Azure Data Factory vs. Qlik Replicate

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Factory
Score 8.0 out of 10
N/A
Microsoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources using more than 80 natively built and maintenance-free connectors at no added cost. Focus on data—the serverless integration service does the rest.N/A
Qlik Replicate
Score 10.0 out of 10
N/A
Qlik Replicate enables organizations to accelerate data real-time replication, ingestion and streaming via change data capture, across a wide range of heterogeneous databases, data warehouses and data lake platforms.N/A
Pricing
Azure Data FactoryQlik Replicate
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data FactoryQlik Replicate
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeRequired
Additional Details
More Pricing Information
Community Pulse
Azure Data FactoryQlik Replicate
Considered Both Products
Azure Data Factory
Chose Azure Data Factory
Azure Data Factory is more of a universal pipeline. SAP BW is a tool offering good SAP connectivity but very limited third-party connectivity. The same is the case with BW4hana. Sap DataSphere is offering better connectivity with SAP sources, but not so good when compared to …
Chose Azure Data Factory
Informatica is a great product. However, given the Azure ecosystem and the pay-as-you-go model's optimal cost, Azure Data Factory was our choice. Also, it is better on the data ingestion and orchestration side. For complex data transformation, we can consider technologies like …
Chose Azure Data Factory
Azure Data Factory fits well into our overall systems architecture where we already utilize largely Azure services and also Microsoft based products in the on-premises environment. I think cost structure is also very competitive with Azure Data Factory. Most services provide a …
Chose Azure Data Factory
Azure Data Factory helps us automate to schedule jobs as per customer demands to make ETL triggers when the need arises. Anyone can define the workflow with the Azure Data Factory UI designer tool and easily test the systems. It helped us automate the same workflow with …
Chose Azure Data Factory
The easy integration with other Microsoft software as well as high processing speed, very flexible cost, and high level of security of Microsoft Azure products and services stack up against other similar products.
Chose Azure Data Factory
I'd chose data factory because its very easy to use, its UI is beautiful, it's library for .net is very useful and it lives within the microsoft ecosystem.
Chose Azure Data Factory
Azure Data Factory is a relatively new player in the space, and its feature set marks it as such. It does not have the full features of a more mature product set such as any of the above. However, it does allow for the creation of ETL/ELT flows/pipelines with minimal initial …
Qlik Replicate
Chose Qlik Replicate
I found this as my lifesaver in terms of its efficacy and approachable to scale the streaming data from our ecommerce platform and analytics of data made much easier than compared to others. As it's partners with azure and other platforms which made our applications faster to …
Chose Qlik Replicate
Qlik Replicate is fast and easy. ADF can do a wider variety of things
Chose Qlik Replicate
Qlik Replicate was very cost-effective and easy to use.
Chose Qlik Replicate
Qlik gave better perfoamnce
Chose Qlik Replicate
For different data bases source and target support, transformations, scalability, speed
Chose Qlik Replicate
We tried to use Oracle GoldenGate for our Oracle source replication needs but, had too many issues with a number of our tables due to churn or size. Qlik Replicate had no issues. And, we can tune our tasks to not impact the source systems we are pulling from.
Chose Qlik Replicate
Great tool for data replication solution for Oracle/SQLServers/etc. Real easy to get it set up and start realizing business value. Getting the PoC accomplished in a short window. Product costing and easy to start small and scale as needed. It helped cover most of our ask …
Chose Qlik Replicate
Qlik Replicate / Attunity was able to be put on our server behind our firewall where with Fivetran would have required. Fivetran would also have required a different SQL server CDC setup. HVR was just as powerful if not more but was more costly and the user interface was not …
Chose Qlik Replicate
Qlik Replicate was more manageable, very intuitive and easy to understand than the other products like Striim. The learning curve is less with Qlik Replicate and the connectors for various sources was easier to plug and play.
Chose Qlik Replicate
The biggest advantage of Replicate in comparison to Fivetran is that we can run the application on-prem. This allows us to configure it precisely how we desire, avoid opening additional ports in our firewall, and monitor its resource consumption directly. That level of …
Chose Qlik Replicate
We replaced IBM’s Change Data Delivery software (Change Data capture specifically for Netezza) because it had a bad user interface, it was difficult to set up, and it was very hard to troubleshoot errors. We selected Qlik Replicate (then called Attunity CDC) because it has a …
Chose Qlik Replicate
We have not evaluated any other products in the last 3 years.
Chose Qlik Replicate
Attunity: Easy interface, relatively easy monitoring, zos support, budget friendly.
we choose Attunity.
At the same time we use AWS DMS for DB2, sqlserver -> aws services replications (cheaper). However because AWS DMS does not support db2 zos we use Attunity for db2 zos …
Chose Qlik Replicate
Far less complex to manage
Chose Qlik Replicate
Simple to do one-to-one copy and very reliable, as other tools a little complex in setting up the pipelines and scheduling parts. Very simple to connect to the SFTP locations and easy to download them as well.
Chose Qlik Replicate
You need to have expertise knowledge to design and develop data using visual studio. But you can design a data flow with minimum experience. In addition to that QLIK has a better performance. It enables you to replicate a large volume of data with minimum latency. The …
Chose Qlik Replicate
We helped attunity (prior owners if replicate) build out new features and worked through bugs with them. Their product was not great when we originally started but there were no other solutions in the market except for Golden Gate which had a hefty price tag associated with it.
Chose Qlik Replicate
SSIS lacks real time replication and the only place where it can beat SSIS.
Additionally, has more end point connectors than SSIS,
Chose Qlik Replicate
Both of these work with API's and services, Qlik Replicate does not.
Chose Qlik Replicate
We're still evaluating, but so far Replicate is easier to set up than HVR. I'm not involved with the FiveTran evaluation.
Chose Qlik Replicate
Qlik Replicate's power is in its simple 1:1 copying of database tables and architecture and maintaining a near real-time copy of that database. Talend and SSIS are different tools and more for custom ETL's that require various steps to connect to SFTP or download files. …
Chose Qlik Replicate
We tried MIMIX, SQL SSIS and Veeam but our team found Qlik Replicate had an advantage over all these three in terms of speed, UI, and ease of maintenance.
Chose Qlik Replicate
I have not evaluated any other competing products. Qlik Replicate was the first product we selected for the data lake three years ago, and we have stayed with it ever since.
Features
Azure Data FactoryQlik Replicate
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Data Factory
8.5
Ratings
2% above category average
Qlik Replicate
-
Ratings
Connect to traditional data sources9.00 Ratings00 Ratings
Connecto to Big Data and NoSQL8.00 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Data Factory
7.8
Ratings
4% below category average
Qlik Replicate
-
Ratings
Simple transformations8.70 Ratings00 Ratings
Complex transformations7.00 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Data Factory
6.3
Ratings
22% below category average
Qlik Replicate
-
Ratings
Data model creation4.40 Ratings00 Ratings
Metadata management5.50 Ratings00 Ratings
Business rules and workflow6.00 Ratings00 Ratings
Collaboration7.00 Ratings00 Ratings
Testing and debugging6.30 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Azure Data Factory
5.7
Ratings
34% below category average
Qlik Replicate
-
Ratings
Integration with data quality tools4.30 Ratings00 Ratings
Integration with MDM tools7.00 Ratings00 Ratings
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Enterprises
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User Ratings
Azure Data FactoryQlik Replicate
Likelihood to Recommend
7.3
(0 ratings)
8.6
(0 ratings)
Likelihood to Renew
-
(0 ratings)
7.2
(0 ratings)
Usability
7.7
(0 ratings)
8.3
(0 ratings)
Support Rating
7.0
(0 ratings)
7.2
(0 ratings)
Implementation Rating
-
(0 ratings)
7.2
(0 ratings)
User Testimonials
Azure Data FactoryQlik Replicate
Likelihood to Recommend
Azure Data Factory is a great data integration tool for developing a cloud data platform, especially within the Azure ecosystem. Azure Data Factory is very good for the Data Ingestion part. It can work for simple data transformation with its Data Flow, but it will also need cluster configuration, and there is some cost. Also, it is an excellent tool for orchestrating data pipelines. But for complex data transformations, you may need to use technologies like Databricks and PySpark.
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Qlik Replicate works very well with relational data platforms, both on premise and in the cloud, for example Oracle, SQL Server, PostgreSQL, MySQL and others, it also works very well with DB2. If the data source is MongoDB, it is more complicated and currently there is no possibility of sending data to MongoDB.
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Pros
  • It allows copying data from various types of data sources like on-premise files, Azure Database, Excel, JSON, Azure Synapse, API, etc. to the desired destination.
  • We can use linked service in multiple pipeline/data load.
  • It also allows the running of SSIS & SSMS packages which makes it an easy-to-use ETL & ELT tool.
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  • Qlik Replicate brought a great experience with respect to the ease of implementation and great UI. We had a software that was a blackbox for the team and was very hard to maintain. Qlik Replicate implementation helped us avoid dependency on one resource.
  • Global transformation and in-built functions are what I like in our project.
  • You can customize the conversion/transformation using a JSON file generated by Qlik Replicate, and it is very convenient.
Read full review
Cons
  • Limited source/sink (target) connectors depending on which area of Azure Data Factory you are using.
  • Does not yet have parity with SSIS as far as the transforms available.
Read full review
  • The base Replicate web GUI is lacking. If you have dozens or more tasks, it's hard to get a sense of how they're performing. Enterprise Manager solves all of these problems but is a separate install.
  • The support portal is extremely difficult to navigate. It's hard to track down exactly what you're looking for.
  • It would be helpful to have better documentation and example queries for the tables in the Enterprise Manager analytics database.
  • Destination databases that don't support common DDL commands behave unpredictably. And the replication of schema changes isn't consistent.
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Likelihood to Renew
No answers on this topic
The availability of the replicated data in disparate environments has is now crucial. Replacing a product like Qlik Replicate would require significant time, investments, and work. In addition, Qlik Replicate is reasonably reliable with few failures.
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Usability
So far product has performed as expected. We were noticing some performance issues, but they were largely Synapse related. This has led to a shift from Synapse to Databricks. Overall this has delayed our analytic platform. Once databricks becomes fully operational, Azure Data Factory will be critical to our environment and future success.
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We now have greater business flexibility and scalability, and our big data integration projects have a quick rate of growth, which has been profitable for us. Independent of the sources involved, maintaining data consistency between sources is easy. One of my favorite features is the way it lets owners of the source system start and stop processes from updating their system windows.
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Support Rating
We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue
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The issue I've had is that Qlik does an awful job of keeping their customers informed when new versions of the software are available. We found that we were using a version that was no longer supported and could never get help. When it came time to get us upgraded so that we were on a current version, no one knew how to help get us to where we needed to be. We had to purchased professional services time and even then I was basically on my own to get everything built out and set up. Qlik needs to be more proactive with communicating about new releases and how to get your version upgraded in the most secure, safe way possible.
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Implementation Rating
No answers on this topic
Follow the directions from the Qlik documentation. They are pretty straight forward and easy enough to follow. If you follow these, then you are not likely to have issues on implementation.
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Alternatives Considered
Azure Data Factory is more of a universal pipeline. SAP BW is a tool offering good SAP connectivity but very limited third-party connectivity. The same is the case with BW4hana. SAP Datasphere is offering better connectivity with SAP sources, but not so good when compared to adf. Power Center of Informatica is a legacy tool, and Anaplan is a planning tool with limited connectivity options.
Read full review
Great tool for data replication solution for Oracle/SQLServers/etc. Real easy to get it set up and start realizing business value. Getting the PoC accomplished in a short window. Product costing and easy to start small and scale as needed. It helped cover most of our ask compared to other solutions.
Read full review
Return on Investment
  • Cost Savings: By automating our ETL processes with Azure Data Factory, we've reduced manual data handling by approximately 60%. This translates to savings from reduced man-hours and the overhead of maintaining legacy systems.
  • Timeliness: Our report generation time has reduced by 70% with Azure Data Factory's scheduled pipelines. Faster insights mean quicker decisions for us, enabling our teams to capitalize on time-sensitive opportunities. We can easily share the data visualizations to all stakeholders.
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  • Prior to using Qlik Replicate, we used an ETL solution to copy data from the Oracle ERP system to the Microsoft SQL Server BI system at a 15-minute interval. It was very tedious to maintain. Qlik Replicate is much easier to use and we replicate data near real-time now.
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ScreenShots

Qlik Replicate Screenshots

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