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Fivetran vs Qlik Talend Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 18, 2025

Review summaries and opinions

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

ROI

Sentiment score
6.6
Fivetran offers significant time and cost-saving benefits, simplifying data integration and maintenance while reducing reliance on data engineers.
Sentiment score
6.1
Qlik Talend Cloud users save time, reduce costs, and see quick ROI with improved efficiency and significant ETL process reduction.
Fivetran provides time savings, cost reductions, and improvements in data quality.
Team Lead Data Engineer at Data Pilot
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
Lead Data Engineer at Sensilab
It has helped us save a lot of time by automating repetitive data processes and reducing manual interventions.
IT Consultant at a tech services company with 201-500 employees
We achieved around 20% to 30% time savings in the ETL process, reduced operational errors, and improved pipeline stability.
Data & Analytics Engineer at PicPay
We actually achieved the first 18 months worth of work in the first six months.
Enterprise Architect at Waikato Regional Council
 

Customer Service

Sentiment score
6.0
Fivetran customer support is efficient yet sometimes slow, rated 7-9, with calls for improved critical issue communication.
Sentiment score
7.0
Qlik Talend Cloud's customer service is friendly and responsive, yet improvements in complex cases and communication are needed.
If they could provide support more quickly, that would be great.
Manager at InfoCepts
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
Lead Data Engineer at Sensilab
Customer support from Fivetran is quite good; it's really nice and responsive.
Team Lead Data Engineer at Data Pilot
The support team is responsive when we raise issues, and they usually provide clear guidance or solutions.
IT Consultant at a tech services company with 201-500 employees
I would rate the technical support from Talend Data Quality as an 8 or 9.
Senior Consultant at a tech services company with 201-500 employees
The customer support for Talend Data Integration is very good; whenever I raise a ticket in the customer portal, I immediately receive an email, and follow-up communication is prompt.
Assistant Consultant at a tech vendor with 10,001+ employees
 

Scalability Issues

Sentiment score
7.1
Fivetran scales well for various businesses, accommodating data needs but can be costly and complex for smaller enterprises.
Sentiment score
7.0
Qlik Talend Cloud excels in scalability and cloud performance, effectively handling large data volumes with infrastructure and resource support.
Fivetran's scalability has been tested effectively, and it has been working well for our organization's growing data needs.
Team Lead Data Engineer at Data Pilot
By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.
IT Consultant at a tech services company with 201-500 employees
The scalability of Talend Data Integration is good; if it weren't scalable, it wouldn't be reliable.
Assistant Consultant at a tech vendor with 10,001+ employees
Its scalability is good, as Qlik Talend Cloud can handle large amounts of data and grow as needed, especially in cloud environments.
Data & Analytics Engineer at PicPay
 

Stability Issues

Sentiment score
8.0
Users generally express high satisfaction with Fivetran's stable reliability, despite occasional issues with API connections and custom setups.
Sentiment score
7.1
Qlik Talend Cloud is stable, highly rated, with minor bugs mainly due to external factors, not inherent flaws.
They have 99.9% accuracy on the data load and they maintain transparency.
Manager at InfoCepts
In my experience, Fivetran is stable with very few instances of downtime or reliability issues.
Team Lead Data Engineer at Data Pilot
During the duration of the time that we used Fivetran, it was highly stable.
Founder at a marketing services firm with 1-10 employees
We have not encountered many issues with remote engines, and the interfaces are properly developed.
Consultant en intelligence décisionnelle at VO2 Group
Once the jobs are properly designed and deployed, they run reliably without major issues.
IT Consultant at a tech services company with 201-500 employees
 

Room For Improvement

Fivetran needs improvements in connectors, real-time processing, user interface, pricing, support, documentation, and integration capabilities.
Qlik Talend Cloud needs enhanced stability, integration, support, and usability to overcome technical and performance challenges and improve functionality.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
Founder at a marketing services firm with 1-10 employees
I want more flexibility during ingestion, specifically for transformations needed beforehand.
Team Lead Data Engineer at Data Pilot
Fivetran could improve by adapting more for technical users and by providing more options for such users.
Lead Data Engineer at Sensilab
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
Enterprise Architect at Waikato Regional Council
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
IT Consultant at a tech services company with 201-500 employees
Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license.
Assistant Consultant at a tech vendor with 10,001+ employees
 

Setup Cost

Fivetran's pricing is high, favoring larger enterprises with discounts available; smaller companies may find it prohibitive.
Qlik Talend Cloud pricing varies, with potential cost-effectiveness, but complex licensing can lead to unexpected higher expenses.
Our current yearly contract for Fivetran is approximately $70,000.
Lead Data Engineer at Sensilab
My experience with Talend Data Integration's pricing, setup cost, and licensing is that it is a bit higher compared to other tools, making it not very affordable.
Assistant Consultant at a tech vendor with 10,001+ employees
The license cost has increased significantly, leading many companies to seek more profitable options in the market.
ETL developer at a tech vendor with 10,001+ employees
 

Valuable Features

Fivetran is valued for seamless data replication, user-friendly interface, scalability, and minimal coding, enabling efficient data handling.
Qlik Talend Cloud enhances real-time data integration with extensive connectors, advanced tools, and flexible, reusable data pipelines for efficiency.
The most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
Lead Data Engineer at Sensilab
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.
Manager at InfoCepts
The ability to seamlessly integrate with a large variety of data sources is valuable.
Founder at a marketing services firm with 1-10 employees
By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month.
IT Consultant at a tech services company with 201-500 employees
We perform profiling prior to data quality and post-data quality, and based on that, we determine how much it has improved to measure the efficiency of Talend Data Quality cleaning tools.
Senior Consultant at a tech services company with 201-500 employees
The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work.
Data & Analytics Engineer at PicPay
 

Categories and Ranking

Fivetran
Ranking in Data Integration
13th
Ranking in Cloud Data Integration
9th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Data Replication (3rd)
Qlik Talend Cloud
Ranking in Data Integration
9th
Ranking in Cloud Data Integration
7th
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
53
Ranking in other categories
Data Quality (3rd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (11th), Integration Platform as a Service (iPaaS) (9th)
 

Mindshare comparison

As of December 2025, in the Data Integration category, the mindshare of Fivetran is 1.8%, down from 2.1% compared to the previous year. The mindshare of Qlik Talend Cloud is 1.9%, down from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Qlik Talend Cloud1.9%
Fivetran1.8%
Other96.3%
Data Integration
 

Featured Reviews

Hafiz Usman - PeerSpot reviewer
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.
HJ
IT Consultant at a tech services company with 201-500 employees
Has automated recurring data flows and improved accuracy in reporting
The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.
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Top Industries

By visitors reading reviews
Computer Software Company
12%
Financial Services Firm
11%
Manufacturing Company
11%
Retailer
7%
Financial Services Firm
13%
Computer Software Company
11%
Comms Service Provider
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise7
Large Enterprise16
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise11
Large Enterprise18
 

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...
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 ...
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...
What do you like most about Talend Data Quality?
The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.
What needs improvement with Talend Data Quality?
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...
What is your primary use case for Talend Data Quality?
It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...
 

Also Known As

No data available
Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
 

Overview

 

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
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Fivetran vs. Qlik Talend Cloud and other solutions. Updated: December 2025.
879,259 professionals have used our research since 2012.