Choosing the right business intelligence tool is critical for data-driven decision-making. Qlik Sense and Oracle Analytics are two leading platforms in the BI landscape, each with unique features and capabilities.
This comparison will delve into their functionalities, usability, and integration capabilities to aid you in selecting the best fit for your organization.
We will also explore how Sourcetable offers a streamlined alternative with its spreadsheet-like interface that seamlessly syncs with your data, presenting a modern approach to reporting and data analytics tasks.
Qlik Sense is a modern data analytics tool that leverages artificial intelligence to enhance data insights. Its core technology, associative analytics, enables comprehensive data exploration and insight discovery. As a tool designed for ease of use, Qlik Sense facilitates self-service visualization and dashboard creation, empowering users with search capabilities and natural language interactions with their data.
Qlik Sense is a modern data analytics tool that leverages artificial intelligence to enhance data insights. Its core technology, associative analytics, enables comprehensive data exploration and insight discovery. As a tool designed for ease of use, Qlik Sense facilitates self-service visualization and dashboard creation, empowering users with search capabilities and natural language interactions with their data.
Qlik Sense is accessible from any location and compatible with various devices, ensuring flexibility in data analysis. It can be embedded into other applications and offers a full set of APIs for extended functionality, including data prep and connectivity.
With a customer base of over 40,000, Qlik Sense is a trusted solution for organizations seeking a fast and efficient way to harness the power of their data.
Oracle Analytics is a comprehensive cloud service designed to support the entire analytics workflow. It offers a high-performance platform with scalable capabilities for individuals, workgroups, and enterprises. The service facilitates collaborative analytics and provides robust data-level security.
Oracle Analytics is a comprehensive cloud service designed to support the entire analytics workflow. It offers a high-performance platform with scalable capabilities for individuals, workgroups, and enterprises. The service facilitates collaborative analytics and provides robust data-level security.
Oracle Analytics is built to cater to all roles within an organization, including IT professionals, executives, data engineers, citizen data scientists, business analysts, and business users.
Associative Analytics Engine |
The unique associative analytics engine enables deep data exploration, uncovering insights through instant calculations and allowing users to select and search data in any direction. |
Augmented Analytics |
Embedded AI and ML form the foundation of Qlik Sense, offering advanced analytics capabilities, including AI-powered insights, predictions, and automated insight generation. |
Data Visualization and Dashboards |
Interactive dashboards and highly customizable visualizations enable users to create compelling data stories and support decision-making. |
Data Integration and Preparation |
Qlik Sense provides a comprehensive suite for data prep and connectivity, supporting fast data integration from a variety of sources with a self-service data catalog. |
Advanced and Predictive Analytics |
AutoML and predictive analytics are accessible within Qlik Sense, allowing for the easy creation of machine learning models and advanced data science applications. |
Automation and Alerting |
Automation capabilities streamline application workflows, while data-driven alerting and event-driven actions ensure timely responses to data insights. |
Collaboration Tools |
Enhanced collaboration features include notes, narrative context, and discussion threads, promoting shared insights and joint decision-making. |
Accessibility and Mobility |
Qlik Sense's cloud analytics and mobile capabilities ensure access to insights anytime, anywhere, with a low-code environment for ease of use. |
Open and Standard APIs |
Comprehensive open APIs allow for the development of custom applications, extensions, and embedded analytics, ensuring a fully customizable experience. |
Scalability and Performance |
High performance scalability, powerful data integration, and centralized management make Qlik Sense suitable for enterprises of varying sizes and needs. |
Deployment Flexibility |
Oracle Analytics supports a hybrid deployment strategy, allowing for various deployment options. It can be deployed in the cloud, on-premises, or in a hybrid manner, including on Oracle Cloud Infrastructure (OCI), non-Oracle data centers, or a customer's data center of choice. |
Data Connection and Management |
With over 35 native data connection choices, including JDBC, Oracle Analytics connects to a wide range of data environments. These include public clouds, private clouds, on-premises data sources, data lakes, databases, spreadsheets, and text-based extracts. Users can create, manage, and share these data connections seamlessly. |
Semantic Model and Data Visualization |
Oracle Analytics provides a shared semantic model for a business representation of data, enabling users to visually explore and query multiple data sources natively. |
Machine Learning Integration |
Integrated machine learning capabilities foster an analytics-driven culture within organizations. This feature is accessible to any user, aiming to enhance data analysis and decision-making processes. |
Pricing Model |
Oracle Analytics offers versatile pricing options, including consumption-based pricing, subscription, perpetual license, and CPU license models. |
Compatibility |
Oracle Analytics ensures compatibility with Oracle Business Intelligence Enterprise Edition, facilitating integration with existing Oracle environments. |
Qlik Sense is purpose-built to improve data literacy among users, allowing teams to make data-driven decisions efficiently.
With its self-service visualization capabilities, Qlik Sense empowers users to create customized reports and analytics without extensive technical expertise.
At $30 per user per month, Qlik Sense is a relatively affordable option for businesses seeking a powerful analytics tool.
The platform's compatibility with a wide range of devices ensures accessibility and user engagement across different hardware.
Qlik Sense's mobility feature and responsive design allow for seamless access to BI tasks on-the-go, enhancing productivity.
Robust security features safeguard data integrity, while a centralized hub facilitates collaboration and information sharing among users.
Open APIs and the ability to develop custom apps and visualizations provide flexibility for businesses to tailor the tool to their unique needs.
As a user-friendly and AI-powered tool, Qlik Sense streamlines the analysis process, making advanced data analytics accessible to a broader audience.
Qlik Sense can experience performance degradation when handling large data sets. This slowdown can impact the efficiency of data analytics processes.
The expense of Qlik Sense may be prohibitive for larger teams or for some businesses, potentially affecting the return on investment for the business intelligence tool.
Users may encounter limitations when downloading information to Excel from Qlik Sense, which could impede data portability and reporting flexibility.
Costs can increase with the need for add-ons and plugins, as these are not included in the base price of Qlik Sense and require separate purchases.
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Improving efficiency, customer service, and sales as demonstrated by Dominos
Creating a company-wide portal for analytics like Intuit
Enhancing operational success in line with Urban Outfitters
Reducing the cost and effort to convert loan prospects as seen with Integra
Oracle Analytics Cloud offers a broad array of analytics capabilities, facilitating everything from self-service data visualization to advanced analytics.
Designed and optimized for the cloud, Oracle Analytics Cloud ensures seamless integration with cloud-based data sources and applications.
Businesses can analyze data where it resides, in the cloud or on-premises, without data migration issues.
Users gain autonomy with self-service visualization, data preparation, and enterprise reporting, enhancing productivity and insight discovery.
Dynamic what-if modeling and proactive insights support informed decision-making and forecast potential business outcomes.
Accessible on any device and boasting self-learning mobile analytics, Oracle Analytics Cloud accommodates a mobile workforce.
The integration of machine learning and natural language insights empowers users to gain deeper analytical understanding with minimal effort.
With the ability to connect to all data sources, businesses can gain a holistic view of their performance.
Voice to text and natural language querying simplify user interaction, making data analysis more intuitive and less technical.
Limited documentation hampers data collection from on-premise services, posing challenges for users trying to integrate Oracle Analytics with existing systems.
The platform's user experience is suboptimal, and the initial setup process is cumbersome. Users may find the guided dashboard configuration lacking, adding to the difficulty in getting started.
Oracle Analytics features a dated interface, which can affect productivity. Additionally, there is a restrictive 50MB limit for importing .xlsx data, potentially hindering data analysis.
Consistency issues with list visualizations may arise, affecting report clarity. The platform's non-exclusivity to data partnerships can limit specialized data integration.
Known issues with the product, including problematic MongoDB connections and difficulties with various data sources, can lead to unreliable performance in data analytics and reporting.
Oracle Analytics Cloud is a service offered by Oracle used to connect to the data you want to analyze, secure access to endpoints, and deploy a redundant environment. It provides network security and options to restrict access.
Oracle Analytics Cloud uses network security groups as a firewall, provides options to restrict access, and supports encryption using Oracle-managed and customer-managed encryption.
Oracle Analytics Cloud can connect to data sources through a private access channel, but it can only be used with a private access channel in the same region.
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Oracle Analytics Cloud encrypts data using Oracle-managed encryption by default, with the option for customer-managed encryption through the Vault service. Using custom encryption keys requires permissions to read and manage keys.
Creating interactive dashboards for data reporting
Developing custom visual representations of sales data
Building .dva projects for individualized data analysis
Sourcetable streamlines the process of reporting and data analytics by integrating data from various services into an intuitive spreadsheet interface. This simplification allows for ease of use and accessibility, catering to businesses seeking a straightforward solution for their intelligence needs.
Unlike Qlik Sense and Oracle Analytics, Sourcetable offers seamless data synchronization, merging information from multiple sources into a single, coherent environment. This feature ensures that all data-driven decisions are based on comprehensive and up-to-date information.
The spreadsheet-like interface of Sourcetable is designed for user-friendliness, enabling users of all skill levels to perform complex data analysis without the need for extensive training or technical expertise, unlike the more complex platforms of its competitors.
By reducing the complexity commonly associated with BI tools, Sourcetable enhances efficiency and productivity. It eliminates the steep learning curve, allowing businesses to focus on analysis and insights rather than on learning how to navigate the tool.
Sourcetable's emphasis on a streamlined interface and simplified data integration makes it an optimal choice for businesses looking to improve their SEO strategy. Its straightforward approach allows for quick adjustments and real-time analysis, key for staying ahead in SEO.
Both Qlik Sense and Oracle Analytics are robust data analytics platforms. They offer advanced and predictive analytics, enabling organizations to derive insights from their data.
Qlik Sense and Oracle Analytics integrate AI and ML technologies to enhance data analysis. These AI-powered platforms facilitate automated insight generation and predictive analytics.
Both tools support self-service data visualization, allowing users of varying skill levels to create visual reports without extensive technical knowledge.
Interactive dashboards are central to both Qlik Sense and Oracle Analytics, providing users with tools to explore and visualize data dynamically.
Associative analytics engine in Qlik Sense and similar capabilities in Oracle Analytics allow users to explore data in an intuitive and flexible manner.
Augmented analytics features are present in both platforms, assisting users in reaching their full potential with the data at their disposal.
Qlik Sense and Oracle Analytics are designed to be mobile-friendly, ensuring access to analytics on-the-go and facilitating decision-making from any location.
Both platforms offer a range of deployment options, including cloud-based solutions, catering to the needs of various business environments and industries.
Comprehensive data integration capabilities are provided by both Qlik Sense and Oracle Analytics, allowing for the consolidation of data from various sources for in-depth analysis.
Qlik Sense and Oracle Analytics are trusted by a large number of customers worldwide, demonstrating their effectiveness and reliability as data analytics solutions.
Qlik Sense features a unique associative analytics engine that enables users to explore data in any direction, allowing for discovery without the limitations of query-based analytics. Oracle Analytics utilizes a different approach, relying on a traditional SQL-based query engine.
Qlik Sense offers augmented analytics with AI-powered insights and predictions, including automated insight generation, AI-assisted creation, and AutoML. Oracle Analytics also provides augmented analytics but with differing emphasis on machine learning and automated insights.
Qlik Sense provides extensive data preparation and integration capabilities, allowing for a well-governed data catalog and a variety of data sources. Oracle Analytics also offers data integration but may differ in governance and cataloging features.
Qlik Sense is available as both a cloud-native SaaS solution and an on-premises deployment, catering to different industry needs. Oracle Analytics has its own cloud solution but may offer different on-premises deployment options.
Qlik Sense has a complete set of open APIs for custom app development and embedded analytics. Oracle Analytics also supports customization but may have different API offerings and extensibility options.
Qlik Sense is utilized by over 40,000 customers globally, indicating a wide adoption across various industries. The customer base of Oracle Analytics may vary in size and industry distribution.
Qlik Sense is highly interactive, with capabilities for self-service visualization that do not require coding, whereas Oracle Analytics provides different interactive capabilities and user experiences.
Qlik Sense and Oracle Analytics are both comprehensive data analytics tools, but they differ in their approach to analytics and user interaction. Qlik Sense leverages an AI-powered associative analytics engine, promoting active and augmented analytics, while Oracle Analytics emphasizes traditional data discovery and business intelligence. Qlik Sense is known for its highly interactive visualizations and dashboards, enabling users to explore data from any direction. In contrast, Oracle Analytics provides strong enterprise reporting and pre-built analytic applications. Qlik Sense offers advanced features like AutoML for creating machine learning models, whereas Oracle Analytics includes advanced analytics with Oracle's machine learning capabilities.
Sourcetable is a simpler alternative to both Qlik Sense and Oracle Analytics, targeting users who need to combine data analytics with spreadsheet-like interfaces. Unlike Qlik Sense's extensive AI and ML capabilities and Oracle Analytics' enterprise-focused features, Sourcetable provides an intuitive platform for data analysis without the complexity of the other two solutions. It is suitable for users who require straightforward data manipulation and visualization without the need for advanced analytics or predictive capabilities.
Sourcetable is a spreadsheet application that allows users to access data from most 3rd party applications, query data, and build live models that automatically update. It is typically used by growth teams and business operations folks.
No, Sourcetable does not require coding. Users can start creating reports and building live models without any need for coding skills.
Data integrations update every 15 minutes on the regular plan and every 5 minutes on the pro plan.
Sourcetable costs $50 per month for the starter plan and $250 per month for the pro plan. Additional seats can be added for $20 per month per user.
Yes, all plans have a 14-day free trial period, allowing users to test the features before committing to a subscription.
Qlik Cloud Analytics Plans offer an annual billing cycle ensuring a consolidated yearly expense.
Qlik Cloud Analytics Plans offer an annual billing cycle ensuring a consolidated yearly expense.
The starting rate for the Premium plan is $2,700 per month, providing advanced analytics solutions.
Enterprise plans commence with a data analysis capacity of 500GB per year. They encompass all the features available in the Premium plan, catering to larger-scale business analytics needs.
Oracle Analytics is a subscription-based service, requiring payment for access. The cost of Oracle Analytics is determined by the currency specified by the user.
Oracle Analytics is a subscription-based service, requiring payment for access. The cost of Oracle Analytics is determined by the currency specified by the user.
In comparing Qlik Sense and Oracle Analytics, it's evident that each platform offers distinct features tailored for business intelligence needs. Qlik Sense is known for its associative model and interactive data visualizations, while Oracle Analytics provides robust data management and scalability across enterprise levels.
For businesses seeking a more straightforward approach to business intelligence, Sourcetable offers an alternative. It simplifies the integration of data by syncing information in real-time across various services into an easily navigable spreadsheet interface.
This real-time data synchronization can be particularly beneficial for teams accustomed to spreadsheet environments but in need of a more dynamic and integrated solution for their data analysis tasks.