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, 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

23,087 Views
18,331 Comparison Views

92% 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

Download the complete report

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Categories and Ranking

Azure Data Factory

Ranking in Data Integration

1st

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (3rd)

Qlik Replicate

Ranking in Data Integration

16th

Average Rating

8.2

Reviews Sentiment

8.4

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

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

"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."

"It is easy to deploy workflows and schedule jobs."

"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."

"We use the solution to move data from on-premises to the cloud."

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

"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."

"Powerful but easy-to-use and intuitive."

"The data copy template is a valuable feature."

More Azure Data Factory pros

"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."

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

"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."

"Great with replicating and updating records."

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

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

More Qlik Replicate pros

Cons

"Data Factory's monitorability could be better."

"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 setup and configuration process could be simplified."

"The support and the documentation can be improved."

"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."

"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."

"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."

"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."

More Azure Data Factory cons

"The product should improve its licensing limitation."

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

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

"Support-wise, this solution is in need of improvement."

"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."

"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."

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

More Qlik Replicate cons

Pricing and Cost Advice

"The solution's pricing is competitive."

"I would not say that this product is overly expensive."

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

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

"Our licensing fees are approximately 15,000 ($150 USD) per month."

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

"Product is priced at the market standard."

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

More Azure Data Factory pricing and cost advice

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

"Pricing for this solution is very reasonable."

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

"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."

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

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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

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...

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...

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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

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 13% of the time

Fivetran vs Qlik Replicate

Compared 7% of the time

SSIS vs Qlik Replicate

Compared 4% 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

November 2024

Download Qlik Replicate product report

Also Known As

No data available

Replicate, Qlik Replicate

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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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