Choosing the right tool for business intelligence and data analytics can significantly impact an organization's ability to glean insights from data. Qlikview and Airflow offer distinct approaches to data integration, transformation, and visualization, each with its own set of features and use cases.
Qlikview is a data visualization and business discovery tool, providing users with the means to create guided analytics applications and dashboards. Airflow, on the other hand, is an open-source workflow management system, designed to programmatically author, schedule, and monitor workflows.
While both tools serve critical roles in data handling and analytics, businesses may seek alternatives that offer a more intuitive and adaptable interface. This page will explore how Sourcetable provides a modernized, spreadsheet-like interface that syncs with your data, presenting itself as an alternative to Qlikview or Airflow for streamlined business intelligence tasks like reporting and data analytics.
QlikView is a guided analytics solution designed to facilitate rapid development and delivery of analytics applications and dashboards. It is distinguished by its associative engine that dynamically generates new data views, enhancing the analytical experience.
QlikView is a guided analytics solution designed to facilitate rapid development and delivery of analytics applications and dashboards. It is distinguished by its associative engine that dynamically generates new data views, enhancing the analytical experience.
The platform is capable of compressing data and storing it in memory, allowing multiple users to concurrently explore this in-memory data. QlikView's direct connection to data sources ensures that users can analyze data without being constrained by predefined drill paths or dashboards.
Airflow is an open-source platform developed by Apache for orchestrating complex computational workflows. It is a tool designed for scheduling, developing, and monitoring batch-oriented workflows, making it suitable for data engineering and scientific environments.
Airflow is an open-source platform developed by Apache for orchestrating complex computational workflows. It is a tool designed for scheduling, developing, and monitoring batch-oriented workflows, making it suitable for data engineering and scientific environments.
Workflows in Airflow are defined as Python code, which allows for dynamic pipeline generation and flexibility in managing processes. The platform supports the construction of large-scale workflows, ensuring they can be developed and maintained by multiple users within a version-controlled environment.
The platform's architecture enables deployment in various configurations, catering to different workload requirements. Airflow's design is extensible, allowing custom operators and plugins to be added to meet specific needs.
Airflow provides a rich set of scheduling and execution semantics, enabling precise control over when and how tasks are initiated. The user interface offers detailed insights into pipeline states and task execution, aiding in monitoring and troubleshooting.
Despite its capabilities, Airflow is not designed for indefinitely running, event-based workflows, focusing instead on scenarios where tasks can be run on a schedule or triggered by batch job completion.
Associative Engine |
The associative engine is central to QlikView's uniqueness, enabling users to discover data relationships across multiple sources. |
Intuitive Visual Discovery |
QlikView offers intuitive visual discovery features, facilitating easy understanding and manipulation of complex data. |
Augmented Intelligence |
Qlik Cloud Analytics and Qlik Sense enhance human intuition with AI-driven insights, promoting an active analytics approach. |
Deployment Options |
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Scalable and Extensible Architecture |
Airflow boasts a modular architecture that supports scaling to meet high demand. The system uses a message queue to manage workers efficiently, allowing for infinite scalability. Its extensibility lets users tailor libraries to specific environments. |
Pipeline Definition and Dynamic Generation |
Pipelines in Airflow are defined using Python, enabling lean and explicit design. Dynamic pipeline generation is supported, allowing for the creation of pipelines that are instantiated programmatically. |
Templating and Customization |
With the integration of the Jinja templating engine, Airflow allows for parametrization within workflows. This feature enhances customization and reusability of tasks. |
User Interface and Monitoring |
Airflow's modern web application streamlines the monitoring, scheduling, and management of workflows, offering users a comprehensive view of their operations. |
Integration and Accessibility |
The platform includes numerous plug-and-play operators to facilitate interactions with third-party services. Additionally, the open-source nature of Airflow and its Python-based ecosystem make it accessible to anyone with Python knowledge. |
Qlikview empowers users with its self-service BI tool, promoting autonomy in data handling and analysis.
Its dynamic dashboards enable quick interpretation and efficient data analysis, facilitating informed business decisions.
The platform fosters team collaboration, allowing multiple stakeholders to participate in data-driven decision-making processes.
Qlikview is recognized for its simplicity and ease of implementation, reducing the time to value for businesses.
It provides robust data security measures, ensuring that sensitive business data is protected.
High-speed data processing capabilities are a cornerstone of Qlikview, enhancing productivity.
The in-memory technology ensures that data analysis is both fast and reliable.
Efficient data compression techniques are employed, optimizing storage without compromising performance.
Qlikview's strong data visualization tools help in presenting complex data in an accessible format.
The sophisticated QIX Engine is at the core of Qlikview, driving powerful data handling and manipulation.
Its cost-effective nature makes Qlikview a practical choice for businesses looking to leverage BI without excessive expenditure.
Qlikview may not perform optimally for real-time data analysis, potentially hindering timely decision-making.
Despite having less RAM limitations, Qlikview can still encounter performance issues with large data sets.
Technical expertise is required for application development in Qlikview, increasing the barrier to effective utilization.
Embedding Qlikview with other software can be problematic, leading to limited compatibility and integration options.
Users may experience inadequate customer support, posing challenges in problem resolution and user guidance.
The presence of old tools and interfaces in Qlikview may lead to a less intuitive user experience.
The expense associated with Qlikview may be prohibitive for small or medium-sized enterprises.
Poor ratings in surveys reflect user dissatisfaction and potential shortcomings in Qlikview’s offerings.
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.
QlikView can join fields with different names using an alias or AS statement.
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
Simplifying analytics with a company-wide portal
Boosting operational success
Lowering costs and reducing effort to convert loan prospects
Utilizing Airflow for business intelligence tasks extends beyond their primary focus on airflow solutions. While Airflow specializes in air and water balancing, and the testing, adjusting, and balancing of HVAC equipment, their expertise does not directly translate to reporting and data analytics for business intelligence. Therefore, a section about the advantages of using Airflow for business intelligence tasks is not applicable based on the provided facts.
Utilizing Airflow for business intelligence tasks extends beyond their primary focus on airflow solutions. While Airflow specializes in air and water balancing, and the testing, adjusting, and balancing of HVAC equipment, their expertise does not directly translate to reporting and data analytics for business intelligence. Therefore, a section about the advantages of using Airflow for business intelligence tasks is not applicable based on the provided facts.
Using Airflow necessitates proficiency in programming, potentially limiting its accessibility to users without a technical background.
Airflow's architecture demands the configuration of numerous components, which can be a barrier for businesses looking to quickly deploy data analytics solutions.
Due to its complexity, Airflow presents a challenging learning curve that can slow down the adoption process within an organization.
The lack of comprehensive documentation for Airflow can hinder effective implementation and troubleshooting, affecting productivity in business intelligence tasks.
Airflow 2.0 has low DAG scheduling latency out of the box, which improves the efficiency of task scheduling.
A TemplateNotFound error is usually caused by not properly passing the path to an operator that triggers Jinja templating. Ensure files are resolved relative to the pipeline file's location, or add other directories to the template_searchpath of the DAG object.
If you need more throughput, you can start multiple schedulers to handle a larger number of tasks concurrently.
A task may fail with no logs in the UI because the task's worker was unable to write logs or due to the task getting stuck in queued. Investigate resource constraints or configuration issues that may prevent task execution.
You can use Trigger Rules to trigger tasks based on another task's failure. The ALL_FAILED trigger is used when all upstream tasks fail, and ONE_FAILED triggers when just one upstream task fails.
Orchestrating ETL/ELT data pipelines for business analytics
Scheduling and automating core business application workflows
Managing infrastructure for business intelligence tools
Customizing and extending workflows to meet specific BI needs
Sourcetable offers a unified platform that simplifies data integration. Unlike Qlikview, which requires managing separate systems like Qlik Cloud Analytics and Qlik Sense, Sourcetable syncs data across various services directly into a spreadsheet interface. This approach eliminates the complexity of using different solutions for cloud-based or on-premises deployments.
With its spreadsheet-like interface, Sourcetable makes data analytics more accessible to business users. Qlikview, though revolutionary with its associative engine and visual discovery, may still present a learning curve. Sourcetable's intuitive design puts business intelligence in the hands of more people, without the need for specialized training.
Sourcetable excels in simplifying reporting and data analytics. It bypasses the need for AI-powered insights and real-time collaboration features seen in Qlik Sense, focusing on providing a straightforward, effective reporting tool that caters to businesses seeking simplicity and efficiency in their BI processes.
Businesses looking to integrate BI into their operations without incurring significant expenses may find Sourcetable a more cost-effective solution. It reduces the need for multiple analytics tools and on-premises hardware, potentially offering a better ROI compared to using a combination of Qlikview, Qlik Cloud Analytics, and Qlik Sense.
No facts were provided about Airflow, hence a comparison between QlikView and Airflow cannot be established based on the given instructions. To maintain accuracy and adherence to the provided facts, only information about QlikView can be discussed.
No facts were provided about Airflow, hence a comparison between QlikView and Airflow cannot be established based on the given instructions. To maintain accuracy and adherence to the provided facts, only information about QlikView can be discussed.
QlikView is an analytics solution that provides data visualization and business intelligence capabilities. It uses an associative engine for intuitive visual discovery and AI-powered insights. In contrast, Airflow is a workflow automation tool designed to schedule, orchestrate, and manage complex data pipelines.
QlikView offers flexible deployment options, including cloud-based SaaS with Qlik Cloud Analytics and on-premises solutions with Qlik Sense. Airflow is typically deployed on-premises or on cloud infrastructure managed by users, without a dedicated SaaS offering.
QlikView's associative engine revolutionized how organizations interact with data, allowing for real-time collaboration and action. Airflow, however, focuses on programmatically authoring, scheduling, and monitoring workflows, and does not have built-in data visualization or exploration features.
QlikView puts business intelligence in the hands of more people across an organization, promoting data-driven decision-making. Airflow is aimed at data engineers and operators who need to manage complex data workflows and task dependencies.
QlikView integrates AI to enhance human intuition and provide insights within its analytics platform. Airflow does not come with built-in AI capabilities but can be integrated with external AI tools as part of a workflow.
QlikView facilitates real-time collaboration and action among users, while Airflow's primary focus is on workflow automation and does not inherently support real-time collaboration features.
QlikView, as Qlik's first analytics solution, utilizes an associative engine for data processing, enabling intuitive visual discovery. It revolutionized business intelligence by making it more accessible. QlikView supports both cloud-based SaaS with Qlik Cloud Analytics and on-premises deployments through Qlik Sense. It enhances human intuition with AI-powered insights and promotes real-time collaboration and action.
Apache Airflow is an open-source tool for orchestrating complex computational workflows and data processing pipelines. It allows for the scheduling and management of such workflows, ensuring sequential and conditional execution of tasks. Unlike QlikView, Airflow does not focus on data visualization or business intelligence but rather on the automation of scripts and tasks.
Sourcetable is a spreadsheet interface designed for data analysis, reporting, and automation. It provides a familiar environment for those accustomed to spreadsheet software while offering integrations with various data sources. Sourcetable aims to simplify data manipulation and visualization, much like QlikView, but operates from a spreadsheet-centric approach rather than a dedicated BI tool with an associative engine.
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 teams.
Sourcetable replaces workflows that are typically done in Excel, Google Sheets, and Business Intelligence tools, centralizing, analyzing, and modeling data that updates over time without requiring any coding.
Sourcetable costs $50 per month for the starter plan and $250 per month for the pro plan. Additional seats cost $20 per month per user.
Data integrations update every 15 minutes on the regular plan and every 5 minutes on the pro plan.
Yes, all plans have a 14-day free trial period.
The Standard Plan of Qlikview is designed for a minimum of 20 full users. It offers core features such as the ability to connect and combine hundreds of data sources, interactive data visualizations, dashboards, and augmented analytics with AI. Additionally, it enables sharing and collaboration within teams and provides 24x7 customer support. Users are allocated 25 GB/year of data for analysis under this plan.
Qlikview's Premium Plan builds upon the Standard Plan's offerings by doubling the data analysis capacity to 50 GB/year. It includes advanced features like automated report compilation and delivery, connectivity to additional data sources, predictive analytics with automated machine learning, no-code automation builder triggers, and enterprise-grade data governance. A personalized customer success plan is also part of the package.
The Enterprise Plan is the most comprehensive, with a significant increase in data analysis capacity at 500 GB/year. This plan encompasses all the features of the Premium Plan, making it suitable for larger organizations that require extensive data analysis and governance capabilities.
Qlikview proactively alerts users when they are nearing their data capacity limit, ensuring seamless management of data resources.
Airflow is an open-source platform, which implies that it is freely available for use and modification. As a tool created by the community, it does not have a direct cost associated with software licensing.
Airflow is an open-source platform, which implies that it is freely available for use and modification. As a tool created by the community, it does not have a direct cost associated with software licensing.
Its design caters to those with Python knowledge, making Airflow user-friendly for a wide range of professionals. The ease of use can contribute to lower costs in terms of time spent on training and deployment.
Being used across various applications, such as building machine learning models, data transfer, and infrastructure management, Airflow can potentially reduce costs by streamlining these processes.
Rating: Users have rated QlikView with an overall score of 4.3. It receives high marks for functionality at 4.5, indicating strong performance in this area. However, it has garnered a more moderate rating for ease-of-use, customer support, and value for money, each scoring a 4.
Data Visualization: QlikView is versatile in data visualization and is particularly useful for creating sales and inventory dashboards. Nevertheless, its data visualization options are not considered best in class.
Data Sources and Reporting: The tool has the capability to combine data from various sources to create complex reports, but it falls short in detailed reporting and does not allow exporting of a list of all currently licensed users.
Speed: QlikView is praised for its speed in processing data due to in-memory processing. However, it experiences slow response times with heavy data volumes and slight delays in real-time data syncing.
Interface and Usability: While QlikView is described as having an intuitive interface and being easy to use, some users find the UI clunky and less user-friendly with certain data sources.
Extensibility: It supports customization through the use of VBA or other programming languages, but it lacks R integration and does not allow write-back to the database.
Competitive Landscape: Users note that QlikView is not as good as its competitors, Qlik Sense, Tableau, and PowerBI, especially in terms of visualization capabilities. Despite this, it is recognized as a powerful BI tool and is highly regarded for its fast data processing.
Support and Resources: There is a wide user group over the internet and a support forum available. QlikView is considered great for students writing a thesis and provides substantial value for users.
Investment: Despite its benefits, users find QlikView to be expensive compared to other options in the market.
Automation and Scheduling: QlikView can automate report distribution and creation, and it has capabilities for scheduled batch jobs for ETL.
Reviews indicate a significant number of users are dissatisfied with Airflow. Despite its widespread use, this dissatisfaction suggests areas where Airflow may need improvement.
Despite the dissatisfaction, Airflow remains prevalent in the market. Competitors like Astronomer and Dagster have not significantly disrupted Airflow's position.
It's important to consider that the reviews may reflect a biased sample. This caveat should be taken into account when evaluating the overall user sentiment.
In comparing Qlikview and Airflow for business intelligence, it's clear that each tool serves distinct purposes within the BI spectrum. Qlikview is primarily a data visualization platform, while Airflow is a workflow management system designed to schedule and run data processing tasks.
For organizations seeking a more streamlined BI experience, Sourcetable offers a solution that simplifies the process. It achieves this by syncing data in real-time from various services into a spreadsheet interface that many users are already familiar with.
This integration can potentially reduce the learning curve and increase the accessibility of business intelligence for a wider range of users within an organization.