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.
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.
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.
The platform compresses data and stores it in memory, facilitating efficient data exploration by multiple users simultaneously. QlikView's capability to connect directly to data sources allows for real-time data analysis without the constraints of pre-defined drill paths or fixed dashboards.
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.
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.
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.
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.
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. |
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. |
Qlikview empowers users with a self-service approach, simplifying data analysis and reporting without requiring extensive IT involvement.
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.
The simplicity of Qlikview's implementation and its ease of use contribute to a smoother adoption within organizations.
It ensures the protection of sensitive information with robust data security measures.
Effective data visualization options in Qlikview help in presenting data insights in an understandable manner.
The QIX Engine is at the core of Qlikview's powerful data handling, providing an advanced analytical experience.
Qlikview is a cost-effective solution for businesses looking to invest in business intelligence without excessive expenditure.
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.
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.
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.
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.
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.
Yes, QlikView can automatically join fields with the same name and can join fields with different names using an alias or AS statement.
QlikView can update a document using incremental reloads.
QlikView can be shared with others using QlikView Server or QlikView Publisher.
Yes, QlikView can limit who can use a document using section access.
Improving efficiency, customer service, and sales for retail food chains
Simplifying analytics through a company-wide portal for financial services
Boosting operational success for retail clothing companies
Lowering costs and reducing effort in converting loan prospects for financial institutions
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.
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.
With self-service visualization and data preparation, alongside advanced analytics capabilities, users can independently manage reporting and data exploration without extensive technical support.
Dynamic what-if modeling and proactive insights support agile decision-making by allowing users to model scenarios and receive forward-looking intelligence.
Oracle Analytics Cloud's mobile analytics are self-learning, providing insights on any device, ensuring decision-makers have access to critical information anytime, anywhere.
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.
Integration of natural language insights, machine learning, and voice-to-text features facilitate intuitive interaction with data and automate insight discovery.
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.
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.
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.
Oracle Analytics Cloud is a service offered by Oracle that is used to connect to and analyze data. It is managed by Oracle.
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.
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.
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.
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.
Creating interactive dashboards for data analysis
Designing custom data visualizations for unique business needs
Developing standalone .dva projects for in-depth analytics with proprietary data
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
QlikView is recognized for its intuitive visual discovery interface, which facilitates data exploration. Oracle Analytics provides a robust interface but with different visualization capabilities.
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.
QlikView emphasizes real-time collaboration and action. While Oracle Analytics offers collaborative features, the real-time aspect may vary.
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.
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 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 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.
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.
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.
No, coding is not required to use Sourcetable. Users can query data and build live models without any programming expertise.
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.
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.
Users can start creating reports with Sourcetable within minutes after beginning to use the application.
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.
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.
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.
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.
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.
Users must subscribe to Oracle Analytics as it is a paid service, with costs incurred in the user's local currency.
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.
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.
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.
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.
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.
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.
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.