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Best data tool
Offers a user-friendly interface and a variety of data visualization tools
How has it helped my organization?
What is most valuable?
The most valuable feature of Qlik Analytics Platform is its Change Data Capture capability. This CDC function excels at reading logs from the original data sources and capturing transactions, almost in real-time. It essentially replicates this data into a secondary database, which is incredibly powerful for ensuring data consistency and availability. Besides that, the platform offers a user-friendly interface and a variety of data visualization tools that make data exploration and analysis a breeze. However, it is the CDC feature that truly stands out as a game-changer in terms of data replication and reliability.
What needs improvement?
One area where Qlik Analytics Platform could be improved is in providing better support for batch processing and traditional ETL workflows. While it excels in real-time replication, it lacks robust tools for handling batch data processing. This limitation can be challenging when there is a need to create non-real-time, batch pipelines for data integration and transformation.
For how long have I used the solution?
I have been using Qlik Analytics Platform for three years.
What do I think about the stability of the solution?
The stability of the platform is generally reliable once it is deployed, regardless of the deployment timeline.
Which solution did I use previously and why did I switch?
How was the initial setup?
The initial setup is fairly easy. The deployment time for the platform can vary significantly depending on the nature and scale of the project. For larger enterprises like big banks requiring extensive data replication, it might take years to fully deploy. Smaller companies with simpler data needs could potentially deploy the platform in a matter of days. The timeline largely depends on the project's complexity and the amount of data involved.
Which other solutions did I evaluate?
Qlik Analytics Platform faces tough competition from major cloud providers. These cloud companies are moving customer data to the cloud and providing all-in-one solutions that include data integration, much like what Qlik offers. This puts cloud providers at the forefront of data projects. The challenge for Qlik is that organizations usually prioritize choosing their preferred cloud data storage solution, leaving Qlik as a secondary consideration for integration tools.
What other advice do I have?
My advice to new users considering Qlik Analytics Platform is to carefully assess their data project needs. While Qlik is a solid on-premises platform, the trend in the industry is moving toward cloud-based data solutions, including data warehousing and integration. Cloud data warehouses are often more modern, feature-rich, and scalable. If you are planning to create a new data warehouse in the cloud, it might make sense to also opt for cloud-native integration tools.
The tech world is shifting towards cloud-native solutions, which better match the direction most global data projects are heading. Overall, I would rate Qlik Analytics Platform as a seven out of ten.
Question to the product team.
Question is on hourly pricing. If I subscribe to the hours model, will I be charged for the software/hr even if the EC2 is down?
Wanted to make sure where my savings would be if I shutdown the EC2 server. I want to make sure I don't have to pay software hourly license while the Ec2 server is down. Please confirm.
In my example in a 10 hour timeframe, if I keep the Ec2 instance shutdonw for two hours. What would be my total costs for the 10 hr timeframe?
Provides good stability, but it could be less expensive
What is our primary use case?
I use the product to teach data visualization at a university.
What is most valuable?
The product responds fast for data analysis.
What needs improvement?
The product could be less expensive.
What do I think about the stability of the solution?
It is a stable product. I rate its stability an eight out of ten.
What do I think about the scalability of the solution?
I rate the product's scalability a five out of ten. It depends on the number of servers.
How are customer service and support?
The technical support services are good.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I have worked with Palo Alto and Power BI.
How was the initial setup?
The tool is very easy to set up. It took me nearly two hours to complete the proof of concept. It requires a couple of days to deploy it in a productive environment.
What's my experience with pricing, setup cost, and licensing?
The product is expensive compared to Power BI. I rate its pricing a nine out of ten.
What other advice do I have?
It is a very good tool for on-premise data analysis. I rate it a six out of ten.