Fivetran vs Qlik Compose comparison

Fivetran and Qlik are both solutions in the Data Integration category. Fivetran is ranked #12 with an average rating of 8.0, while Qlik is ranked #38 with an average rating of 7.0. Fivetran holds a 2.0% mindshare in DI, compared to Qlik’s 1.0% mindshare. Additionally, 90% of Fivetran users are willing to recommend the solution, compared to 81% of Qlik users who would recommend it.

Fivetran

Read 28 Fivetran reviews

3,915 Views
2,349 Comparison Views

90% willing to recommend

Qlik Compose

Read 12 Qlik Compose reviews

1,345 Views
1,157 Comparison Views

81% willing to recommend

Fivetran

Qlik Compose

Comparison Buyer's Guide

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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: September 2025).

Buyer's Guide

Fivetran vs. Qlik Compose

September 2025

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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

12th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Replication (3rd), Cloud Data Integration (7th)

Qlik Compose

Ranking in Data Integration

38th

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Fivetran is 2.0%, down from 2.1% compared to the previous year. The mindshare of Qlik Compose is 1.0%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Fivetran	2.0%
Qlik Compose	1.0%
Other	97.0%

Data Integration

Featured Reviews

Vigneswar Jeyaraj

Manager at InfoCepts

Real-time data replication and integration streamline processes and enhance productivity

The most valuable feature of Fivetran so far is the data replication. The real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline. Even when an error occurs, it automatically tries to solve the issue without manual interaction needed. The effectiveness of Fivetran's pre-built connectors in enhancing my customer's productivity is significant because everything is easily configurable. The documentation is very clear, so there's no difficulty in finding the necessary steps. Everything is pre-documented. The pre-built connectors that are available are excellent. Most functionalities are covered, and in most cases, it works according to expectations.

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Sahil Taneja

Principal Consultant/Manager at Tenzing

Easy matching and reconciliation of data

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.

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 simplicity and scalability are the strongest features of Fivetran."

"The most valuable feature of Fivetran so far is the data replication; the real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline."

"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."

"Fivetran is an easy-to-deploy solution for organizations looking at integrating a wide variety of data sources."

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

"The solution is stable. We've never faced any stability issues."

"The simplicity of the solution is its valuable feature."

"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."

More Fivetran pros

"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 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."

"I have found it to be a very good, stable, and strong product."

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

"Qlik Compose is good enough. It is user-friendly and intuitive."

"It can scale."

More Qlik Compose pros

Cons

"It should have a few more monitoring functionalities."

"An in-line data quality checking capability is missing"

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

"We use a separate tool for "reverse ETL", which is the opposite of what Fivetran does; it pushes data from your data warehouse back out to business applications. If Fivetran pulls data from those same applications, they should also enable users to push it back. I would love to do both ETL and reverse ETL in the same tool."

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

"In our case, we ultimately did not end up using Fivetran because we were able to do custom connects at a lower cost compared to Fivetran. From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option."

"The biggest area for improvement is in customization, particularly in how Fivetran socializes its tools."

"I would like to see an improvement in the support offered by Fivetran."

More Fivetran cons

"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."

"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."

"There could be more customization options."

"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."

"There is some scope for improvement around the documentation, and a better UI would definitely help."

"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."

"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."

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

More Qlik Compose cons

Pricing and Cost Advice

"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."

"The licensing costs are extremely high for the usage of somebody who has one GB or two GB of usage per day for real-time traffic. There are many other players in the market which are similarly priced or competitively priced. On average per month, it used to come around 12,000-15,000 USD, which is very high."

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

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

"I would say they're a little bit on the expensive side, and their contract process is not particularly good, but there is a lot of potential flexibility."

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

"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."

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."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

12%

Manufacturing Company

11%

Retailer

Financial Services Firm

16%

Government

10%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
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...

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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 ...

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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

What do you like most about Qlik Compose?

The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities.

See all answers

What is your experience regarding pricing and costs for Qlik Compose?

While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us.

See all answers

Comparisons

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Compared 8% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Fivetran

Compared 6% of the time

Confluent vs Fivetran

Compared 4% of the time

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Qlik Replicate vs Qlik Compose

Compared 34% of the time

Palantir Foundry vs Qlik Compose

Compared 14% of the time

Talend Open Studio vs Qlik Compose

Compared 13% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Compose

Compared 10% of the time

Denodo vs Qlik Compose

Compared 6% of the time

More Qlik Compose Competitors

Product Reports

Buyer's Guide

Fivetran

October 2025

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Buyer's Guide

Qlik Compose

September 2025

Download Qlik Compose product report

Also Known As

No data available

Compose, Attunity Compose

Overview

Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com

Fivetran

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.

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

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

September 2025

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