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Qlik Compose Reviews

Vendor: Qlik
3.8 out of 5
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What is Qlik Compose?

Qlik Sense is a powerful business intelligence tool that offers a range of features to help organizations make faster and more informed decisions. Its primary use cases include operational and financial dashboards, self-service reporting, and centralized access to cross-functional reports. The solution is praised for its mobile platform, ease of use, data-sharing capabilities, and extensibility. 

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Qlik Compose is the #34 ranked solution in top Data Integration Tools. PeerSpot users give Qlik Compose an average rating of 7.6 out of 10. Qlik Compose is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): Qlik Compose vs Informatica Intelligent Data Management Cloud (IDMC). Qlik Compose is popular among the large enterprise segment, accounting for 61% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 16% of all views.
Buyer's Guide
Qlik Compose
August 2025
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Qlik Compose mindshare

As of August 2025, the mindshare of Qlik Compose in the Data Integration category stands at 1.2%, up from 0.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Qlik Compose1.2%
Informatica PowerCenter8.1%
Azure Data Factory7.4%
Other83.3%
Data Integration

PeerResearch reports based on Qlik Compose reviews

TypeTitleDate
CategoryData IntegrationAug 29, 2025Download
ProductReviews, tips, and advice from real usersAug 29, 2025Download
ComparisonQlik Compose vs Azure Data FactoryAug 29, 2025Download
ComparisonQlik Compose vs SSISAug 29, 2025Download
ComparisonQlik Compose vs Informatica PowerCenterAug 29, 2025Download
Suggested products
TitleRatingMindshareRecommending
Informatica Intelligent Data Management Cloud (IDMC)4.04.3%93%186 interviewsAdd to research
Azure Data Factory4.07.4%92%92 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Qlik Compose excels in ETL and data integration, offering real-time replication, user-friendly drag-and-drop features, and code-free data modeling. Its auto-mapping and warehouse automation streamline processes. Users appreciate data integration with multiple sources, CDC, and managed Data Lake Creation. With intuitive design, it supports data extraction from platforms like SAP and delivers versatile graphical data representation. It allows connection to several databases with data Lifecycle Policies and DLP reports, ensuring efficient updates.
  • "The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."
  • "One of the most valuable features of this tool is its automation capabilities, allowing us to design the warehouse in an automated manner. Additionally, we can generate Data Lifecycle Policies (DLP) reports and efficiently implement updates and best practices based on proven design patterns."
  • "The technical support is very good. I rate the technical support a ten out of ten."

Room for Improvement

Qlik Compose users suggest enhancing ETL features including monitoring, scheduling, and data transformation. The need for improved technical support and documentation is emphasized, alongside better complex SQL handling and scalability. Users highlight issues with large data processing, integration ease, and user-friendly development features. Concerns include connectivity with coding languages like Python or Java, NoSQL functionality, and Linux integration. Performance optimization for data updates and visualization remains a priority, with a focus on enhancing user-friendliness and self-service capabilities.
  • "It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it."
  • "When processing data from certain tables with a large volume of data, we encounter significant delays. For instance, when dealing with around one million records, it typically takes three to four hours. To address this, I aim to implement performance improvements across all tables, ensuring swift processing similar to those that are currently complete within seconds. The performance issue primarily arises when we analyze the inserts and updates from the source, subsequently dropping the table. While new insertions are handled promptly, updates are processed slowly, leading to performance issues. Despite consulting our Qlik vendors, they were unable to pinpoint the exact cause of this occurrence. Consequently, I am seeking ways to optimize performance within Qlik Compose, specifically concerning updates."
  • "My issues with the solution's stability are owing to the fact that it has certain bugs causing issues in some functionalities that should be working."

Pricing

Enterprise users report that Qlik Compose offers a pricing model primarily based on licensing costs, with variations tied to data volume and company use case. The cost is perceived as expensive, rating it a six out of ten on a pricing scale. Discounts may be available, but potential clients should contact Qlik directly for precise pricing. There's a noted need for improvement in pricing structures for corporate clients.
  • "While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."
  • "The price of the solution is expensive."
  • "On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."

Popular Use Cases

Organizations utilize Qlik Compose primarily for data integration, preparation, and transformation. They deploy it for constructing data warehouses and data lakes, operating as a low to no-code ETL tool. It serves straightforward data processes like one-to-one database replication and basic transformations. Some find it advantageous for auto-mapping and warehouse modeling, while others emphasize it as a data integration platform complementary to Qlik Replicate for real-time data handling and Power BI reporting.

Service and Support

Customers have mixed opinions on Qlik Compose's support. Some find it helpful and responsive, rating it highly, while others mention delays and the need for improvements, especially for large clients. The initial level often follows a scripted process, requiring reiteration of issues. Many note that customer service generally meets expectations, providing solutions promptly, although some experience communication delays. There is a consensus that first-level support staff could be better trained and that response times should improve.

Deployment

Initial setup of Qlik Compose is often described as straightforward, taking as little as 20 minutes to hours, depending on knowledge level. It requires minimal personnel, although complexity arises with data connections and SAP authorization. Users with ETL and warehousing knowledge find it easier, though new users face challenges due to its complex UI. Deployment can vary from hours to months based on customer needs, impacting ease for those unfamiliar with Compose.

Scalability

Qlik Compose handles large data volumes effectively and is considered scalable, particularly in cloud environments. Scaling on-premises may require additional resources but remains feasible. Many organizations, including those with significant user bases, report effective scalability. Some view it less favorably in high-volume scenarios, but different user experiences suggest a varied range of scalability scores between seven and nine out of ten. Many note successful deployment across multiple systems without significant issues.

Stability

Qlik Compose is generally considered stable by most users. They note some concerns with bugs and stability-related errors, usually resolved with patches or support. While a few users encountered challenges with updates in production environments, others found it performed well without significant issues, rating its stability between seven and nine out of ten. Users facing high volume reported minor issues, but experienced users suggest it meets needs effectively depending on business requirements.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Qlik Compose Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business3
Midsize Enterprise3
Large Enterprise6
By reviewers
By visitors reading reviews
Company SizeCount
Small Business51
Midsize Enterprise38
Large Enterprise138
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Government
10%
Computer Software Company
7%
Healthcare Company
6%
Construction Company
6%
Retailer
6%
Insurance Company
6%
Educational Organization
4%
Comms Service Provider
3%
Media Company
3%
Pharma/Biotech Company
3%
Performing Arts
3%
Non Profit
3%
Outsourcing Company
3%
Consumer Goods Company
2%
Transportation Company
2%
Energy/Utilities Company
2%
Legal Firm
1%
Wholesaler/Distributor
1%
Real Estate/Law Firm
1%
Logistics Company
1%
Aerospace/Defense Firm
1%
University
1%
Recruiting/Hr Firm
1%

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Learn more about Qlik Compose

Qlik Sense has helped organizations improve data literacy, reduce time consumed in complex reports, and provide widely available MI to senior stakeholders. It also enables self-service analytics, improves data quality and governance, enhances collaboration, and reduces costs.

Qlik Compose was previously known as Compose, Attunity Compose.

Qlik Compose customers

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Product Categories

Product Categories
Data Integration

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Qlik Compose Reviews Summary
Author infoRatingReview Summary
Director - Metrics & Analytics at a computer software company with 1,001-5,000 employees3.5I use Qlik Compose for clients needing tailored data and analytics, appreciating its graphical representation and drill-down features. Improvement in self-service options and correlation analysis would be beneficial, despite preferring it for its cost-effectiveness over Tableau.
Principal Consultant/Manager at Tenzing4.0We used Qlik Compose for a data warehousing project, effectively integrating multiple source systems into a single console. Although valuable features enhanced data reconciliation, we faced challenges due to inadequate documentation. Deployment occurred on Microsoft Azure, chosen by our client.
Technical Lead at Wipro Limited4.0I primarily use Qlik Compose for development, enabling data supply for Power BI reports. Its strong automation capabilities enhance warehouse design and reporting. However, data processing delays occur with large tables, particularly during updates, requiring performance optimizations.
Founder at ICE Srl & ICE SUISSE SA at a consultancy with 11-50 employees4.0I found Qlik Compose useful for creating data marks without code and connecting to various databases. However, it requires SQL coding for complex transformations, lacks scalability, and its documentation isn't straightforward, which could be improved for better usability.
Practice Head - Qlik / Solutions Architect at TMC (TallyMarks Consulting)3.5I am a developer who implemented Qlik Compose alongside Qlik Replicate for creating data warehouses. The tool offers valuable features like ease of use and scalability with drag-and-drop functionality, though more ETL features and developer training materials are needed.
Head of Alliances at CGN Research & Advisory4.0Qlik Compose is a strong data integration tool, offering features like data extraction and warehouse automation. However, the ETL and data transformation aspects need improvement, and the platform's complexity poses challenges for integration and user experience.
Head of Data Practice at a tech consulting company with 201-500 employees4.0I use Qlik Compose for building data warehouses and lakes due to its low-code capabilities and fast delivery. While its modeling is efficient, support could improve, and custom script integration is challenging. It's deployed on Microsoft Azure.
Data Engineer at Natwest3.5I have used Qlik Compose for warehouse modeling, finding the auto-mapping feature particularly valuable as it simplifies the process by providing an in-built layout. However, the setup process could be more straightforward with better documentation for implementation guidance.