

Google Data Studio and Qlik Sense compete in the business intelligence and data visualization space, offering distinct strengths to address various user needs. Google Data Studio appears to have an edge for small businesses due to its free access and easy integration with Google products, while Qlik Sense has an advantage in handling complex data for larger enterprises.
Features: Google Data Studio stands out for its seamless integration with Google products, user-friendly interface, and cost-effectiveness as it is free. It provides ease of access with Google accounts and offers real-time collaboration. Qlik Sense excels in robust data processing capabilities, associative data engine for complex data analysis, and extensive visualization options. It provides advanced analytics features, scalable solutions, and customizable dashboards for enterprise-level needs.
Room for Improvement: Google Data Studio could enhance its data source connectivity and expand visualization functionalities. There's a need for more advanced analytical capabilities. Qlik Sense, while rich in data handling, could simplify its user interface and integration process. Users often require training to fully utilize its advanced features, and an improved onboarding experience could be beneficial.
Ease of Deployment and Customer Service: Google Data Studio is well-integrated within the Google ecosystem, offering a straightforward deployment process in cloud environments. Qlik Sense provides flexible deployment options, including on-premises and multi-cloud environments, though this can increase complexity. Both platforms receive positive feedback for customer support, but Google Data Studio's seamless integration in cloud environments is particularly noted.
Pricing and ROI: Google Data Studio is attractive for small businesses with its free access, offering essential analytics features at no cost. For more advanced needs, Qlik Sense presents a viable option despite its higher costs, as it provides flexible pricing with various licenses and robust capabilities that deliver higher value for larger organizations.
The number of employees has reduced to half, and time is saved by nearly two to three hours a day because of automated reports.
In my organization, we moved from OBI to Qlik Sense due to limitations with OBI, resulting in very high ROI.
Anyone with minimal knowledge of Looker can easily go through the documentation and understand the steps and the UI.
While tech support is comprehensive, the stability of Qlik Sense means I generally do not need it.
Technical support requires improvement.
In Turkey, the consultant firms are very professional, and they support you.
I rate Looker's scalability a nine because of how easily we can scale by simply combining tables.
It performs well in terms of performance and load compared to others.
Qlik Sense helps analyze data and can handle larger amounts of data compared to other BI tools.
It is easily scalable with Microsoft, with other services Azure and other tools they provide.
The stability is very good.
The performance is not optimal on large data sets.
Power BI has better visualizations and interactions with updates in 2023 that provide ease of use.
Providing an API feature to access data from the dashboard or QEDs could be beneficial.
There should be more comprehensive documentation and explanatory videos available to help clients understand and calculate capacity-based pricing, making it easier to predict costs before implementing Qlik Sense Cloud.
It is just about how expensive it is to implement.
Compared to Power BI, it is definitely costly.
Among the BI tools and data analytics tools, Qlik is the most expensive.
For a business user to understand data from free form or Essbase, it usually takes thirty minutes to an hour to go through the previous day's trend. However, with the visualization tools in Looker, they can easily understand the data and compare it to the previous one or two years using a bar graph, pie chart, or other graphs.
From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.
The true power is in the ability to connect with any database, get the data, and work with the data.
It is a single product that I can use as an ETL database, BI, and more.
| Product | Mindshare (%) |
|---|---|
| Qlik Sense | 8.0% |
| Looker | 5.6% |
| Other | 86.4% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 8 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 40 |
| Large Enterprise | 88 |
Google Data Studio enables seamless integration with Google's ecosystem, enhancing data visualization with Looker's capabilities. Its semantic layer and real-time insights support efficient dashboard creation and sharing.
Google Data Studio offers comprehensive data management through LookML, allowing custom data modeling with minimal training. Its centralized data management facilitates dashboard creation for non-technical employees. Users benefit from real-time insights and advanced analytics, along with automated reporting that reduces workload. Although it offers customization and data-level security, areas like visualization flexibility and large dataset performance need improvement. Challenges include handling complex filters, limited chart types, and the absence of multi-sheet options.
What are the key features of Google Data Studio?Google Data Studio is implemented in industries like real estate, sales, and marketing for creating operational reports and understanding trends. It helps organizations visualize data for customer behavior analytics, supporting developers in managing integrations and data governance efficiently.
Qlik Sense offers drag-and-drop dashboard creation, multi-data source integration, and self-service analytics. Users benefit from associative data modeling and real-time insights. The platform enhances quick deployment across any device with its flexibility and ease of use.
Qlik Sense provides rapid dashboard creation and seamless multi-data source integration, supporting real-time analytics and high-speed ETL capabilities. Users enjoy advanced visualizations and natural language processing within an intuitive interface. The solution's in-memory engine ensures fast data processing while offering flexibility and quick deployment on all devices. Its open API facilitates extensive customization and integration with chatbots and third-party extensions.
What are the key features of Qlik Sense?In industries such as finance and sales, Qlik Sense enables interactive data analyses and dashboard creation across departments. It supports business intelligence for financial reporting, sales analysis, and decision-making. By automating reporting and combining data from multiple sources, it facilitates users in generating insights and enhancing data accessibility for informed business decisions.
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