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.
I conducted a cost comparison with the AWS service provider, and this option is much cheaper than the Kinesis service offered by AWS.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
The technical support for Azure Data Factory is generally acceptable.
Even priority tickets, which should be resolved in minutes, can take days.
Azure Data Factory is highly scalable.
The solution has a high level of stability, roughly a nine out of ten.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
There is a problem with the integration with third-party solutions, particularly with SAP.
It is a core-based licensing, which, especially in the banking industry, results in the system capacity being utilized up to a maximum of 60%.
The pricing is cost-effective.
It is considered cost-effective.
Licensing is calculated based on the machine's total capacity rather than actual usage.
It connects to different sources out-of-the-box, making integration much easier.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets.
Data retrieved from the system can be pushed to multiple places, supporting various divisions such as marketing, loans, and others.
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.
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