Compare Azure Data Factory vs. Qlik Compose

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Azure Data Factory Logo
18,149 views|14,437 comparisons
Qlik Compose Logo
1,765 views|1,441 comparisons
Most Helpful Review
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: January 2021.
456,812 professionals have used our research since 2012.
Quotes From Members

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

Pros
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily.""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.""The solution has a good interface and the integration with GitHub is very useful.""The user interface is very good. It makes me feel very comfortable when I am using the tool.""From what we have seen so far, the solution seems very stable.""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.""The most valuable features are data transformations.""Powerful but easy-to-use and intuitive."

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"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."

More Qlik Compose Pros »

Cons
"The thing we missed most was data update, but this is now available as of two weeks ago.""In the next release, it's important that some sort of scheduler for running tasks is added.""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.""The solution needs to integrate more with other providers and should have a closer integration with Oracle BI.""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.""The speed and performance need to be improved.""The product could provide more ways to import and export data.""The Microsoft documentation is too complicated."

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"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."

More Qlik Compose Cons »

Pricing and Cost Advice
"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.""Our licensing fees are approximately 15,000 ($150 USD) per month.""This is a cost-effective solution.""The price you pay is determined by how much you use it.""Understanding the pricing model for Data Factory is quite complex.""I would not say that this product is overly expensive."

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Questions from the Community
Top Answer: AWS Glue and Azure Data factory for ELT best performance cloud services.
Top Answer: There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for… more »
Ranking
4th
Views
18,149
Comparisons
14,437
Reviews
18
Average Words per Review
471
Rating
7.8
30th
Views
1,765
Comparisons
1,441
Reviews
1
Average Words per Review
989
Rating
6.0
Popular Comparisons
Compared 40% of the time.
Compared 9% of the time.
Compared 8% of the time.
Compared 6% of the time.
Also Known As
Compose, Attunity Compose
Learn
Microsoft
Qlik
Overview

Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.

Qlik Compose comes in two offerings: Qlik Compose for Data Warehouses and Qlik Compose for Data Lakes. Qlik Compose for Data Warehouse automates and streamlines the design, creation, loading, management, and update of data warehouses including Amazon Redshift, Azure Synapse, Google BigQuery, Snowflake and Oracle. Qlik Compose for Data Lakes automates the process of providing continuously updated, accurate, and trusted data to big data platforms like Apache Hadoop, Cloudera Customer Data Platform and Databricks Unified Data Analytics Platform.

Offer
Learn more about Azure Data Factory
Learn more about Qlik Compose
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid Poly-Wood
Top Industries
REVIEWERS
Insurance Company22%
Computer Software Company22%
Healthcare Company11%
Logistics Company11%
VISITORS READING REVIEWS
Computer Software Company41%
Comms Service Provider13%
Energy/Utilities Company6%
Insurance Company5%
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider13%
Energy/Utilities Company11%
Manufacturing Company6%
Company Size
REVIEWERS
Small Business26%
Midsize Enterprise22%
Large Enterprise52%
No Data Available
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: January 2021.
456,812 professionals have used our research since 2012.

Azure Data Factory is ranked 4th in Data Integration Tools with 18 reviews while Qlik Compose is ranked 30th in Data Integration Tools with 1 review. Azure Data Factory is rated 7.8, while Qlik Compose is rated 6.0. The top reviewer of Azure Data Factory writes "Comprehensive and user-friendly". On the other hand, the top reviewer of Qlik Compose writes "Excellent data integration but needs better scheduling and monitoring features". Azure Data Factory is most compared with Informatica PowerCenter, Talend Open Studio, Informatica Cloud Data Integration, IBM InfoSphere DataStage and SAP Data Services, whereas Qlik Compose is most compared with Qlik Replicate, Palantir Foundry, WhereScape RED, Informatica PowerCenter and SSIS.

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