In this article, we will compare two innovative products regarding data analysis and reporting: Qlik and Sisense. In this section, we'll discuss the main attributes and significant merits of each product. Also, an evaluation of the favorable and unfavorable points of these platforms will be presented. Upon completing this comparison, readers will be equipped with a thorough insight into the strengths and flaws of Qlik and Sisense.
What is Qlik and Sisense?
Qlik, originally known as Qliktech, is a business analytics platform provider founded in 1993 in Lund, Sweden. Now based in King of Prussia, Pennsylvania, USA, Qlik offers products like Qlik Replicate and Qlik Sense. Qlik's software specializes in business intelligence and data integration. The platform is notable for its Associative Engine, which allows users to perform big data analytics by combining multiple data sources, revealing associations and connections across data. Qlik Sense, the current cloud-based software, and QlikView, the legacy on-premise product, operate on this engine. Qlik Sense enables the concatenation of different data sources, allowing detailed drill-down on individual data records. Qlik's offerings extend beyond these main products, with tools for data catalog management, analytics development, and third-party developer extensions for enhanced visualization capabilities.
Sisense is a business intelligence software company based in New York City, with additional offices in various locations including San Francisco and Scottsdale. The company specializes in developing advanced business intelligence tools that enable users to effectively access and analyze big data. Sisense's analytics suite, known as Sisense Fusion, leverages artificial intelligence and machine learning to provide comprehensive data analysis. This platform allows users to create customized analytics dashboards and data visualizations tailored to industry-specific needs and individual roles within a business. Notably, Sisense integrates with major platforms like Adobe Analytics, AWS, Microsoft Azure Synapse Analytics, and Snowflake, enhancing its data input and analysis capabilities.
Core Values of the Two Products
| Qlik | Sisense |
|---|---|
| AI-Driven Analytics | Customization and Integration |
| Comprehensive Data Integration and Movement | Developer-Friendly Analytics |
| Flexible Data Analytics Products | Cloud-Native Approach |
| Extensibility and Customization | Focus on AI and Machine Learning |
Qlik's product core values encompass AI-Driven Analytics, Comprehensive Data Integration and Movement, Flexible Data Analytics Products, and Extensibility and Customization. AI integration enhances user experience across various skill levels, offering no-code machine learning and predictive analytics. The product ensures seamless data management with its comprehensive data integration capabilities, including data movement, transformation, and automation. The Associative Engine, central to Qlik Sense and QlikView, enables extensive analytics by connecting diverse data sources. Additionally, Qlik's extensibility through third-party add-ons allows for tailored visualization capabilities, showcasing the product's adaptability to specific user needs.
Sisense offers a comprehensive analytics suite focusing on four key features. Firstly, it provides customization and integration through AI-driven, low/no code embedded analytics applications, enhancing product engagement and data-informed decisions. Secondly, it's developer-friendly with the Sisense Compose SDK, offering a flexible toolkit for integrating analytics into products, saving development time. Thirdly, Sisense adopts a cloud-native approach, eliminating on-premises server needs and offering scalability and hassle-free maintenance. Lastly, it emphasizes AI and Machine Learning for effective data analysis and deeper insights into complex datasets.
Pros and Cons
The Pros and Cons of Qlik
Qlik's pros include its adaptability and customization, efficiency and self-service capabilities, extensive learning resources, and a supportive community, alongside its prowess in data integration and analytics. It's also lauded for its performance and user-friendly interface. However, the cons involve limitations in advanced customization, requiring third-party integrations, restricted visualization formatting, and challenges with large dataset compilation and connecting to uncommon databases.
| Pros | Cons |
|---|---|
| ✅ Adaptability and Customization | ❌ Customization Limitations |
| ✅ Efficiency and Self-Service Capabilities | ❌ Technical Challenges |
| ✅ Community and Learning Resources | |
| ✅ Data Integration and Analytics | |
| ✅ Performance and Ease of Use |
The Pros and Cons of Sisense
Sisense is known for its efficient data handling, offering fast processing and effective visualization. It stands out for its customization capabilities and continuous feature development. The platform is user-friendly, easy to implement, and supports a variety of data formats. Additionally, it provides strong customer and technical support and excels in data integration and analytics. However, its drawbacks include a high cost and complex licensing, as well as a need for improvements in its mobile app and dashboard management, impacting overall usability and user experience.
| Pros | Cons |
|---|---|
| ✅ Fast and Efficient Data Handling | ❌ Cost and Licensing Complexity |
| ✅ Customization and Innovation | ❌ Mobile App and Dashboard Management |
| ✅ Ease of Use and Implementation | |
| ✅ Strong Customer and Technical Support | |
| ✅ Effective Data Integration and Analytics |
Summary
Qlik stands as a robust and versatile business intelligence platform that has significantly contributed to the evolution of data analytics. Its core strengths lie in AI-driven analytics, comprehensive data integration, and cloud-native solutions, providing users with powerful tools for data analysis and decision-making. However, it faces challenges in customization limitations and technical complexities. Overall, Qlik represe
Sisense emerges as a formidable force in the business intelligence arena, marked by its robust data processing, customization, user-friendly nature, and strong support infrastructure. While it excels in these areas, there are opportunities for growth in terms of cost efficiency, technical stability, and mobile optimization. Ultimately, Sisense offers a comprehensive suite of tools that equip businesses with the necessary insights to navigate the complexities of data-driven decision-making.
