Qlik Sense vs Oracle Analytics: A Comparative Analysis
Introduction
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.
What is Qlik Sense?
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.
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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.
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Key Features
- AI-driven insights
- Associative analytics for data exploration
- Self-service visualization and dashboard creation
- Natural language interaction and search functionality
- Advanced and predictive analytics
- Automated insight generation and data preparation
- Integration with numerous data sources
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Accessibility and Integration
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.
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Adoption and Trust
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.
What is Oracle Analytics?
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.
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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.
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Capabilities
- Collaborative analytics for teamwork and sharing insights.
- Flexible data storage to accommodate diverse data management needs.
- Automated delivery and business performance monitoring.
- Mobile apps for on-the-go intelligent data recommendations.
- Developer interfaces for customization and embedding analytics.
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Data Management
- Data connectivity for seamless integration with various data sources.
- Data preparation, data flow, and data modeling for streamlined data handling.
- Data visualization and data discovery for insightful analysis.
- Data collaboration tools to enhance decision-making processes.
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Target Users
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.
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Qlik Sense Key Features
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. |
Oracle Analytics Key Features
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. |
Advantages of Qlik Sense for Business Intelligence
Enhanced Data Literacy
Qlik Sense is purpose-built to improve data literacy among users, allowing teams to make data-driven decisions efficiently.
Self-Service Visualization
With its self-service visualization capabilities, Qlik Sense empowers users to create customized reports and analytics without extensive technical expertise.
Cost-Effectiveness
At $30 per user per month, Qlik Sense is a relatively affordable option for businesses seeking a powerful analytics tool.
Device Compatibility
The platform's compatibility with a wide range of devices ensures accessibility and user engagement across different hardware.
Mobile Accessibility
Qlik Sense's mobility feature and responsive design allow for seamless access to BI tasks on-the-go, enhancing productivity.
Security and Collaboration
Robust security features safeguard data integrity, while a centralized hub facilitates collaboration and information sharing among users.
Customization and Expansion
Open APIs and the ability to develop custom apps and visualizations provide flexibility for businesses to tailor the tool to their unique needs.
User Experience
As a user-friendly and AI-powered tool, Qlik Sense streamlines the analysis process, making advanced data analytics accessible to a broader audience.
Disadvantages of Qlik Sense for Business Intelligence
Performance Issues with Large Data
Qlik Sense can experience performance degradation when handling large data sets. This slowdown can impact the efficiency of data analytics processes.
Cost Considerations
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.
Limited Excel Integration
Users may encounter limitations when downloading information to Excel from Qlik Sense, which could impede data portability and reporting flexibility.
Additional Expenses for Extensions
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.
Frequently Asked Questions About Qlik Sense
What payment methods are available for Qlik Sense training?
You can pay for training with a credit card, Training Card, or invoice.
How can I determine which Qlik Sense training courses to take?
You can take training recommendations to find which courses to take for your role.
How do I check my registration status for Qlik Sense training courses?
You can check your registration status on the My Training page.
Can I use a Training Card to pay for all types of Qlik training products?
You can use a Training Card to pay for most Qlik training products, but it cannot be used to pay for certifications.
Is there a time limit to use the Training Card after purchase for Qlik Sense training?
You have 12 months from the purchase date to use the Training Card.
Use Cases for Qlik Sense
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Improving efficiency, customer service, and sales as demonstrated by Dominos
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Creating a company-wide portal for analytics like Intuit
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Enhancing operational success in line with Urban Outfitters
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Reducing the cost and effort to convert loan prospects as seen with Integra
Advantages of Oracle Analytics for Business Intelligence
Comprehensive Analytics Portfolio
Oracle Analytics Cloud offers a broad array of analytics capabilities, facilitating everything from self-service data visualization to advanced analytics.
Cloud-Centric Deployment
Designed and optimized for the cloud, Oracle Analytics Cloud ensures seamless integration with cloud-based data sources and applications.
Flexible Data Analysis
Businesses can analyze data where it resides, in the cloud or on-premises, without data migration issues.
Self-Service Capabilities
Users gain autonomy with self-service visualization, data preparation, and enterprise reporting, enhancing productivity and insight discovery.
Advanced Modeling and Insights
Dynamic what-if modeling and proactive insights support informed decision-making and forecast potential business outcomes.
Accessibility and Autonomy
Accessible on any device and boasting self-learning mobile analytics, Oracle Analytics Cloud accommodates a mobile workforce.
Artificial Intelligence Integration
The integration of machine learning and natural language insights empowers users to gain deeper analytical understanding with minimal effort.
Universal Connectivity
With the ability to connect to all data sources, businesses can gain a holistic view of their performance.
Interactive and Intuitive
Voice to text and natural language querying simplify user interaction, making data analysis more intuitive and less technical.
Disadvantages of Using Oracle Analytics
Documentation and Data Collection
Limited documentation hampers data collection from on-premise services, posing challenges for users trying to integrate Oracle Analytics with existing systems.
User Experience and Setup
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.
Interface and Data Import Limitations
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.
Visualizations and Data Partnerships
Consistency issues with list visualizations may arise, affecting report clarity. The platform's non-exclusivity to data partnerships can limit specialized data integration.
Integration and Database Concerns
Compatibility and Data Source Issues
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.
Frequently Asked Questions About Oracle Analytics
What is Oracle Analytics Cloud and what is its purpose?
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.
How can I secure my Oracle Analytics Cloud service?
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.
Can Oracle Analytics Cloud connect to data sources in different regions?
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.
What should I do if I receive a '400 Bad Request' error when accessing Oracle Analytics Cloud?
To fix a '400 Bad Request' error, clear your browser cache and cookies.
How does Oracle Analytics Cloud handle data encryption and what are the options?
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.
Use Cases for Oracle Analytics
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Creating interactive dashboards for data reporting
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Developing custom visual representations of sales data
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Building .dva projects for individualized data analysis
Why Sourcetable is a Superior Choice for Business Intelligence
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Simplified Reporting and Data Analytics
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.
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Unified Data Synchronization
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.
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User-Friendly Interface
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.
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Efficiency and Productivity
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.
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Optimized for SEO
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.
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Similarities Between Qlik Sense and Oracle Analytics
Data Analytics Capabilities
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.
AI and ML Integration
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.
Self-Service Visualization
Both tools support self-service data visualization, allowing users of varying skill levels to create visual reports without extensive technical knowledge.
Interactive Dashboards
Interactive dashboards are central to both Qlik Sense and Oracle Analytics, providing users with tools to explore and visualize data dynamically.
Associative Exploration
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
Augmented analytics features are present in both platforms, assisting users in reaching their full potential with the data at their disposal.
Mobile Accessibility
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.
Deployment Options
Both platforms offer a range of deployment options, including cloud-based solutions, catering to the needs of various business environments and industries.
Data Integration
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.
Customer Base
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 vs Oracle Analytics
Associative Analytics Engine
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.
Augmented Analytics
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.
Data Integration and Preparation
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.
Deployment Options
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.
Customization and Extensibility
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.
User Base
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.
Interactivity and User Experience
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.
Comparison of Qlik Sense, Oracle Analytics, and Sourcetable
Qlik Sense vs. Oracle Analytics
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 as an Alternative
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.
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Frequently Asked Questions About Sourcetable
What is Sourcetable and who typically uses it?
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.
Does Sourcetable require coding skills to use?
No, Sourcetable does not require coding. Users can start creating reports and building live models without any need for coding skills.
How often do data integrations update in Sourcetable?
Data integrations update every 15 minutes on the regular plan and every 5 minutes on the pro plan.
How much does Sourcetable cost?
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.
Is there a trial period for Sourcetable?
Yes, all plans have a 14-day free trial period, allowing users to test the features before committing to a subscription.
Qlik Sense Pricing Overview
Qlik Cloud Analytics Plans offer an annual billing cycle ensuring a consolidated yearly expense.
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Qlik Cloud Analytics Plans offer an annual billing cycle ensuring a consolidated yearly expense.
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Premium Plan Costs
The starting rate for the Premium plan is $2,700 per month, providing advanced analytics solutions.
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Enterprise Plan Data Capacity and Features
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 Pricing Overview
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.
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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.
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Supported Currencies
- Australian Dollar (AUD)
- Canadian Dollar (CAD)
- Euro (EUR)
- British Pound (GBP)
- US Dollar (USD)
Conclusion
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.
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Simplify Your BI Tooling
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