Choosing the right business intelligence tool is crucial for effective data analysis and reporting. Qlikview and Splunk are two prominent options, each with unique features tailored to different needs. This comparison will help clarify their distinct functionalities.
Qlikview is known for its user-friendly dashboard and associative data modeling, while Splunk excels in analyzing machine-generated data. Understanding their core strengths and limitations is key for businesses aiming to leverage data-driven decisions.
As we dissect the capabilities of Qlikview and Splunk, we'll also explore how Sourcetable offers a streamlined alternative. Sourcetable provides a modernized, spreadsheet-like interface that syncs with your data, positioning itself as a practical solution for business intelligence tasks like reporting and data analytics.
QlikView is a guided analytics solution designed for the rapid development and delivery of analytics applications and dashboards. It is recognized for its powerful associative engine, which enables dynamic generation of new data views on the fly. This tool supports in-memory data processing, allowing for the compression and storage of data in memory for swift analysis.
QlikView is a guided analytics solution designed for the rapid development and delivery of analytics applications and dashboards. It is recognized for its powerful associative engine, which enables dynamic generation of new data views on the fly. This tool supports in-memory data processing, allowing for the compression and storage of data in memory for swift analysis.
Splunk is a unified security and observability platform designed to enhance digital resilience for organizations. It integrates artificial intelligence to streamline operations related to security and observability.
Splunk is a unified security and observability platform designed to enhance digital resilience for organizations. It integrates artificial intelligence to streamline operations related to security and observability.
Foundational Analytics Solution |
QlikView holds the distinction of being the pioneering analytics solution, setting the stage for subsequent advancements in the data visualization and business intelligence sectors. |
Associative Engine |
The associative engine is central to QlikView's uniqueness, offering a dynamic way to uncover data insights through its innovative approach to data association and exploration. |
Visual Discovery |
Intuitive visual discovery is integral to QlikView, allowing users to easily navigate and understand complex data through engaging visual representations. |
Qlik Cloud Analytics and Qlik Sense |
Enhancements like Qlik Cloud Analytics and Qlik Sense extend QlikView's capabilities, integrating AI to bolster human intuition with data-driven insights. These tools facilitate a transition from passive data consumption to an active analytics experience. |
Authentication and Security |
Splunk Enterprise ensures secure access by integrating with SAML for single sign-on and supports authentication through LDAP, Active Directory, and e-Directory. |
Machine Learning Capabilities |
With the Machine Learning Toolkit, Splunk Enterprise supports custom machine learning models, outlier and anomaly detection, predictive analytics, and clustering. The toolkit also offers pre-packaged and open source algorithms. |
Data Management and Integration |
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Workload Management |
The Workload Management feature in Splunk Enterprise allocates system resources for various workload types, ensuring efficient performance. |
Extensibility and Data Ingestion |
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Monitoring and Support |
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Licensing and Pricing |
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Qlikview's dynamic dashboards streamline data interpretation, enabling quick and efficient analysis.
Facilitates collaborative decision-making through shared, data-driven insights.
Qlikview is recognized for its simplicity and ease of implementation, enhancing user adoption rates.
Strong data security protocols ensure the protection of sensitive business information.
Known for its speed and robust in-memory technology, Qlikview offers rapid data processing.
Qlikview's effective data compression techniques maximize storage efficiency without compromising performance.
Superior data visualization options translate complex data sets into understandable and actionable insights.
The QIX Engine underpins Qlikview with powerful associative data modeling capabilities.
Qlikview delivers a cost-effective solution for businesses seeking to leverage BI without excessive investment.
Qlikview may not be the optimal tool for real-time data analysis, potentially affecting timely decision-making.
Developing applications in Qlikview requires technical expertise, which can be a barrier for users without programming skills.
Embedding Qlikview with other software systems may be problematic, limiting its adaptability within diverse tech environments.
There are indications that Qlikview may offer suboptimal customer support, impacting user satisfaction and problem resolution.
Qlikview's interface and tools may be perceived as outdated, which can affect productivity and user experience.
The cost of implementing Qlikview may be prohibitive for small or medium-sized enterprises, making it a less viable option for these businesses.
Poor ratings in surveys suggest that Qlikview may not meet the expectations of its users in various aspects of its service.
QlikView uses 3-4 times as much memory when running a script as when working in the layout.
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 handle up to one billion rows of transaction data on large servers.
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 companies
Simplifying analytics across an organization with a centralized portal
Enhancing operational success for fashion and lifestyle retailers
Lowering costs and reducing effort in the financial sector for converting loan prospects
Splunk's capability to prevent major issues contributes to maintaining system reliability, which is critical for data-driven decision-making.
By reducing downtime by 82% and speeding up mean time to remediation by 80%, Splunk enhances operational efficiency, ensuring that reporting and data analytics systems are consistently available for users.
Providing full visibility into the potential impacts of changes, Splunk enables businesses to anticipate and adapt to the consequences on their digital environment, optimizing the data analytics process.
Splunk's acceleration of digital transformation and the 50% increase in the speed of launching new apps facilitate rapid innovation in business intelligence reporting and analytics.
As an industry leader in keeping digital systems secure and reliable, Splunk ensures that business intelligence tasks are performed on a secure platform, safeguarding data integrity and compliance.
Splunk's user interface can be confusing for some users, potentially affecting productivity. Additionally, new users may find the platform has a steep learning curve, which can lead to longer onboarding times.
The expense of implementing Splunk can be a significant factor for businesses, as it is known to be costly. This can impact budget allocations for small to medium enterprises or departments with limited financial resources.
Splunk's complex architecture can complicate implementation processes. It is also difficult to master, which can hinder efficient utilization for in-depth reporting and analytics.
Splunk Light comes with a small user limit, which may not be suitable for growing businesses. Additionally, Splunk may use more CPU resources than alternative monitoring tools, potentially affecting system performance.
Splunk's software support policy ensures that users with an active support subscription receive support services for their products. Once a software version reaches end of life (EOL), no further fixes, services, or troubleshooting are provided.
When a Splunk software version reaches EOL, its useful life ends, and no further fixes, services, or troubleshooting will be provided for that version.
Splunk premium apps reach end of life (EOL) 24 months after their major or minor release.
Splunk extensions are solutions, including apps and add-ons, available for download from Splunkbase.
The support response time for Splunk supported extensions is targeted at P3.
Data optimization
Incident management
Log analytics for IT troubleshooting
Sourcetable offers a streamlined approach to data integration. Unlike Qlikview and Splunk, which may require more complex setup, Sourcetable syncs data across multiple services directly into a user-friendly spreadsheet interface. This reduces the time and technical expertise needed to start analyzing data.
The spreadsheet-like interface of Sourcetable provides an intuitive environment for data analytics. It's a familiar format for most users, making it more accessible than the associative engines and visual discovery tools of Qlikview or the extensive data processing capabilities of Splunk.
With Sourcetable, reporting is made more efficient. The platform's emphasis on simplicity and integration allows users to generate reports quickly, without the potential complexity found in Qlikview's visual discovery or the extensive data indexing of Splunk.
While Qlikview and Splunk support collaboration, Sourcetable's approach to real-time data sharing and editing in a spreadsheet format can facilitate more immediate and straightforward collaborative efforts among team members.
For businesses looking to optimize their investment in business intelligence tools, Sourcetable may offer a more cost-effective solution due to its simplified data management system and lower barriers to entry compared to the more robust offerings of Qlikview and Splunk.
Qlikview and Splunk are both analytics solutions that enable organizations to harness data for strategic decision-making. Each platform uses its own technology to process and visualize data, assisting users in uncovering insights for business intelligence.
Qlikview and Splunk are both analytics solutions that enable organizations to harness data for strategic decision-making. Each platform uses its own technology to process and visualize data, assisting users in uncovering insights for business intelligence.
Qlikview employs an associative engine for data processing, which facilitates intuitive visual discovery. Splunk has its own powerful data processing engine that allows for the analysis and visualization of large datasets, often focusing on machine-generated data.
Both Qlikview and Splunk offer visual discovery features, presenting data in an intuitive format. This approach aids users in quickly understanding complex datasets and identifying trends or patterns.
Qlikview can be deployed on-premises with Qlik Sense or in the cloud with Qlik Cloud Analytics. Similarly, Splunk offers flexible deployment options, including cloud services and on-premises installations, catering to different organizational needs and data compliance requirements.
Qlikview and Splunk both promote real-time collaboration and action, allowing teams to work together efficiently and make informed decisions promptly based on the latest available data.
Both platforms aim to make business intelligence accessible to a broader audience within an organization, enabling more stakeholders to engage with data and contribute to data-driven decision-making.
QlikView is an analytics solution primarily focused on business intelligence, offering both cloud-based SaaS deployments with Qlik Cloud Analytics and on-premises solutions with Qlik Sense. It provides AI-powered insights and facilitates real-time collaboration and action.
Splunk, on the other hand, focuses on searching, monitoring, and analyzing machine-generated big data, via a web-based interface. It is extensively used for monitoring and searching through large volumes of log files and is often employed for IT operations, security, and compliance.
QlikView leverages an associative engine for data processing, which revolutionized the way organizations use data by allowing for intuitive visual data discovery and putting business intelligence in the hands of more users.
Splunk uses a different approach, indexing and correlating information in a searchable repository from which it can generate graphs, reports, alerts, dashboards, and visualizations.
QlikView is specifically designed for business intelligence applications, enabling users to create guided analytics applications and dashboards for business challenges.
Splunk is not typically categorized as a business intelligence tool but is used for operational intelligence, which involves the analysis of data generated by IT systems and technologies.
QlikView works with AI to enhance human intuition, promoting active decision-making and real-time collaboration among users.
Splunk applies AI and machine learning mainly for predictive analytics and troubleshooting within IT and security contexts.
Qlikview is an associative engine-powered analytics solution that promotes intuitive visual discovery, enabling users to explore data without predefined queries. It is well-suited for both cloud-based SaaS deployments with Qlik Cloud Analytics and on-premises solutions with Qlik Sense. Qlikview's AI-powered insights and real-time collaboration capabilities allow for active, agile decision-making. It was the first analytics solution offered by Qlik and has revolutionized business intelligence by making it more accessible.
Splunk specializes in analyzing machine-generated data, primarily for IT operations, security, and compliance. Unlike Qlikview, Splunk's primary focus is on log management and operational intelligence. It also offers both cloud and on-premises deployments, providing real-time data processing and insights. Splunk's unique selling point is its ability to handle large volumes of data and complex event processing.
Sourcetable is not discussed in the provided facts. Therefore, a comparison cannot be made based on the instructions given.
Qlikview and Splunk both offer analytics solutions with cloud and on-premises options. Qlikview is centered around business intelligence and data discovery through its associative engine, whereas Splunk focuses on machine data and log analysis. Qlikview enhances user intuition with AI and visual discovery, whereas Splunk addresses high-volume data processing and event correlation. Both enable real-time collaboration and decision-making but serve different primary use cases and end-user profiles.
Sourcetable is a spreadsheet application that replaces workflows typically done in Excel, Google Sheets, and Business Intelligence tools. It is used by growth teams and business operations teams who need to centralize, analyze, and model data that updates over time.
Sourcetable allows users to access and sync data from over 100 applications and most databases, facilitating the centralization of data for easy analysis and modeling.
No, Sourcetable does not require any coding. Users can query data and build live models that automatically update without the need for programming skills.
Data integrations update every 15 minutes on the regular plan and every 5 minutes on the pro plan.
Sourcetable is $50 per month for the starter plan and $250 per month for the pro plan. All plans include a 14-day free trial period.
Qlikview's standard plan mandates a minimum of 20 full users. It offers 25 GB/year of data for analysis, integration of hundreds of data sources, interactive visualizations, dashboards, AI-driven augmented analytics, team collaboration tools, and round-the-clock customer support.
Both premium and enterprise plans extend the standard plan by doubling the data capacity to 50 GB/year and 500 GB/year, respectively. They add functionalities like automated report generation, advanced data source connections, predictive analytics, no-code automation, and enhanced data governance. A personalized customer success plan is also included.
Qlikview proactively alerts users as they near their data capacity limits, enabling effective data management across all plans.
Splunk provides a range of pricing options to accommodate various customer needs. This flexibility ensures that organizations can select a plan that aligns with their specific workloads and data types. Splunk's pricing structure is designed to offer both predictability and flexibility, catering to diverse operational scales and requirements.
Splunk provides a range of pricing options to accommodate various customer needs. This flexibility ensures that organizations can select a plan that aligns with their specific workloads and data types. Splunk's pricing structure is designed to offer both predictability and flexibility, catering to diverse operational scales and requirements.
Different pricing plans are available for diverse workload demands. Customers can choose a plan best suited for their volume and type of data processing.
Splunk has tailored pricing plans according to the types of data ingested, allowing for cost-effective solutions for structured and unstructured data.
For Splunk observability products, pricing is structured around the number of hosts, enabling scalable solutions for monitoring and analytics.
Each Splunk product comes with its own set of pricing options, giving customers the ability to select the most relevant features for their use case.
Splunk's pricing model is designed to provide cost predictability while allowing flexibility to adapt to changing business needs and scaling requirements.
QlikView holds an overall rating of 4.3 out of 5. It scores 4.5 on functionality and 4.0 in ease-of-use, customer support, and value for money.
Users acknowledge QlikView's versatility in data visualization and its ability to integrate and analyze data from multiple sources. Its functionality is appreciated in creating complex reports and dashboards, particularly for sales and inventory. However, it is noted to have limitations in visualization capabilities compared to competitors.
The tool is commended for being easy to use and fast, with in-memory processing contributing to its speed. However, there's feedback highlighting a clunky UI and difficulties with certain data sources like BW and Big Data.
QlikView has an active user group and support forum. It is considered beneficial for students and offers value through ease of implementation and report automation.
Some reviews indicate that QlikView is not as good as its successor Qlik Sense, or other competitors like Tableau and PowerBI, particularly in visualization and detailed reporting.
Despite providing a ton of value, QlikView is considered expensive by some users.
Qlikview and Splunk offer robust solutions for business intelligence, each with distinct features tailored to different analytical needs.
While Qlikview provides interactive data visualization and discovery applications, Splunk excels in analyzing and visualizing machine-generated data.
Sourcetable offers a simplified business intelligence approach by seamlessly syncing data in real-time across various services into an easy-to-use spreadsheet interface.