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 8.0, while Qlik is ranked #16 with an average rating of 8.1. Microsoft holds a 11.1% mindshare in DI, compared to Qlik’s 3.4% mindshare. Additionally, 91% of Microsoft users are willing to recommend the solution, compared to 100% of Qlik users who would recommend it.

Azure Data Factory

Read 85 Azure Data Factory reviews

23,087 Views
18,331 Comparison Views

91% willing to recommend

Qlik Replicate

Read 15 Qlik Replicate reviews

4,979 Views
4,167 Comparison Views

100% willing to recommend

Azure Data Factory

Qlik Replicate

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and Qlik Replicate based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Azure Data Factory vs. Qlik Replicate Report (Updated: October 2024).

Buyer's Guide

Azure Data Factory vs. Qlik Replicate

October 2024

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Helped 814,649 peers since 2012

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

1st

Average Rating

8.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (3rd)

Qlik Replicate

Ranking in Data Integration

16th

Average Rating

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.1%, down from 13.3% compared to the previous year. The mindshare of Qlik Replicate is 3.4%, up from 3.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Camilo Velasco

CTO at Sosty

Oct 27, 2022

No deployment cost, quick implementation, pay only for the processing time and data

The primary use case of this solution is to extract ETLS, transform and load data, and organize database synchronization The most valuable feature of this solution is the data flow, which is the same SQL server in important service, integration services, which is a very robust and powerful tool…

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KrishnaBaddam

Presales Manager at Artha Solutions

Aug 28, 2024

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 data copy template is a valuable feature."

"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."

"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."

"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."

"It is easy to integrate."

"It is a complete ETL Solution."

"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."

"Azure Data Factory became more user-friendly when data-flows were introduced."

More Azure Data Factory pros

"Support has been great."

"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."

"It enables us to transform data at the latest stage rather than in ETL loads, so it's more ELT which is one of the advantages. It is also in near real-time, which brings significant advantage for our embedded analytics approach."

"A pretty good series of connectors is one of the best features of Qlik Replicate."

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

"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 applications."

"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."

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

More Qlik Replicate pros

Cons

"Some of the optimization techniques are not scalable."

"When we initiated the cluster, it took some time to start the process."

"The one element of the solution that we have used and could be improved is the user interface."

"I would like to be informed about the changes ahead of time, so we are aware of what's coming."

"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."

"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."

"I would like to see this time travel feature in Snowflake added to Azure Data Factory."

"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."

More Azure Data Factory cons

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

"Support for this product is not great. It needs to be improved."

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

"We'd like better connectivity."

"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."

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

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

"Some features can also be overly dependent on each other. So, there is room for improvement."

More Qlik Replicate cons

Pricing and Cost Advice

"The price you pay is determined by how much you use it."

"I don't see a cost; it appears to be included in general support."

"The price is fair."

"Pricing appears to be reasonable in my opinion."

"Pricing is comparable, it's somewhere in the middle."

"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."

"ADF is cheaper compared to AWS."

"This is a cost-effective solution."

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."

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

"Pricing for this solution is very reasonable."

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

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

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

13%

Manufacturing Company

Healthcare Company

Financial Services Firm

19%

Computer Software Company

13%

Manufacturing Company

12%

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...

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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?

The disadvantage is, I think, people are not going for this license because it is not marketed properly. Qlik was not promoting it because Talend was acquired at the same time. So Talend has become...

See all answers

What is your primary use case for Qlik Replicate?

Qlik Compose is basically an integration tool, which has been acquired by Qlik from an Israeli IT company. So that Qlik can become leaders or can jump into the integration space. So, there are two ...

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 14% of the time

Snowflake vs Azure Data Factory

Compared 11% 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 2% of the time

More Azure Data Factory Competitors

AWS Database Migration Service vs Qlik Replicate

Compared 18% of the time

Oracle GoldenGate vs Qlik Replicate

Compared 18% of the time

Qlik Compose vs Qlik Replicate

Compared 13% 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

November 2024

Download Azure Data Factory product report

Buyer's Guide

Qlik Replicate

October 2024

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

October 2024

Free Report: Azure Data Factory vs. Qlik Replicate

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