Home > Big Data Analytics Tools > Looker Studio > Looker Studio vs QlikView

Looker Studio vs QlikView

Last Updated: November 18th, 2024

Our analysts compared Looker Studio vs QlikView based on data from our 400+ point analysis of Big Data Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

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Product Basics

Google Looker Studio is a robust data analytics and business intelligence platform designed to help organizations extract valuable insights from their data. It offers a user-friendly interface for data exploration, powerful visualization tools, and real-time data monitoring. Key features include customizable dashboards, SQL-based queries, and seamless data integration from various sources. Users can collaborate within the platform, fostering a data-driven culture. Looker Studio empowers users to make data-informed decisions, with the ability to create tailored reports and leverage machine learning for predictive analytics. It suits businesses of all sizes and industries, facilitating scalable analytics and promoting data-driven decision-making.

QlikView is a data discovery and customer insight platform from Qlik, a leader in the insight and intelligence space. However, it is not available for purchase any longer. Qlik Sense, Qlik’s next-generation offering, is available for new customers. It offers self-service data that can help drive decisions and generate significant ROI for technical skill level users.

It’s built from the ground up to be affordable, scalable and adaptable. It can ingest data from diverse sources like big data streams, file-based data, and on-premise or cloud data. It is well-known for its data associations and relationship functionality, keeping data in context automatically. It delivers results quickly via its patented in-memory data processing module, processing data down to as little as 10% of its original size.

Pros

Intuitive interface
Fast data visualization
Easy data exploration
User-friendly for non-technical users
Strong community and support

Cons

Limited data modeling capabilities
Licensing costs can be high
Customization can be challenging
Version control can be a concern
Performance can slow with large datasets

$3,000 Monthly

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Tailored to your specific needs

$2,500/User, Annual

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Tailored to your specific needs

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Product Insights

Actionable Insights: Google Looker Studio empowers businesses to derive actionable insights from their data. It goes beyond raw data to provide meaningful, data-driven recommendations and strategies.
Unified Data Platform: Looker Studio offers a unified data platform that brings together data from various sources, enabling a holistic view of your organization's data. This centralization streamlines decision-making and enhances data consistency.
Scalable Analytics: Scalability is a key advantage of Looker Studio. Whether you're a small startup or a large enterprise, it can scale with your data needs, ensuring you have the analytics power you require as your business grows.
Customizable Dashboards: With Looker Studio, you can create customized dashboards tailored to your specific needs. This flexibility allows you to focus on the metrics that matter most to your organization.
Collaborative Environment: Collaboration is made easy with Looker Studio. Teams can work together within the platform, share insights, and collaborate on data-driven decisions, fostering a data-driven culture within your organization.
Real-Time Data: Stay up-to-date with real-time data insights. Looker Studio provides real-time analytics, enabling you to make informed decisions quickly and adapt to changing circumstances.
Enhanced Data Security: Security is a top priority, and Looker Studio offers robust data security features, including role-based access control and encryption, ensuring your data remains protected.
Reduced Time-to-Insight: Looker Studio's intuitive interface and powerful querying capabilities reduce the time it takes to extract valuable insights from your data, accelerating decision-making processes.
Optimized Performance: The platform optimizes data performance, ensuring that you can analyze large datasets efficiently, even in complex analytical scenarios.
Adaptive Analytics: Looker Studio adapts to changing business needs, allowing you to evolve your analytics strategy as your organization grows and your data requirements change.

Optimize Connections: Spot connections in data even when working with large data sets. Take a granular look at data through drill-down and view high-level trends in customer/employee behavior.
Increase Data Security and Control: Ensure total control over sensitive data. Prevent unauthorized access to crucial data sets through user-control, filtered views and permissions. AES-256 GCM provides data integrity and keeps information secured. Grant access to view data using user-specific access.
Enhance Functionality: Build the product in alignment with user needs and specifications. Extend functionality with QlikView Workbench to customize the app with custom scripting.
Increase Insight: Gain unparalleled insights into business operations, as well as the market at large. Track KPIs like sales, budgets, employee performance, and hundreds of other pre-built or custom data points.
Flexible Deployment: Choose from a cloud analytics solution, an on-premise installation, or a combined solution to get desired scalability and flexibility.
Intuitive Interface: Obtain data results via the self-service and code-free visual tool. Its accessible interface provides updated information instantly.
Empower Company Culture: Foster a data-driven culture by empowering employees to share data and insights directly or outside the platform.
Increase Competition: Monitor and track employee performance using KPI dashboards across organizations. Analyze changes in empirical data and make decisions to capitalize the profits.
Automated Recommendation: Receive and recommend automated context-aware suggestions using machine learning (ML). Prioritize recommendations on visualization type for easy access.
Accelerate Business Growth: Scale the businesses by deploying self-service and predictable BI. Test business performance using free tools available on the webpage.
Enhance Accessibility: Access all features from anywhere and on any device using an HTML5 client. Provides mobile push notifications to ensure unrestricted and consistent access.
Worldwide Support: Support fifteen languages and native currency conversions while detecting which language to use according to the browser or operating system.
Optimize Deployment and Configuration: Deploy quickly and allow for even quicker configuration because data is not required to be stored in any silos or cubes.

Interactive Dashboards: Create dynamic, interactive dashboards that allow users to explore data, drill down into details, and gain insights effortlessly.
Customizable Reports: Generate tailored reports with a variety of visualization options, including charts, graphs, and tables, to communicate data findings effectively.
Data Exploration: Easily explore and analyze data from multiple sources with intuitive data exploration tools, making it simple to uncover hidden patterns and trends.
SQL-Based Queries: Leverage the power of SQL for querying and manipulating data, enabling advanced users to perform complex analyses and calculations.
Data Integration: Seamlessly integrate data from various platforms and sources, including databases, cloud services, and spreadsheets, for a holistic view of your organization's data.
Machine Learning Integration: Incorporate machine learning models and predictive analytics into your data analysis, allowing for data-driven predictions and recommendations.
Collaborative Workspace: Foster collaboration among team members by sharing data, insights, and reports within the platform, promoting data-driven decision-making across the organization.
Role-Based Access Control: Ensure data security with role-based access control, granting different levels of access to users based on their roles and responsibilities.
Real-Time Data Monitoring: Keep a pulse on your data with real-time data monitoring and alerts, allowing you to respond promptly to changing conditions and opportunities.
Scalable Architecture: Scale your analytics infrastructure as your organization grows, accommodating increasing data volumes and user demands without sacrificing performance.

Direct Data Source Connection: Connect to almost any data source, including cloud, big data, file-based and on-premise data. Pull information from many services (Salesforce, Hive, Teradata) and combine intel seamlessly into unique and intuitive dashboards.
Intelligent Visualization: Offer interactive displays and represent data in multiple ways for better data analysis. Flexible visualizations allow users to change and adjust graphics according to screen size.
Enterprise Collaboration: Facilitate collaboration for users to share the same dashboard, look at the same view or track one another as they navigate the application.
Strong Associations: Leverage the strength of the platform’s built-in association engine to conduct direct and indirect searches across data or within a single field. Identify data that is related and not associated.
Self-Service App Building: Build apps and files via the drag-and-drop function. Create individual lists with their visualization while managing and sharing across organizations.
Associative Indexing: Combine, transform and ingest data from multiple sources. Gathers data and indexes it to find logical associations. Explore and search big data repositories freely while keeping data intact.
Interactive Dashboards: Provide visualization capabilities and improve interaction using tooltip, lasso selection, filtering and drill-down functions. Encourage viewers to explore data by creating smart dashboards and distributing them using interactive elements.
In-Memory Application: House the software in memory, so conversions, queries and searches happen quicker and more efficiently. Eliminate problems that traditionally plague slow, on-disk applications. Locate all data in RAM.
Web Connectors: Extract data from multiple social networking sites and web-based sources using web APIs. Built-in connectors easily connect to any URL and fetch data.
Robust Data Controls: Enable meaningful data manipulation within the application by leveraging unique dashboards, reports and filter views.
Data Alerts: Spot anomalies and outliers by requesting context-aware alerts. Monitor and manage data without limitations.

Product Ranking

#22

among all
Big Data Analytics Tools

#32

among all
Big Data Analytics Tools

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Analyst Rating Summary

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User Sentiment Summary

86%

of users recommend this product

Looker Studio has a 'great' User Satisfaction Rating of 86% when considering 1074 user reviews from 3 recognized software review sites.

82%

of users recommend this product

QlikView has a 'great' User Satisfaction Rating of 82% when considering 1859 user reviews from 4 recognized software review sites.

4.4 (426)

4.1 (239)

n/a

4.3 (163)

4.3 (365)

4.2 (725)

4.2 (283)

3.9 (732)

Awards

Synopsis of User Ratings and Reviews

Intuitive Interface: Users appreciate Looker Studio's user-friendly interface, making it easy to navigate and perform data analysis tasks.

Powerful Visualization: The platform offers a wide range of visualization options, enhancing data presentation and making insights more accessible.

Collaborative Tools: Users value the collaborative features, enabling teams to work together seamlessly, share insights, and drive data-driven decisions.

Real-Time Insights: Looker Studio's ability to provide real-time data insights helps users stay informed and agile in their decision-making processes.

Customization: Users can tailor dashboards and reports to their specific needs, allowing for a personalized analytics experience.

Data Visualization: Approximately 80% of users who review its data visualization capabilities are satisfied with its intuitive drag-and-drop feature, rich libraries and its range of aesthetically appealing data representation options.

Data Preparation: Of users who mention data processing, 83% appreciate the platform’s seemingly limitless data transformation capabilities that help them deep-dive into all possible data relationships to glean actionable insights.

Functionality: Among users who share their views on this platform, around 68% say that they are satisfied with the power of its associative query engine that enables faster on-the-fly calculations and analytics aggregation at the speed of thought.

Sharing and Collaboration: About 83% of users who comment on sharing capabilities appreciate its multi-tier permissions capabilities and easy sharing of reports with clients via external sharing options.

Setup: Around 66% of users who mention ease of setup say that QlikView has a fast implementation cycle.

Steep Learning Curve: Some users find Looker Studio challenging to learn, especially if they lack SQL or data analysis skills, leading to initial difficulties.

Data Integration Complexity: Integrating data from various sources can be complex, requiring substantial setup and maintenance efforts for certain users.

Resource Intensiveness: Resource-intensive tasks, such as processing large datasets, may lead to performance issues, causing frustration for some users.

Costs: The pricing structure can be a drawback for organizations with tight budgets, as Looker Studio's pricing may not be suitable for all user needs.

Limited Offline Functionality: Some users desire more robust offline capabilities, as Looker Studio primarily operates in an online environment.

Cost: Pricing plans are inflexible and can be cost-prohibitive for small organizations and startups, though large organizations may find that it offers high value, as stated by 93% of users who mention its cost.

Performance: Approximately 42% of users say that performance-wise, this platform is resource-hungry and liable to slow down when crunching large amounts of data on local machines.

User Interface and Graphics: Of users who mention user interface, around 44% say that it needs improvement in deep-dive capabilities, as well as its quality of graphics.

Reporting: Of users who mention reporting, approximately 46% say that it lacks ad-hoc reporting and built-in reporting capabilities, requiring paid plugins to enhance the graphics quality of reports.

User reviews for Google Looker Studio indicate both strengths and weaknesses. Many users praise its intuitive interface, which simplifies data analysis. The platform's powerful visualization tools and real-time insights are widely appreciated, enabling users to present and act on data effectively. Collaboration features also receive positive feedback, facilitating teamwork and informed decision-making. However, several users highlight challenges. A notable drawback is the steep learning curve, especially for those without SQL or data analysis skills. Some users find data integration complex and resource-intensive, potentially impacting performance. Cost considerations also arise, with users noting that Looker Studio's pricing may not align with all budgets. In comparison to similar products, Looker Studio stands out for its user-friendly interface and strong visualization capabilities. However, some users mention limitations in offline functionality, which competitors may handle better. Overall, Google Looker Studio appears to be a valuable tool for data analysis and collaboration, but it may require a learning curve and careful consideration of budget constraints.

QlikView is one of the foremost BI solutions in the market today, mainly due to the power of its associative query engine to link data from multiple sources that drives its visually impressive dashboards. With its strong data visualization capabilities, users can perform search and filter through data on-the-fly and conduct deep-dives to glean insights that matter to them. With a fast setup, users can have their first data model up and running in very little time. The software resides in-memory and houses data in RAM for quicker retrieval. With multi-tier access permissions for in-organization users, it enables users to view executive summaries at a glance, while allowing them to drill-down into data to find out more. Sadly, Qlik is now scaling back on improvements and updates for QlikView and focusing on promoting QlikSense instead, a possible reason why its filter and search functions, ad-hoc reporting and graphics are lagging in terms of quality, as mentioned in many user reviews. Also, this platform can prove to be resource-heavy for databases housed on local machines, especially when performing batch update jobs. In addition to inflexible pricing plans and the cost of licensing, quite a few necessary add-ons are paid. In summary, QlikView is one of the leading in-memory BI tools available in the market today and rates excellently with users in terms of data aggregation and visualization capabilities; however, buyers should factor in its pricing plans and other limitations when searching for the perfect BI solution for their enterprise.

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FAQ

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