Fivetran vs Qlik Compose comparison

Fivetran and Qlik are both solutions in the Data Integration category. Fivetran is ranked #14 with an average rating of 8.7, while Qlik is ranked #52. Fivetran holds a 1.9% mindshare in DI, compared to Qlik’s 0.8% mindshare. Additionally, 90% of Fivetran users are willing to recommend the solution, compared to 81% of Qlik users who would recommend it.

Fivetran

Read 29 Fivetran reviews

8,099 Views
5,183 Comparison Views

90% willing to recommend

Qlik Compose

Read 12 Qlik Compose reviews

2,621 Views
2,123 Comparison Views

81% willing to recommend

Fivetran

Qlik Compose

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 19, 2024

Qlik Compose and Fivetran compete in the data operations category. Fivetran appears to have the upper hand owing to its comprehensive feature set, despite Qlik Compose being favored for its pricing and customer support.

Features: Qlik Compose is renowned for its ETL capabilities, data warehouse automation, and ease of use regarding drag-and-drop functionality. Its intuitive nature and modeling as well as code generation capabilities make it popular. On the other hand, Fivetran offers real-time data syncing, a wide range of connectors, and seamless interface usability. Its simplicity in setting up data pipelines and its automatic handling of data integration make it appealing for various environments.

Room for Improvement: Qlik Compose could enhance its range of supported integrations and simplify deployment procedures. Some users mention a desire for more automation features and greater scalability. Fivetran, meanwhile, might focus on improving customer service response times, refining its pricing model for smaller operations, and expanding transformation tools in lower pricing plans.

Ease of Deployment and Customer Service: Fivetran is valued for its easy deployment and fast setup, though some find its customer service less responsive. It handles large data volumes efficiently. Qlik Compose, while requiring technical expertise for setup, compensates with a responsive customer service team that enhances user experience through proactive support.

Pricing and ROI: Qlik Compose offers a transparent pricing structure, delivering favorable ROI for companies focusing on structured data management. While Fivetran may have a steeper pricing model, the cost can be offset by extensive features and continuous data updates. Its ROI is justified by enhanced data handling capabilities.

To learn more, read our detailed Fivetran vs. Qlik Compose Report (Updated: August 2026).

Buyer's Guide

Fivetran vs. Qlik Compose

August 2026

Download the complete report

Helped 908,800 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Fivetran

Ranking in Data Integration

14th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Replication (3rd), Cloud Data Integration (9th)

Qlik Compose

Ranking in Data Integration

52nd

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of Fivetran is 1.9%, down from 2.3% compared to the previous year. The mindshare of Qlik Compose is 0.8%, down from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Fivetran	1.9%
Qlik Compose	0.8%
Other	97.3%

Data Integration

Featured Reviews

Hafiz Usman

Team Lead Data Engineer at Data Pilot

Has accelerated data integration workflows and supports seamless development of custom connectors

I've worked extensively with Fivetran, mainly used for extraction purposes, and I've worked with the transformation element in it as well. Fivetran not only has built-in connectors but also provides SDK connectors, allowing us to develop our own connectors in an easy manner. I don't have to write raw Python scripts or dumping scripts; it offers straightforward examples and guidelines, making it much simpler to develop custom connectors inside Fivetran. We've been able to develop many custom connectors as well, which is unique and beneficial for having everything centralized instead of having those connectors located elsewhere. One of the best features by Fivetran is its clean, simple, and intuitive UI. It includes a transformation section where I can deploy my DBT queries and scripts. It also supplies good tracking capabilities for billing estimates and user permissions, allowing for customization to the desired level. The number of connectors it has remains a standout feature, and within connectors, the options available are very helpful. Although it sometimes appears static due to its built-in nature, it offers good flexibility for data transformation and caching, which I appreciate because it saves us extensive script-writing time.

Read full review

Susheel A

Director - Metrics & Analytics at a computer software company with 1,001-5,000 employees

Efficient data warehouse automation with robust features, but may require enhancements in user-friendly self-service options and pricing flexibility for broader corporate appeal

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 it comes to end users who may lack technical expertise, they are limited to toggling between existing developments. To empower end users to make critical changes without relying heavily on technical expertise, it would be beneficial to introduce more user-friendly features for development and modification. If it could incorporate correlation analysis capabilities into its platform, especially in a user-friendly manner, it would greatly enhance the tool's overall utility and make it an even more outstanding solution. There is a room for improvement regarding stability.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The portal is very intuitive and easy to use."

"The user interface is mostly UI-based, eliminating the need for a lot of coding."

"SysTrack load is the best feature."

"The general data ingestion is valuable. It's used for a lot of data. It provides about 90% of the data we use in our data warehouse without needing data engineering."

"The compare feature is the most valuable piece of it."

"Fivetran's most valuable feature is replication."

"For us, Fivetran has been able to scale both in terms of the data we bring into our warehouse and the amount of data that we use as well."

"Its arrays are powerful enough to handle migrations even when the replication is happening in the background, without causing any trouble with the ongoing traffic."

More Fivetran pros

"It can scale."

"I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years."

"It's a stable solution."

"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."

"It is a scalable solution."

"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."

"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."

"There were many valuable features, such as extracting any data to put in the cloud. For example, Qlik was able to gather data from SAP and extract SAP data from the platforms."

More Qlik Compose pros

Cons

"I would like for them to incorporate additional transformations. A valuable aspect of the product is that it does inflight transformations and that could be expanded."

"Fivetran would be improved by adding the ability to integrate the data from third-party APIs."

"Their pricing has increased over the years, so it's not seen as an advantage anymore."

"Fivetran could improve in the area of customization, especially in how they socialize their tools."

"The experience of using SDK connectors can be improved, as it lacks computational power, which is an area that needs enhancement."

"I would like Fivetran to implement additional resource monitoring and restriction policies."

"This solution needs to improve its real-time data and transformation availability."

"Fivetran should add more connectors because its competitors, like Airbyte, have more connectors."

More Fivetran cons

"For more complex work, we are not using Qlik Compose because it cannot handle very high volumes at the moment. It needs the same batching capabilities that other ETL tools have. We can't batch the data into small chunks when transforming large amounts of data. It tries to do everything in one shot and that's where it fails."

"Qlik's ETL and data transformation could be better."

"I'd like to have access to more developer training materials."

"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."

"I believe that visual data flow management and the transformation function should be improved."

"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."

"It would be better if the first level of technical support were a bit more technically knowledgeable to solve the problem. I think they could also improve the injection of custom scripts. It is pretty difficult to add additional scripts. If the modeling doesn't give you what you want, and you want to change the script generated by the modeling, it is a bit more challenging than in most other products. It is very good with standard form type systems, but if you get a more complicated data paradigm, it tends to struggle with transforming that into a model."

"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."

More Qlik Compose cons

Pricing and Cost Advice

"I rate the pricing a six out of ten."

"In the first year, we were given a very good discount. It was approximately 20,000 Euros per year. In the third year, we purchased credit for two years and the price was 33,000 Euros per year."

"The solution is affordable."

"I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors."

"I've heard that the license for HVR is a bit costly compared to its competitors, but since it's reliable and efficient, I think the customer shouldn't be bothered about the cost."

"When you have a lot of workflows and complex use cases, pricing goes down as you use it more."

"Fivetran is very expensive, and its database-driven pricing model is outdated."

"I don't have the exact information, but I know it is high, and it is on a yearly basis. There is no additional cost for what we're doing. We're always open to doing things cheaper, so we might potentially implement a different solution."

More Fivetran pricing and cost advice

"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."

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

908,800 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

13%

Manufacturing Company

Computer Software Company

Construction Company

Financial Services Firm

13%

Comms Service Provider

10%

Construction Company

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	7
Large Enterprise	16

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	3
Large Enterprise	6

Questions from the Community

What's the deal with the HVR software acquisition?

As a user of HVR Software I followed this deal closely. Fivetran is apparently trying to establish more in its sector and by buying an already established data replication software, they become som...

See all answers

Does HVR Software provide reliable insights?

I honestly can't think of another data replication software that can give you better statistics and insight than HVR Software. There's the feature for topology and statistics and both of them can ...

See all answers

How much traffic can HVR Software handle?

As someone who works at a company where a high volume of information is replicated and has tried several data replication softwares, I can tell you that you're looking at the right one. HVR Softwar...

See all answers

Which ETL tool would you recommend to populate data from OLTP to OLAP?

There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...

See all answers

Comparisons

SSIS vs Fivetran

Compared 5% of the time

Denodo vs Fivetran

Compared 4% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Fivetran

Compared 3% of the time

AWS Database Migration Service vs Fivetran

Compared 3% of the time

Oracle GoldenGate vs Fivetran

Compared 3% of the time

More Fivetran Competitors

Qlik Replicate vs Qlik Compose

Compared 10% of the time

AWS Database Migration Service vs Qlik Compose

Compared 9% of the time

SSIS vs Qlik Compose

Compared 8% of the time

Qlik Talend Cloud vs Qlik Compose

Compared 8% of the time

WhereScape RED vs Qlik Compose

Compared 6% of the time

More Qlik Compose Competitors

Product Reports

Buyer's Guide

Fivetran

August 2026

Download Fivetran product report

Buyer's Guide

Qlik Compose

July 2026

Download Qlik Compose product report

Also Known As

No data available

Compose, Attunity Compose

Overview

Fivetran offers a seamless, scalable data integration platform with strong connectors and real-time synchronization. Tailored for managing ETL workflows and integrating with DBT, it appeals to organizations seeking efficient data management.

Fivetran distinguishes itself through its intuitive interface and extensive scalability, allowing businesses to manage entire ETL workflows seamlessly. Its robust connectors ensure smooth integration with multiple data sources, while transparent logging and minimal coding requirements enhance accessibility. With real-time data synchronization, organizations benefit from up-to-date insights for analytics and engineering purposes. While some users point out areas for improvement like better documentation and expanded integration options, Fivetran remains a cherished tool for centralizing data in data warehouses such as supporting change data capture, migrations, and synchronizations from systems like Salesforce, NetSuite, and Google Analytics. Operating within an ELT framework, it empowers businesses to streamline data processes without complex extraction logic.

What are the key features of Fivetran?

Ease of Use: Intuitive platform minimizing setup complexity
Scalability: Adapt to growing data needs efficiently
Powerful Connectors: Seamless integration with diverse data sources
Real-Time Synchronization: Instant data updates supporting timely insights
DBT Integration: Simplifies transformations within ETL workflows
Transparent Logging: Provides clear visibility into operations

Which benefits can users expect in reviews?

Cost-Effective Scalability: Manage increased data without significant financial impact
Minimal Coding: Reduces technical barriers enhancing accessibility
Comprehensive Data Management: Centralizes diverse data streams effectively
Timely Analytics: Real-time updates foster actionable insights
Streamlined Workflow Management: Efficiently handles complex ETL processes

In industry-specific implementation, Fivetran is integral for businesses requiring robust data integration to power analytics. Retailers utilize it to consolidate e-commerce data for sales insights, while finance firms rely on its capabilities to merge financial data for reporting. In the tech sector, it supports engineering teams by providing a reliable data pipeline that fuels app development and performance monitoring.

Fivetran

Qlik Compose enhances data management with ETL capabilities, data integration with CDC, and real-time replication. Its intuitive interface enables easy data modeling and automation, supporting various database integrations.

Qlik Compose is designed for efficient data preparation, migration, and warehouse generation. It incorporates ETL functionalities and data integration with CDC, allowing users to effortlessly create data marts without code. Its automation features facilitate warehouse design while graphical representations and connectivity options increase versatility across multiple sources. Users value its stability, scalability, and the support provided, although improvements in ETL functionalities, performance for large datasets, and NoSQL integration are needed. The solution is widely used in business intelligence with tools like Qlik Replicate for real-time data replication and requires direct SQL for complex transformations.

What are the key features of Qlik Compose?

ETL Capabilities: Simplifies data extraction, transformation, and loading
Data Integration with CDC: Enables real-time data replication
Intuitive Interface: Facilitates easy data modeling and automation
Drag-and-Drop Functionality: Streamlines data task management
Auto-Mapping: Enhances integration of multiple data sources
No-Code Data Marts Creation: Reduces dependency on technical skills

What benefits should users consider in the reviews?

Stability and Scalability: Reliable functioning for growing data needs
Technical Support: Availability of assistance for troubleshooting
Real-Time Replication Capabilities: Efficient data processing and analytics
Low-Code Development: Simplifies complex data handling processes

In industries, Qlik Compose is implemented for enhancing data preparation, migration, and warehousing. It is used in small projects or straightforward data integration tasks and supports business intelligence efforts by offering low-code capabilities, enabling companies to deliver tailored analytics solutions efficiently.

Qlik

Sample Customers

Autodesk, Condé Nast, JetBlue, Morgan Stanley, OpenAI, LVMH, Pfizer, Verizon, SpotifyNational Australia Bank, Saks, Cemex, Okta, Dropbox, Pitney Bowes, World Fuel Services,Lufthansa, AutoZone, ASICS, ASOS, Coupa, Databricks, Hermes, New Relic, Intercom,Canva, Honeywell, Square, DocuSign, Nandos, Oldcastle Infrastructure

Poly-Wood

Buyer's Guide

Fivetran vs. Qlik Compose

August 2026

Free Report: Fivetran vs. Qlik Compose

Find out what your peers are saying about Fivetran vs. Qlik Compose and other solutions. Updated: August 2026.

DOWNLOAD NOW

908,800 professionals have used our research since 2012.

See our Fivetran vs. Qlik Compose report.

See our list of best Data Integration vendors and best Cloud Data Integration vendors.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.