Azure Data Factory vs Qlik Replicate comparison

Microsoft and Qlik are both solutions in the Data Integration category. Microsoft is ranked #4 with an average rating of 8.1, while Qlik is ranked #24 with an average rating of 8.5. Microsoft holds a 2.3% mindshare in DI, compared to Qlik’s 1.3% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Qlik users who would recommend it.

Azure Data Factory

Read 96 Azure Data Factory reviews

12,975 Views
9,083 Comparison Views

92% willing to recommend

Qlik Replicate

Read 18 Qlik Replicate reviews

4,804 Views
3,651 Comparison Views

100% willing to recommend

Azure Data Factory

Qlik Replicate

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Qlik Replicate and Azure Data Factory compete in the data integration and ETL market. Based on the comparison, Azure Data Factory holds a slight advantage due to its comprehensive transformation features and seamless integration with Azure services.

Features: Qlik Replicate offers real-time change data capture, broad connector support, and efficient data manipulation. Azure Data Factory provides extensive transformation features, a complete set of connectors, and a user-friendly interface.

Room for Improvement: Qlik Replicate could improve user-friendliness, API compatibility, and licensing simplicity. Azure Data Factory could enhance documentation, tool integration, and address its pricing complexity.

Ease of Deployment and Customer Service: Qlik Replicate supports hybrid, public cloud, and robust on-premises deployment but requires improvement in customer service responsiveness. Azure Data Factory supports hybrid and public cloud deployment, benefiting from Microsoft's robust support infrastructure but could improve documentation clarity.

Pricing and ROI: Qlik Replicate is priced per endpoint, advantageous for large-scale operations but challenging for small businesses. Azure Data Factory's pay-as-you-go model offers flexibility but lacks cost transparency. Both deliver significant ROI by reducing manual workload and operational costs.

To learn more, read our detailed Azure Data Factory vs. Qlik Replicate Report (Updated: June 2026).

Buyer's Guide

Azure Data Factory vs. Qlik Replicate

June 2026

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Helped 900,196 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:

ROI

Sentiment score

5.5

Users praise Azure Data Factory for improved ROI through cost savings, enhanced integration, and increased operational efficiency and satisfaction.

Sentiment score

7.1

Qlik Replicate saves time and costs by automating reporting, reducing database load, and enhancing decision-making with efficient data replication.

Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.

Deena Thayalan

Data Engineer at Vthinktechnologies

For more quotes and insights, download the Azure Data Factory report

I conducted a cost comparison with the AWS service provider, and this option is much cheaper than the Kinesis service offered by AWS.

SivanandamKrishnan

Director of analytics at Analytics Aura

Customers have seen ROI with Qlik Replicate because they get their data for analysis faster, enabling quicker decision-making compared to traditional data sourcing methods.

Shraddha Waghulde

Solution Architect at Predoole Analytics

For more quotes and insights, download the Qlik Replicate report

Customer Service

Sentiment score

6.3

Azure Data Factory support is mixed; praised for responsiveness and documentation, but some find it slow and inadequate.

Sentiment score

5.8

Qlik Replicate's customer service is mixed, with delays and technical challenges, but proactive support and language assistance help.

On a scale of one to ten, I would rate the technical support as nine.

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees

The technical support from Microsoft is rated an eight out of ten.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

The technical support is responsive and helpful

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

For more quotes and insights, download the Azure Data Factory report

Even priority tickets, which should be resolved in minutes, can take days.

SivanandamKrishnan

Director of analytics at Analytics Aura

Support response times could be improved as there are sometimes delays in receiving replies to support cases.

Shraddha Waghulde

Solution Architect at Predoole Analytics

For more quotes and insights, download the Qlik Replicate report

Scalability Issues

Sentiment score

7.4

Azure Data Factory is praised for its scalability and flexibility, despite some integration issues in older tiers.

Sentiment score

6.9

Qlik Replicate scales well for change data capture with proper configuration, requiring effort for optimal performance and handling increased demands.

Azure Data Factory is highly scalable.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

I did not experience scalability issues.

SubrataDey

Principal Data Engineer at Oracle

For more quotes and insights, download the Azure Data Factory report

The system could be scaled to include more sources and functions.

Shraddha Waghulde

Solution Architect at Predoole Analytics

For more quotes and insights, download the Qlik Replicate report

Stability Issues

Sentiment score

7.7

Azure Data Factory is stable and dependable, despite occasional connection issues and challenges with SQL query optimization.

Sentiment score

8.5

Qlik Replicate is highly stable and reliable, efficiently managing large data volumes with exceptional performance and minimal latency.

The solution has a high level of stability, roughly a nine out of ten.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

I have been using Azure Data Factory for a very long time, and I did not find too many issues.

SubrataDey

Principal Data Engineer at Oracle

For more quotes and insights, download the Azure Data Factory report

No quotes available

For more quotes and insights, download the Qlik Replicate report

Room For Improvement

Azure Data Factory users experience setup complexity, connectivity issues, and seek improved performance, automation, and integration with other platforms.

Qlik Replicate encounters challenges in usability, performance, and connectivity, needing improvements in error handling, support, and integration.

The ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features.

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees

Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

For more quotes and insights, download the Azure Data Factory report

It is a core-based licensing, which, especially in the banking industry, results in the system capacity being utilized up to a maximum of 60%.

SivanandamKrishnan

Director of analytics at Analytics Aura

Qlik Replicate could be improved in the next release by incorporating more monitoring options to monitor the logs.

Shraddha Waghulde

Solution Architect at Predoole Analytics

For more quotes and insights, download the Qlik Replicate report

Setup Cost

Azure Data Factory provides cost-effective, usage-based pricing suitable for various budgets, with expenses depending on data volume and services.

Qlik Replicate offers competitive, negotiable pricing appealing to enterprise users, especially larger companies, but may be costly for small businesses.

The pricing is cost-effective.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

It is considered cost-effective.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

For more quotes and insights, download the Azure Data Factory report

Licensing is calculated based on the machine's total capacity rather than actual usage.

SivanandamKrishnan

Director of analytics at Analytics Aura

For Qlik Replicate, the setup cost includes the requirement of a server, which represents the hardware cost that must be covered.

Shraddha Waghulde

Solution Architect at Predoole Analytics

For more quotes and insights, download the Qlik Replicate report

Valuable Features

Azure Data Factory offers scalable ETL solutions with user-friendly interface, seamless Azure integration, robust orchestration, and effective dataset handling.

Qlik Replicate offers efficient real-time data handling and CDC, featuring extensive connectors and an intuitive interface for seamless integration.

It connects to different sources out-of-the-box, making integration much easier.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.

Deena Thayalan

Data Engineer at Vthinktechnologies

Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.

KandaswamyMuthukrishnan

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

For more quotes and insights, download the Azure Data Factory report

The most valuable feature of Qlik Replicate is their change data capture feature.

Shraddha Waghulde

Solution Architect at Predoole Analytics

Data retrieved from the system can be pushed to multiple places, supporting various divisions such as marketing, loans, and others.

SivanandamKrishnan

Director of analytics at Analytics Aura

For more quotes and insights, download the Qlik Replicate report

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

4th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (5th)

Qlik Replicate

Ranking in Data Integration

24th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.3%, down from 8.1% compared to the previous year. The mindshare of Qlik Replicate is 1.3%, down from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.3%
Qlik Replicate	1.3%
Other	96.4%

Data Integration

Featured Reviews

KandaswamyMuthukrishnan

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

Integrates diverse data sources and streamlines ETL processes effectively

Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.

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Shraddha Waghulde

Solution Architect at Predoole Analytics

Real-time data synchronization faces challenges with monitoring and affordability

The user-friendly interface in Qlik Replicate simplifies configuration and management of replication tasks because it is based on GUI, and users don't have to write any scripts. It is entirely drag and drop functionality. Even with zero knowledge of scripting, users can effectively use Qlik Replicate. The most valuable feature of Qlik Replicate is their change data capture feature. As soon as data is entered into the source, it gets captured at target locations. This occurs in near real-time, with replication happening within seconds at the target location. Additionally, whatever operations are performed at the source, whether adding data, deleting data, or updating anything, it gets replicated at target locations. It functions as data injection from source to target, ensuring all operations performed on the source system are replicated on target systems.

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

Manufacturing Company

Construction Company

Financial Services Firm

15%

Manufacturing Company

11%

Insurance Company

10%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	63

By reviewers
Company Size	Count
Small Business	9
Large Enterprise	12

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Azure Data Factory compare with Informatica PowerCenter?

Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...

See all answers

How does Azure Data Factory compare with Informatica Cloud Data Integration?

Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...

See all answers

What needs improvement with Qlik Replicate?

In terms of handling diverse data sources, Qlik Replicate does exhibit certain shortcomings.Other areas of Qlik Replicate that could be improved include its ability to serve as a single point tool,...

See all answers

What is your primary use case for Qlik Replicate?

My usual use cases for Qlik Replicate involve my previous organization and my current organization. I can provide my current experience. As an Australian energy provider, we have a lot of operation...

See all answers

What advice do you have for others considering Qlik Replicate?

The usefulness of the self-service interface of Qlik Replicate lies in its ability for users to independently access fresh data from the data lake or downstream SQL systems or ODS systems without n...

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Comparisons

Snowflake vs Azure Data Factory

Compared 5% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Oracle GoldenGate vs Qlik Replicate

Compared 7% of the time

AWS Database Migration Service vs Qlik Replicate

Compared 6% of the time

SSIS vs Qlik Replicate

Compared 5% of the time

SharePlex vs Qlik Replicate

Compared 4% of the time

Qlik Compose vs Qlik Replicate

Compared 4% of the time

More Qlik Replicate Competitors

Product Reports

Buyer's Guide

Azure Data Factory

June 2026

Download Azure Data Factory product report

Buyer's Guide

Qlik Replicate

May 2026

Download Qlik Replicate product report

Also Known As

No data available

Replicate, Qlik Replicate

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

Qlik Replicate offers log-based change data capture, supporting real-time data updates without affecting source databases. It manages schema changes automatically and ensures seamless data distribution. The platform is user-friendly, enables late-stage transformation, and supports incremental replication and real-time analytics.

Qlik Replicate is known for efficiently capturing data changes with minimal impact on source databases. Its log-based change data capture capabilities ensure quick propagation of updates in real-time while automatically handling schema changes, facilitating ease in data management. The system's seamless integration across endpoints and a user-friendly interface make it an invaluable tool for incremental replication and real-time analytics. Despite some challenges like UI freezing, complex licensing, and error handling, it is instrumental in enhancing business growth and operational efficiency. Users continuously seek improvements in error insights, data compression, and expanded API integration to better serve diverse data sources and platforms.

What are the key features of Qlik Replicate?

Log-Based Change Data Capture: Captures data changes in real-time without heavy loads.
Automatic Schema Handling: Manages schema changes seamlessly.
Platform Integration: Integrates well with platforms like AWS and Snowflake.
User-Friendly Interface: Offers a simple and intuitive interface.
Real-Time Analytics: Enables immediate data insights for business growth.

What benefits should users expect from Qlik Replicate?

Improved Data Accessibility: Enhances access to data for decision-making.
Automation in Data Modeling: Automates repetitive tasks, saving time.
Efficient Change Data Capture: Reduces downtime and increases efficiency.
Streamlined Data Pipelines: Facilitates smoother data transfers.

Qlik Replicate is used across industries such as energy, banking, and semiconductors to modernize analytics environments and streamline data flows. It excels in data migration from systems like SAP HANA and Oracle to environments like AWS, significantly reducing downtime and boosting analytics capabilities. Organizations report advantages such as enhanced data accessibility and automated data modeling, which facilitates efficient change data capture and operational effectiveness.

Qlik

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa

American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare

Buyer's Guide

Azure Data Factory vs. Qlik Replicate

June 2026

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