice would you give to other companies looking to introduce/use the product?
Eine Schulung besuchen und vorher überlegen, wie die Strukturen aussehen sollen. Nachträgliche Änderungen sind Fleißarbeit.
How would you sum up your experience?
Sehr gut, alle Erwartungen sind erfüllt bzw. übertroffen.
Number of employees
Industry
Source
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.
Number of employees
Industry
Source
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.
Number of employees
Industry
Source
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.
Number of employees
Industry
Source
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.
Number of employees
Industry
Source
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.
Number of employees
Industry
Source
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!
