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 #15 with an average rating of 8.3. Microsoft holds a 11.0% mindshare in DI, compared to Qlik’s 3.5% 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 86 Azure Data Factory reviews

21,615 Views
17,232 Comparison Views

92% willing to recommend

Qlik Replicate

Read 16 Qlik Replicate reviews

4,729 Views
3,970 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: December 2024).

Buyer's Guide

Azure Data Factory vs. Qlik Replicate

December 2024

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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

15th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.0%, down from 13.3% compared to the previous year. The mindshare of Qlik Replicate is 3.5%, up from 3.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Thulani David Mngadi

Data architect at Old Mutual

Data flow feature is valuable for data transformation tasks

The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem.

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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

"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."

"The function of the solution is great."

"Data Factory's best features are simplicity and flexibility."

"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."

"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."

"The best part of this product is the extraction, transformation, and load."

"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."

"The solution is okay."

More Azure Data Factory pros

"Support has been great."

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

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

"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."

"Great with replicating and updating records."

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

"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."

"It's very user-friendly when it comes to settings and configuration. It also offers very detailed logging about warnings and errors."

More Qlik Replicate pros

Cons

"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."

"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."

"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."

"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."

"We require Azure Data Factory to be able to connect to Google Analytics."

"It would be better if it had machine learning capabilities."

"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."

"My only problem is the seamless connectivity with various other databases, for example, SAP."

More Azure Data Factory cons

"Some features on the graphical user interface are clunky."

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

"We would like to see more details in messages about errors with the system."

"We'd like better connectivity."

"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."

"When you remote into it the Qlik Replicate UI a lot of times it just freezes. We set up the EC2, to allow them to go to the server and click on the Replicate icon, it just opens up and just sits there. At that point, we have to go into the EC2 and then reboot the server. This should be fixed, it is frustrating."

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

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

More Qlik Replicate cons

Pricing and Cost Advice

"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."

"The licensing cost is included in the Synapse."

"Product is priced at the market standard."

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

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

"The solution's pricing is competitive."

"It's not particularly expensive."

"Data Factory is expensive."

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."

"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."

"Pricing for this solution is very reasonable."

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

"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

12%

Manufacturing Company

Healthcare Company

Financial Services Firm

19%

Computer Software Company

12%

Manufacturing Company

11%

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

FME 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 18% of the time

Qlik Compose vs Qlik Replicate

Compared 12% of the time

Fivetran vs Qlik Replicate

Compared 8% of the time

SSIS vs Qlik Replicate

Compared 5% of the time

More Qlik Replicate Competitors

Product Reports

Buyer's Guide

Azure Data Factory

December 2024

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Buyer's Guide

Qlik Replicate

December 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

December 2024

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