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QlikView vs Oracle Analytics: A Comparison Guide

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    When it comes to business intelligence and data visualization, Qlikview and Oracle Analytics are two of the heavyweight platforms that organizations consider. Each offers a unique set of features and capabilities that cater to different business needs.

    This comparison will delve into the strengths and weaknesses of both Qlikview and Oracle Analytics to help you determine which might be best suited for your enterprise's reporting and data analytics tasks.

    Additionally, we'll introduce how Sourcetable presents an alternative solution with its modernized, spreadsheet-like interface that syncs with your data, potentially streamlining your business intelligence processes.


    What is QlikView?

    QlikView is a guided analytics solution designed for rapid development and delivery of analytics applications and dashboards. It features an associative engine that enables dynamic generation of new data views, allowing for an interactive and associative experience during data analysis.

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    What is Oracle Analytics?

    Oracle Analytics is a comprehensive cloud service designed to support the entire analytics workflow. It enables collaborative analytics at scale, catering to individuals, workgroups, and enterprises across various roles such as IT professionals, executives, data engineers, citizen data scientists, business analysts, and business users.

    • Core Capabilities

    • High-performance platform foundation
    • Flexible data storage options
    • Comprehensive data connectivity
    • Advanced data preparation
    • Robust data flow management
    • Extensive data modeling features
    • Intuitive data visualization tools
    • Efficient data discovery methods
    • Collaborative data sharing functionalities
    • Rigorous data-level security protocols
    • Automation and Mobility

      Oracle Analytics streamlines analytics delivery and business performance monitoring, with mobile applications that provide intelligent data recommendations. It ensures that analytics are both automated and accessible on the go.

    • Customization and Extension

      Oracle Analytics offers interfaces that allow application developers to tailor, enhance, and integrate analytics into varied applications, ensuring a customizable experience for the end-users.


    QlikView Key Features

    Associative Engine

    The associative engine is central to QlikView, enabling dynamic data exploration without pre-defined queries, which sets it apart from other analytics solutions.

    Visual Discovery

    Intuitive visual discovery allows users to easily navigate and understand complex data through visual representations.

    Qlik Cloud Analytics and Qlik Sense

    Supplementing QlikView, Qlik Cloud Analytics and Qlik Sense provide AI-powered insights, facilitating the transition from passive to active analytics. Qlik Cloud Analytics offers a cloud-based SaaS option, while Qlik Sense caters to on-premises deployment requirements.

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    Oracle Analytics Features

    Deployment Flexibility

    Oracle Analytics supports multiple deployment options including cloud service, private hosted cloud, and on-premises, enabling a hybrid deployment strategy that fits various business requirements.

    Data Connection and Management

    With over 35 out-of-the-box native data connection choices, including JDBC, Oracle Analytics allows users to create, manage, and share connections to diverse data sources such as clouds, data lakes, databases, and spreadsheets.

    Shared Semantic Model

    Oracle Analytics provides a business representation of data through a shared semantic model, enhancing consistency and understanding across the organization.

    Data Exploration and Querying

    Users have the capability to visually explore and natively query multiple data sources, facilitating comprehensive data analysis.

    Machine Learning Integration

    Embedded machine learning algorithms empower users to foster an analytics-driven culture, accessible to any user regardless of technical expertise.

    Pricing Models

    Oracle Analytics offers flexible pricing based on consumption, available as a subscription, perpetual license, or CPU license, catering to different budgetary needs.

    Compatibility and Integration

    Compatibility with Oracle Business Intelligence Enterprise Edition ensures seamless integration for users transitioning or augmenting their analytics capabilities.


    Advantages of Qlikview for Business Intelligence

    Self-Service BI Tool

    Qlikview empowers users with a self-service approach, simplifying data analysis and reporting without requiring extensive IT involvement.

    Dynamic Dashboards

    Its dynamic dashboards provide quick and efficient data interpretation, enhancing the decision-making process.


    Qlikview fosters teamwork by enabling collaborative data-driven decision-making across departments.

    Implementation and Usability

    The simplicity of Qlikview's implementation and its ease of use contribute to a smoother adoption within organizations.

    Data Security

    It ensures the protection of sensitive information with robust data security measures.


  • Qlikview's speed is a key factor in its ability to handle large datasets efficiently.
  • The in-memory technology supports rapid data processing.
  • Data compression capabilities allow for optimized storage and quicker analysis.
  • Data Visualization

    Effective data visualization options in Qlikview help in presenting data insights in an understandable manner.

    QIX Engine

    The QIX Engine is at the core of Qlikview's powerful data handling, providing an advanced analytical experience.

    Cost Effectiveness

    Qlikview is a cost-effective solution for businesses looking to invest in business intelligence without excessive expenditure.


    Qlikview Disadvantages in Business Intelligence

    Qlikview can be suboptimal for businesses in need of real-time data analysis due to potential inefficiencies. It also has less RAM limitations which may hinder processing large datasets. The requirement of technical expertise for developing applications with Qlikview can be a barrier for non-technical users.

    Integration and User Experience

    Integrating Qlikview with other software systems can be cumbersome. The user experience may be affected by Qlikview's outdated tools and interfaces, potentially decreasing productivity.

    Support and Costs

    Businesses may encounter difficulties with customer support, which can affect issue resolution and system optimization. Qlikview's pricing structure may be prohibitive for small to medium sized enterprises, making it less accessible. Furthermore, some surveys suggest Qlikview has poor ratings, which could reflect wider user dissatisfaction.


    Frequently Asked Questions About Qlikview

    How does QlikView handle large data sets?

    QlikView can handle a few million rows of typical transaction data on a PC with 512MB of RAM and up to one billion rows on large servers.

    Can QlikView join fields from different sources?

    Yes, QlikView can automatically join fields with the same name and can join fields with different names using an alias or AS statement.

    Is it possible to update a QlikView document with new data?

    QlikView can update a document using incremental reloads.

    How can QlikView be shared with others?

    QlikView can be shared with others using QlikView Server or QlikView Publisher.

    Can QlikView restrict access to certain users?

    Yes, QlikView can limit who can use a document using section access.

    Use Cases for Qlikview

    • Qlikview

      Improving efficiency, customer service, and sales for retail food chains

    • Qlikview

      Simplifying analytics through a company-wide portal for financial services

    • Qlikview

      Boosting operational success for retail clothing companies

    • Qlikview

      Lowering costs and reducing effort in converting loan prospects for financial institutions

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    Advantages of Oracle Analytics for Business Intelligence

    Comprehensive Analytics Suite

    Oracle Analytics Cloud offers a complete portfolio of analytics tools designed for versatile business intelligence tasks, enabling robust data analysis whether implemented in the cloud or on-premises.

    Cloud-Optimized and Autonomous

    Specifically built and deployed for the cloud, Oracle Analytics Cloud leverages an autonomous infrastructure that reduces the need for manual intervention and streamlines analytics processes.

    Self-Service and Advanced Analytics

    With self-service visualization and data preparation, alongside advanced analytics capabilities, users can independently manage reporting and data exploration without extensive technical support.

    Dynamic Modeling and Proactive Insights

    Dynamic what-if modeling and proactive insights support agile decision-making by allowing users to model scenarios and receive forward-looking intelligence.

    Accessibility and Mobile Analytics

    Oracle Analytics Cloud's mobile analytics are self-learning, providing insights on any device, ensuring decision-makers have access to critical information anytime, anywhere.

    Comprehensive Data Connectivity

    The ability to connect to all data sources and ask any question of any data underscores Oracle Analytics Cloud's capacity to handle diverse data sets and complex queries.

    Natural Language Processing and Machine Learning

    Integration of natural language insights, machine learning, and voice-to-text features facilitate intuitive interaction with data and automate insight discovery.

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    Disadvantages of Using Oracle Analytics

    Documentation and Data Collection

    Oracle Analytics presents challenges in collecting data from on-premise services due to inadequate documentation. This shortfall complicates the process for businesses seeking to integrate their local data repositories with the platform.

    User Experience and Setup

    The platform's user experience is suboptimal, which can hinder productivity and user adoption. Additionally, the initial setup process of Oracle Analytics is complex, and the guided dashboard configuration is not user-friendly, potentially leading to prolonged deployment times.

    Interface and Data Import Limitations

    Oracle Analytics features a dated interface that may not meet modern user expectations for sleek, intuitive design. Furthermore, there is a restrictive 50MB limit for importing data via xlsx files, which can be a bottleneck for businesses with larger datasets.

    Compatibility and Integration Issues

  • Consistent functionality with list visualization is not guaranteed, affecting the representation of data.
  • The platform does not offer exclusivity in data partnerships, which may limit competitive edge in data analytics.
  • Stability and Data Source Challenges

  • As a relatively new tool, Oracle Analytics Cloud (OAC) is still undergoing exploration, which may result in instability and undiscovered issues.
  • Direct integration with databases located on private subnets is lacking, which complicates data accessibility for secure environments.
  • OAC does not have its own reporting database, which can result in additional complexity when setting up reporting frameworks.
  • Known issues with the product, including problematic connections with MongoDB and other data sources, can impede seamless analytics operations.
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    Frequently Asked Questions About Oracle Analytics

    What is Oracle Analytics Cloud and who manages it?

    Oracle Analytics Cloud is a service offered by Oracle that is used to connect to and analyze data. It is managed by Oracle.

    How can I secure access to Oracle Analytics Cloud?

    Oracle Analytics Cloud provides options to restrict access to your service using network security groups as a firewall, and it is compatible with both public and private endpoints.

    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 encounter a '400 Bad Request' error when accessing Oracle Analytics Cloud?

    If you receive a '400 Bad Request' error when accessing a vanity URL in Oracle Analytics Cloud, you can fix the error by clearing your browser cache and cookies.

    How does Oracle Analytics Cloud handle encryption and what should I do if I want to manage my own encryption keys?

    Oracle Analytics encrypts data using Oracle-managed encryption by default. For customer-managed encryption, the Vault service in Oracle Cloud Infrastructure is used, and permissions to read and manage keys are required.

    Use Cases for Oracle Analytics

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      Creating interactive dashboards for data analysis

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      Designing custom data visualizations for unique business needs

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      Developing standalone .dva projects for in-depth analytics with proprietary data


    Why Sourcetable is a Superior Choice for Business Intelligence

    • Streamlined Data Integration

      Sourcetable offers a seamless solution for data integration by synchronizing information across various services into a user-friendly spreadsheet interface. This contrasts with the complex data processing methods of QlikView's associative engine and the diverse deployment models of both QlikView and Oracle Analytics, which can complicate data centralization.

    • Ease of Reporting and Analysis

      The spreadsheet-like interface of Sourcetable dramatically simplifies the reporting and data analytics process. Unlike QlikView, which requires navigating visual discovery tools, and Oracle Analytics, which can involve intricate dashboard configurations, Sourcetable provides an intuitive environment that is accessible to users without specialized training.

    • Efficient Business Intelligence for All Users

      While QlikView democratized business intelligence by allowing more people to use it, Sourcetable takes this further by providing a straightforward platform that does not necessitate a steep learning curve. This ease of use ensures that business intelligence is truly in the hands of all users, enabling quick decision-making and live performance views.

    • Real-time Collaboration

      Sourcetable facilitates real-time collaboration directly within its interface, streamlining the process of sharing insights and making collective decisions. This feature is particularly beneficial compared to the more segmented collaboration approaches of Qlik Cloud Analytics and Qlik Sense.

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    Comparing QlikView and Oracle Analytics

    Both QlikView and Oracle Analytics are prominent solutions in the business intelligence (BI) and analytics space. They offer advanced data visualization and analytics capabilities, catering to the needs of organizations seeking to derive insights from their data.

    Analytics Solutions

    QlikView, a pioneering analytics solution by Qlik, and Oracle Analytics, part of Oracle's suite of business applications, serve as comprehensive platforms for data analysis. Both solutions enable users to analyze data for business intelligence purposes.

    Deployment Options

    QlikView and Oracle Analytics provide flexibility in deployment. They are available in both cloud-based SaaS and on-premises formats, allowing organizations to choose the best fit for their IT infrastructure and data governance requirements.

    Data Visualization and Discovery

    Intuitive visual discovery is a key feature of both QlikView and Oracle Analytics. They offer robust data visualization tools that transform complex data sets into graphical representations, facilitating easier interpretation and decision-making.

    Business Intelligence Accessibility

    QlikView and Oracle Analytics democratize access to business intelligence. They enable a wider range of users within an organization to engage with data analytics, regardless of their technical expertise.

    AI-Powered Insights

    Both platforms enhance their offerings with artificial intelligence (AI). They use AI to provide insights, helping to uncover hidden patterns and predictions that can inform strategic decisions.

    Real-Time Collaboration

    QlikView and Oracle Analytics promote collaborative decision-making. They offer features that support real-time collaboration and action, enabling teams to work together effectively based on the latest data insights.

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    QlikView vs Oracle Analytics

    Deployment Options

    QlikView offers flexibility in deployment options, including cloud-based SaaS with Qlik Cloud Analytics and on-premises solutions with Qlik Sense. Oracle Analytics primarily provides cloud solutions with a focus on Oracle Cloud Infrastructure.

    Data Processing Engine

    QlikView utilizes an associative engine for data processing, allowing for intuitive visual discovery. Oracle Analytics uses a different data processing approach that may not offer the same level of intuitive exploration.

    User Interface and Discovery

    QlikView is recognized for its intuitive visual discovery interface, which facilitates data exploration. Oracle Analytics provides a robust interface but with different visualization capabilities.

    Artificial Intelligence and Insights

    Both QlikView and Oracle Analytics incorporate AI to enhance insights. QlikView is known for augmenting human intuition with AI, while Oracle Analytics focuses on advanced analytics and machine learning within its platform.

    Real-Time Collaboration

    QlikView emphasizes real-time collaboration and action. While Oracle Analytics offers collaborative features, the real-time aspect may vary.

    Regulatory Compliance

    Qlik Sense, an on-premises solution of QlikView, is suitable for industries with strict data regulations. Oracle Analytics also addresses compliance, offering comprehensive security features in its cloud platform.


    Comparison of Qlikview, Oracle Analytics, and Sourcetable

    Qlikview Overview

    Qlikview is Qlik's first analytics solution, known for its associative engine that facilitates intuitive visual discovery and enables business intelligence to be more accessible. It supports both cloud-based SaaS deployments through Qlik Cloud Analytics and on-premises solutions via Qlik Sense, which also offers AI-powered insights and real-time collaboration.

    Oracle Analytics Overview

    Oracle Analytics is a comprehensive analytics platform that provides a wide range of capabilities including data visualization, machine learning, and enterprise reporting. It is available both as a cloud service and on-premises, and it integrates with Oracle's suite of business applications for enhanced data analysis.

    Sourcetable Overview

    Sourcetable is a spreadsheet-like tool designed for data analysis that combines multiple data sources into a single, easy-to-use interface. It automates data updates and allows for collaborative work, providing a user-friendly environment for data manipulation and reporting.

    Comparative Analysis

  • Deployment: Both Qlikview and Oracle Analytics offer cloud-based and on-premises solutions, while Sourcetable focuses on a cloud-based service.
  • Data Discovery: Qlikview uses an associative engine for intuitive visual discovery, whereas Oracle Analytics offers machine learning capabilities for deeper insights. Sourcetable emphasizes ease of use with a familiar spreadsheet format.
  • Collaboration: Qlikview and Oracle Analytics both promote real-time collaboration and action. Sourcetable also supports collaboration with shared views and automated data integration.
  • AI Integration: Qlikview and Oracle Analytics both integrate AI to enhance data analysis. Sourcetable does not explicitly mention AI capabilities.
  • User Accessibility: Qlikview puts business intelligence in the hands of more people, Oracle Analytics integrates with business applications for extended reach, and Sourcetable offers a straightforward approach for users of all levels.
  • Conclusion

    Qlikview, Oracle Analytics, and Sourcetable each have unique strengths in data analytics. Qlikview excels in intuitive visual discovery and accessibility, Oracle Analytics integrates deeply with enterprise systems and machine learning, and Sourcetable offers a user-friendly, spreadsheet-like interface for diverse data sources.


    Frequently Asked Questions About Sourcetable

    What is Sourcetable and who typically uses it?

    Sourcetable is a spreadsheet application that replaces traditional workflows done in Excel, Google Sheets, and Business Intelligence tools. It's typically used by growth teams and business operations folks who need to centralize, analyze, and model data that updates over time.

    Do I need to know how to code to use Sourcetable?

    No, coding is not required to use Sourcetable. Users can query data and build live models without any programming expertise.

    How does data integration work in Sourcetable and how often does it update?

    Sourcetable syncs data from over 100 applications and most databases. On the regular plan, data integrations update every 15 minutes, while on the pro plan they update every 5 minutes.

    What are the pricing plans for Sourcetable and is there a trial period?

    Sourcetable offers a starter plan at $50 per month and a pro plan at $250 per month. All plans come with a 14-day free trial period.

    How quickly can I start creating reports with Sourcetable?

    Users can start creating reports with Sourcetable within minutes after beginning to use the application.


    Qlikview Pricing Structure

    • Standard Plan

      The Qlikview standard plan is designed for a minimum of 20 full users. It offers 25 GB/year of data analysis capacity and a suite of features including data source integration, interactive visualizations, dashboards, AI-driven analytics, collaboration tools, and 24x7 customer support.

    • Premium Plan

      Building upon the standard plan, the premium plan provides 50 GB/year for data analysis. Additional benefits include automated reporting, enhanced data source connections, predictive analytics with machine learning, and no-code automation triggers.

    • Enterprise Plan

      The enterprise plan is the most extensive offering with 500 GB/year for data analysis. It encompasses all premium features plus enterprise-grade data governance and a personalized customer success plan.

    • Additional Features

    • All plans alert users as they approach capacity limits.
    • Premium and enterprise plans share an expanded feature set over the standard plan.
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    Oracle Analytics Pricing Overview

    Oracle Analytics is a subscription-based service with pricing that varies depending on the currency of the user. The service supports multiple currencies for payment, ensuring accessibility for a global user base.

    • Supported Currencies

    • AUD (Australian Dollar)
    • CAD (Canadian Dollar)
    • EUR (Euro)
    • GBP (British Pound Sterling)
    • USD (United States Dollar)
    • Users must subscribe to Oracle Analytics as it is a paid service, with costs incurred in the user's local currency.


    User Reviews and Ratings of QlikView

    QlikView, a business intelligence (BI) and data visualization software, has garnered an overall rating of 4.3. It excels in functionality with a rating of 4.5 and has solid performance in ease-of-use, customer support, and value for money, each scoring a 4.

    • Functionality and Use Cases

      As a versatile tool for data visualization, QlikView is praised for its ability to integrate multiple data sources and create complex reports. It's particularly useful for creating sales and inventory dashboards. Despite its capabilities, QlikView is noted to have limitations in visualization compared to other tools like Tableau and PowerBI.

    • Performance and Usability

      Users find QlikView easy to use and fast at processing data thanks to its in-memory processing. However, it shows a slower response with heavy data volume and a slight delay in real-time data sync. Some users find the user interface (UI) clunky and less user-friendly with certain data sources like BW and Big Data.

    • Support and Community

      The software has a wide user group over the internet and offers a support forum. Its community is seen as an asset, especially for students writing thesis and those seeking peer assistance.

    • Limitations and Comparisons

    • QlikView does not allow exporting of a list of all currently licensed users.
    • It does not support R integration and is not the best fit for detailed reporting.
    • QlikView is critiqued for not having strong visualization capabilities and is considered less capable than Qlik Sense, Tableau, and PowerBI.
    • Moreover, the platform prohibits write-back to the database.
    • Value and Implementation

      Despite some criticisms, many users believe QlikView provides a ton of value and is easy to implement in business environments. It offers customization of reports and processes, which can be achieved using VBA or other programmatic languages. Additionally, QlikView is beneficial for the automation of report distribution and creation.

    • Pricing

      On the pricing front, QlikView is perceived as expensive, which might influence the decision-making of potential users.


    In summary, QlikView and Oracle Analytics each offer unique strengths for business intelligence. QlikView is known for its user-friendly interface and associative data model, while Oracle Analytics provides robust enterprise-grade features and comprehensive data management capabilities.

    For businesses seeking a more streamlined solution, Sourcetable offers an alternative by integrating real-time data syncing across various services into an intuitive spreadsheet interface. This simplification can be especially beneficial for users looking to consolidate their BI processes without the complexity of traditional tools.

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