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PowerBI and Qlik are powerful tools to scale your insight generation capacities and visualization abilities. From a distance, that’s all you need to understand both of the business intelligence tools.
However, when you need to consider the company’s growth verticals and future progress, you are required to analyze the benefits and value that each tool would offer to your business in the long-term. For this, it is necessary to understand the fundamental differences in the execution. In the following sections, we will discuss the differences in both BI software tools. Read on.
A Comparison Guide for Qlik and PowerBI
Data visualization tools offer a method to support your data scientists and data administrators to extract valuable information from a stream of data. However, selecting this tool is not easy. For this reason, we have explained the features of PowerBI and Qlik below. Find out which tool is best suited for your organization.
Once you have the answer, reach out to AIMDek Technologies for implementation support. As a technology and development company, we have the skills and industry expertise to execute this implementation without glitches. We have already served a range of clients and helped them implement the right business intelligence tool. Reach out to us to know how we can help you. But, before that, let’s explore the differences.
1. Cloud Strategy
The primary requirement is that your BI solution should help you with insights. If this tool forces you to build an infrastructure or it reduces your options for the same, then it can create an issue. From hybrid cloud implementation to on-prem execution, your tool should deploy in various environments and still offer the same level of scalability and performance.
Qlik tool can work on any cloud. In every type of implementation, Qlik would offer you a similar experience and functionalities. This type of execution helps in using the tool in a hassle-free manner.
Power BI, on the other hand, restricts your abilities with Azure. You need to use Azure, and Azure only. This tool can’t work with any other type of cloud. Further, the functionalities of Power BI on-premise and cloud offer a varied experience to the user.
2. Costing Structure
It is not a small cost and it is not an initial purchase. This is why it is necessary to consider the total cost of the solution calculated for up to 3-5 years. This includes the app development, infrastructure, admin support, and guidance needed. Together these factors help you decide the complete cost of using the software.
Qlik is beneficial in this sense. The entire cost is comparatively lower. You know the data you are using, so you would always have a clear idea of the costing that may come across your way. There are no surprises in this case.
For Power BI too, there are no surprises. However, initially, the software is cost-effective. As you scale, your upgrades increase and so does the costing of the software, as calculated in a year or quarter.
3. Data Management
Regardless of your enterprise infrastructure, you need a data analytics tool that performs well. There’s a pressing need for a web-based integration that can help you manage, integrate, move, and evaluate your data extracted from various sources. This action should be rapid, and you should have the ability to scale.
Qlik is more flexible. It enables users to deploy their data in any manner they see fit. Whether you want a cloud-based application or an on-premise, it is easier with Qlik. You have the control, which helps you extract value from your data.
Power BI is linked to Microsoft Products, which is also a good idea. If you are already using Azure, you can benefit a lot by using Power BI. Your integrations would be simpler and hassle-free with this tool. The speed of management is also great.
4. Comprehensive Integration
Comprehensive data integration can help you gain powerful insights and information in a rapid manner. This is possible when you have a platform that allows quick integrations. These integrations help you maximize the value of your analytics and data without going through the hassle of a difficult technology stack.
Qlik offers integration with NLP predictive analysis and augmented intelligence. These features help in quick and effective data exchange between QIX and third-party engines. With that, you also have Python and R integrations. Together, you can achieve complex calculations using additional tools inside Qlik. You can achieve inventory management, sales forecasting, and fraud detection too.
Power BI tools also help you connect with various in-built streaming, on-premise, and on-cloud data sources that help in data preparation. You can integrate with Excel, Cortana, and other similar applications. In fact, you can easily convert Power BI dumps to excel format for achieving further analysis.
5. SaaS Benefits
One of the amazing things about Power BI specifically is that it is a SaaS offering. Here are the benefits that are attached to this feature:
- You don’t need any usage license to configure Power BI or install it in your network. These costs are mitigated.
- The updates are automatically taken at certain intervals. So, that hassle is also removed.
- Depending upon your usage needs, you can scale your requirements up and down easily. There are no issues in achieving that.
- Your team doesn’t need to manage servers and spend a lot of time on this task.
- There are very few issues with downtime and other interruptions. It is greatly mitigated by the provider.
PowerBI or Qlik: Which Solution is a Clear Winner?
In a collective review, Power BI is designed for every type of user. It can be accessed and used by any individual, even when they have little technical know-how.
However, every tool works on a different logic and principle. Both Qlik and PowerBI have their USPs, which can be beneficial for different types of organizations. Hence, before moving forward, clearly evaluate your organizational needs, match these requirements with a business intelligence tool, and then move ahead in the right direction.
If you face issues in selecting the right BI tool for your enterprise, then contact us for support. Our team can guide you through this decision and help you implement the BI tool for optimum usage and utmost convenience. Reach us now at firstname.lastname@example.org and we would give you a call back soon.
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