Azure Data Factory vs Qlik Replicate comparison

Microsoft and Qlik are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.1, while Qlik is ranked #14 with an average rating of 8.3. Microsoft holds a 10.8% mindshare in DI, compared to Qlik’s 3.6% 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 89 Azure Data Factory reviews

20,655 Views
16,367 Comparison Views

92% willing to recommend

Qlik Replicate

Read 16 Qlik Replicate reviews

4,490 Views
3,809 Comparison Views

100% willing to recommend

Azure Data Factory

Qlik Replicate

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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: January 2025).

Buyer's Guide

Azure Data Factory vs. Qlik Replicate

January 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

Azure Data Factory

Ranking in Data Integration

1st

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (3rd)

Qlik Replicate

Ranking in Data Integration

14th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2025, in the Data Integration category, the mindshare of Azure Data Factory is 10.8%, down from 13.4% compared to the previous year. The mindshare of Qlik Replicate is 3.6%, up from 3.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

Facilitates seamless data pipeline creation with good analytics and and thorough monitoring

Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.

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KrishnaBaddam

Presales Manager at Artha Solutions

Lightweight tool, ensures that data is replicated across different systems and simplify complex tasks such as defining relationships

Qlik Compose is something that will automate user's overall data modernization. Here data modernization includes data modeling, ETL jobs, etc. But the advantage is users can automate the overall process of data engineering and data modeling through Qlik Compose. I think that's useful when users are able to manage 60% of the workload automated. That will be very useful. That's fantastic. Replicate does not have a great AI capability. AI capabilities are present in Qlik Sense. Qlik Replicate is a very light tool. It is only meant to capture data from the log files, get the data, and transfer it, read that table structure, create the table structure, and transfer the data whenever there is a change. So, it basically integrates with the kernel of the operating system. The way it works is that these replicate tools will integrate with the kernel of the operating system, and they will access the redo log files of the database. The redo log should have access to all the files of the structure of the schema, too. So, using that technique, they redo all the data structures, create a similar structure, and replicate the structure in the target schema, table, and database. After that is done, it will start tracing the instances that are happening. For example, if data is inserted into the table, then an insert is fired on the statement on the table. So, that particular insert is captured. And based on that insert statement, it will pull the SQL query and say, "Okay, there is an insert. I need to get that data." It will get the data from the redo log itself rather than going to a database. Then, it will just pass that transaction into the target system, where it will just insert the data. And this happens instantaneously, within a microsecond. So, if there is an insert, an update, or a delete, everything is transferred immediately. It is picked from the redo log because it comes to the redo log, and then the redo log sends it to Qlik Replicate and Replicate to the target system on which Replicate is installed.

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Quotes from Members

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

Pros

"The function of the solution is great."

"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."

"Its integrability with the rest of the activities on Azure is most valuable."

"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."

"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."

"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."

"It makes it easy to collect data from different sources."

"I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."

More Azure Data Factory pros

"Great with replicating and updating records."

"The most useful functions of Qlik Replicate are the data manipulation to transformations."

"A valuable feature of Qlik Replicate is that you do not need ETL. It's easy to use—you choose two systems and it automatically replicates them. Even if there is no CDC available, if you insert it and update it, and there is nothing to find out, then you can use Qlik Replicate. It's a good product."

"Qlik Replicate's ability to correctly map and replicate data, especially when converting complex fields like packed decimal fields into integers, stands out."

"The most valuable features of Qlik Replicate are its CDC performance and trigger functions. CDC feature is important to the financial industry."

"From a technical perspective, this is an excellent product."

"We use Qlik Replicate to change data capture of databases in production environments."

"Support has been great."

More Qlik Replicate pros

Cons

"There are limitations when processing more than one GD file."

"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."

"The product's technical support has certain shortcomings, making it an area where improvements are required."

"Data Factory could be improved in terms of data transformations by adding more metadata extractions."

"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."

"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."

"Some of the optimization techniques are not scalable."

"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."

More Azure Data Factory cons

"The disadvantage is people are not going for this license because it is not marketed properly."

"We'd like better connectivity."

"The UI and data version control can be improved."

"It would be better if the solution’s pricing were more obvious."

"In the next release, I would like to see closer integration with data catalyst."

"In various scenarios, an important consideration is when we encounter issues and Qlik Replicate suggests reloading a specific table. If we face any problems or encounter errors with that table, it becomes necessary to make a change in Qlik Replicate. Performing a full reload every time is not feasible or practical. Instead, we should identify the specific issues and address them without repeating the entire reloading process. Based on this approach, we can investigate and resolve the problem by performing targeted loads from the source itself. This change aligns with my perspective and is something I would like to implement."

"This product could be improved by providing more insight regarding errors. One of our customers that uses Qlik Replicate has had an issue. We tried to debug it, but we could not trace the error message. The infrastructure site should give us more insight about errors. Qlik Replicate is not a business solution, it's an IT solution. The reporting tools and bug site should be improved."

"The solution's flexibility to work with APIs should also be improved since it is very weak in working with APIs."

More Qlik Replicate cons

Pricing and Cost Advice

"The pricing model is based on usage and is not cheap."

"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."

"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

"I would rate Data Factory's pricing nine out of ten."

"The solution is cheap."

"The pricing is a bit on the higher end."

More Azure Data Factory pricing and cost advice

"Qlik Replicate is mainly suited for large companies. However, it is too costly for small businesses. Its pricing is high."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Qlik Replicate's pricing a nine out of ten."

"Unlike Azure, where you pay based on consumption, Qlik Replicate seems to charge per endpoint."

"Overall, Qlik is an expensive solution. You need to pay for all additional features that you would like to use."

"Qlik Replicate is not expensive, compared to GoldenGate."

"Pricing for this solution is very reasonable."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Financial Services Firm

19%

Computer Software Company

12%

Manufacturing Company

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 do you like most about Qlik Replicate?

The main valuable feature is its real-time change data capture (CDC) capabilities, which process data with minimal latency. There is not much delay. It also performs well with batch-wise data appli...

See all answers

What needs improvement with Qlik Replicate?

Some features on the graphical user interface are clunky. Accessing certain functions like replicating from a table after a specific date requires obscure key combinations, which could be made more...

See all answers

What is your primary use case for Qlik Replicate?

The primary use case is using Qlik Replicate to interface with DB2, allowing for efficient data replication from various sources into a common one or other destinations. It is particularly benefici...

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 13% of the time

Snowflake vs Azure Data Factory

Compared 10% of the time

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

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

Denodo vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Oracle GoldenGate vs Qlik Replicate

Compared 18% of the time

AWS Database Migration Service vs Qlik Replicate

Compared 17% of the time

Qlik Compose vs Qlik Replicate

Compared 12% of the time

Fivetran vs Qlik Replicate

Compared 7% of the time

SSIS vs Qlik Replicate

Compared 5% of the time

More Qlik Replicate Competitors

Product Reports

Buyer's Guide

Azure Data Factory

January 2025

Download Azure Data Factory product report

Buyer's Guide

Qlik Replicate

January 2025

Download Qlik Replicate product report

Also Known As

No data available

Replicate, Qlik Replicate

Learn More

Microsoft

Qlik

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.

Qlik Replicate is a data replication solution for replicating data from one source database to another for business intelligence software. It offers data manipulation and transformations, replication without impacting source databases, and ease of use without needing ETL. The solution is stable and user-friendly, with detailed logging and support.

Qlik Replicate has improved the organization by allowing each team to replicate their data into a single-source data location. The most important feature of Qlik Replicate is its ability to replicate and update records without needing a programmer.

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

January 2025

Free Report: Azure Data Factory vs. Qlik Replicate

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