Qlik Compose Reviews

Name: Qlik Compose
Brand: Qlik
Rating: 3.8 (12 reviews)

Vendor: Qlik

3.8 out of 5

12 reviews
81% willing to recommend

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.

Get the Qlik Compose Buyer's Guide and find out what your peers are saying about Qlik Compose, Informatica Intelligent Data Management Cloud (IDMC), Azure Data Factory and more!

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 14% of all views.

Helped 864,155 peers since 2012

Featured Qlik Compose reviews

Sahil Taneja

Principal Consultant/Manager at Tenzing

The initial setup was easy for the data warehousing concept. But for a person who is new to ETL and warehousing concepts, it may take some time. If someone is familiar with these concepts, they could understand and learn the tool quickly. However, compared to other tools, the UI is complex. It would be helpful to have a better UI and documentation for new users. As of now, there is a challenge in learning the Compose tool for new users altogether. Qlik Compose was deployed on-premises. But the servers, like the SQL servers were maintained on the cloud—the managed instances.

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Prashanth Reddy

Technical Lead at Wipro Limited

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.

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Sergio Padovan

Founder at ICE Srl & ICE SUISSE SA at a consultancy with 11-50 employees

Since it lacks in certain areas pertaining to scalability, there is a scope for improving the solution's scalability. Qlik Compose should consider the fact that there are complex SQL statements without writing codes, documentation is not simple, SQL code is needed in order to make a transformation, and data quality functionality in the solution, and these issues need to be considered for improvement.

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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

PeerResearch reports based on Qlik Compose reviews

Type	Title	Date
Category	Data Integration	Aug 1, 2025	Download
Product	Reviews, tips, and advice from real users	Aug 1, 2025	Download
Comparison	Qlik Compose vs Azure Data Factory	Aug 1, 2025	Download
Comparison	Qlik Compose vs SSIS	Aug 1, 2025	Download
Comparison	Qlik Compose vs Informatica PowerCenter	Aug 1, 2025	Download

Title	Rating	Mindshare	Recommending
Informatica Intelligent Data Management Cloud (IDMC)	4.0	4.3%	93%	185 interviews Add to research
Azure Data Factory	4.0	7.4%	92%	91 interviews Add to research

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

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

10%

Government

Computer Software Company

Insurance Company

Healthcare Company

Retailer

Construction Company

Educational Organization

Energy/Utilities Company

Performing Arts

Media Company

Comms Service Provider

Non Profit

Outsourcing Company

Transportation Company

Consumer Goods Company

Pharma/Biotech Company

Real Estate/Law Firm

Legal Firm

Wholesaler/Distributor

Recreational Facilities/Services Company

University

Recruiting/Hr Firm

Aerospace/Defense Firm

Logistics Company

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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.