In the realm of business intelligence, Google Looker and QlikView emerge as prominent tools offering advanced data analytics and reporting capabilities. Both platforms offer unique features tailored to different business needs, with Looker providing a robust data modeling layer and QlikView offering flexible data visualization options.
However, businesses seeking a more intuitive and spreadsheet-like experience may consider Sourcetable. This article will delve into how Sourcetable offers a modernized interface that syncs with your data, serving as an alternative to the traditional BI tools like Google Looker or QlikView.
Google Looker is a business intelligence platform that enables users to access, analyze, and act on data. As a product of Google Cloud, it provides cloud-based data experiences, facilitating the use of analytics and custom application development.
Google Looker is a business intelligence platform that enables users to access, analyze, and act on data. As a product of Google Cloud, it provides cloud-based data experiences, facilitating the use of analytics and custom application development.
QlikView is a guided analytics solution designed for the rapid development and delivery of analytics applications and dashboards. It features an associative engine that generates new data views on the fly, providing a dynamic analytical experience. By compressing data and storing it in memory, QlikView enables multiple users to concurrently explore data with speed and efficiency. Direct connectivity to data sources ensures that users can work with the most current data available. QlikView's flexible approach offers an associative experience across all data used for analysis, without confining users to predefined drill paths or static dashboards.
QlikView is a guided analytics solution designed for the rapid development and delivery of analytics applications and dashboards. It features an associative engine that generates new data views on the fly, providing a dynamic analytical experience. By compressing data and storing it in memory, QlikView enables multiple users to concurrently explore data with speed and efficiency. Direct connectivity to data sources ensures that users can work with the most current data available. QlikView's flexible approach offers an associative experience across all data used for analysis, without confining users to predefined drill paths or static dashboards.
Business Intelligence |
Looker is a robust BI tool designed to provide enterprise-class business intelligence. It offers a real-time view of data that is fresh, consistent, and governed. |
Data Management and Integration |
Looker allows analysts to define and manage business rules with LookML, a SQL-based modeling language. It integrates with multiple clouds and the existing Google Cloud console. |
Collaboration and Visualization |
Users can connect to Looker's semantic model to analyze and visualize data with Looker Studio. It simplifies the creation of reports and dashboards, enhancing collaborative data exploration. |
Infrastructure and Availability |
Built on Google Cloud infrastructure, Looker is available as a core product and service within the Google Cloud portfolio, ensuring seamless integration and robust APIs for extended functionality. |
Intuitive Visual Discovery |
QlikView provides intuitive visual discovery capabilities that allow for easy interpretation and understanding of complex data sets. |
Augmented Intelligence |
Qlik Cloud Analytics and Qlik Sense enhance QlikView by offering AI-powered insights, which support augmented human intuition in the analytical process. |
Analytics Evolution |
QlikView, through Qlik Cloud Analytics and Qlik Sense, facilitates the transition from passive to active analytics, empowering users to take informed actions based on insights. |
Deployment Options |
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Google Looker Studio Pro enables efficient data exploration and the building of visualizations, facilitating comprehensive business analysis.
The tool enhances team collaboration with management features and simplifies sharing insights through dashboards, suitable for medium and large enterprises.
Looker Studio Pro is equipped with enterprise capabilities, providing robust support for complex, large-scale data environments.
Users benefit from enterprise-level support and content management options, ensuring high-quality assistance and organized data governance.
Google Looker users often encounter a steep learning curve, indicating that mastering the platform requires a significant investment of time and effort. Its interface is not very intuitive, which can lead to difficulties in navigating and utilizing the platform efficiently for reporting and data analytics.
Performance drawbacks are noticeable, with the platform being slow and laggy, especially when handling many graphs on a single page. These issues can hinder real-time data analysis and decision-making processes.
Looker's lack of connectivity options and a complicated sharing mechanism pose challenges in integrating with other systems and workflows. Furthermore, migrating data from AWS to BigQuery has been described as painful, potentially disrupting business continuity.
The onboarding process for Google Looker is expensive, potentially affecting the return on investment for smaller businesses. Additionally, the availability of training materials and documentation is limited, making it harder for new users to become proficient with the platform.
Tight access controls imposed by security teams can complicate the process of gaining entry to necessary data within Looker, potentially leading to delays in data analysis and reporting.
Support in Japanese is available from 9:00 AM JST – 5:00 PM JST, Monday – Friday, and from 5:00 PM JST – 9:00 AM JST, Monday – Saturday, including weekends and holidays.
No, Looker Support is only available for instances running an officially supported Looker version.
Yes, instances hosted by Looker automatically update to supported releases.
For Looker (original) instances, you need to fill in the Google Cloud Project number on the Admin General Settings page to get Looker Support.
Looker Support is available to administrators and developers on instances using Legacy Support and to users with the Tech Support Editor IAM role.
Reducing client report time
Modernizing business intelligence
Embedding analytics into platforms
Qlikview's dynamic dashboards facilitate quick data interpretation, enhancing efficient data analysis.
The tool fosters teamwork by enabling collaborative, data-driven decision-making processes.
Its simplicity ensures easy implementation, making Qlikview a user-friendly BI solution.
Qlikview provides robust data security and good speed, thanks to its effective in-memory technology.
With superior data compression techniques, Qlikview optimizes data storage and management.
Advanced data visualization capabilities and the powerful QIX Engine support insightful analytics.
Qlikview is a cost-effective choice for business intelligence, offering a high return on investment.
Qlikview may not be the optimal tool for real-time data analysis, which can hinder the ability to make instant data-driven decisions.
Developing applications in Qlikview necessitates a level of technical know-how, potentially limiting its use to users with advanced skills.
Embedding Qlikview with other software might present difficulties, potentially affecting seamless workflow integration.
Despite having less RAM limitations, Qlikview might still encounter performance issues with large data sets.
Qlikview's customer support has been reported as subpar, which could affect resolution of issues and user satisfaction.
The platform may feature tools and interfaces that are not up-to-date, possibly leading to a less intuitive user experience.
The cost of Qlikview might be prohibitive for small or medium-sized enterprises, making it less accessible to businesses with limited budgets.
In surveys, Qlikview has received poor ratings, indicating a general user dissatisfaction that could reflect on its overall acceptance in the market.
QlikView uses 3-4 times as much memory when running a script as when working in the layout.
Yes, QlikView can join fields with different names using an alias or AS statement.
QlikView can automatically join fields with the same name.
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
Sourcetable offers a spreadsheet-like interface for business intelligence tasks, which can be more intuitive for users familiar with traditional spreadsheets. This simplicity in design may make it a more user-friendly alternative compared to the more complex platforms of Google Looker and Qlikview.
With the capability to sync data across various services, Sourcetable streamlines reporting and analytics by centralizing data management. This contrasts with Google Looker and Qlikview, where the data management approach may be less straightforward for users looking for a unified interface.
While Google Looker provides self-service BI, Sourcetable's spreadsheet-like environment could be more accessible to users without advanced BI knowledge, thus enhancing the self-service experience.
Sourcetable's ability to integrate and sync data seamlessly across services simplifies the creation of workflows. This can be more efficient compared to Google Looker's more complex data modeling and workflow building process.
Both Google Looker and QlikView serve as business intelligence platforms. They provide organizational business intelligence and self-service business intelligence, enabling users to access, analyze, and act on data through various analytics and reporting tools.
Google Looker and QlikView offer self-service and governed BI solutions. This feature allows for a balance between user autonomy in data analysis and centralized control over data governance and security.
Both platforms can be used for embedded analytics applications and data modeling. They integrate analytics within other applications, providing users with the ability to visualize and interact with data in the context of their work.
Google Looker and QlikView allow the building of data-powered applications, enabling organizations to create custom applications driven by business intelligence and analytics.
Google Looker is a platform that supports self-service and governed BI, enabling users to access, analyze, and act on data. It offers organizational and self-service business intelligence, allowing for both oversight and individual exploration. Looker can deliver trusted data experiences and can be used to build data-powered applications and workflows. In contrast, QlikView primarily focuses on guided analytics applications and dashboard development, with an emphasis on interactive data discovery and user-driven business intelligence.
Looker can be used for embedded data modeling, which integrates the BI process within databases to create a single source of truth. It also supports the creation of embedded analytics applications, providing the tools to infuse analytics into existing applications or workflows. QlikView, on the other hand, uses an in-memory data processing feature, which might not be as tightly integrated with live data as Looker's embedded data modeling approach.
Google Looker offers a generative AI feature, which enhances data exploration and insights generation. Additionally, Looker can be used to chat with business data, facilitating a conversational interface for data interaction. QlikView does not natively provide generative AI or chat capabilities, focusing instead on its associative data indexing and user interface for data analysis.
Google Looker is a business intelligence platform that provides both self-service and governed BI, enabling users to access, analyze, and act on data. It supports the creation of data-powered applications and offers a generative AI feature. Looker is capable of delivering trusted data experiences and is suitable for embedded analytics applications and data modeling. It facilitates organizational and self-service business intelligence, allows for the construction of workflows and applications, and even provides an interface to chat with business data.
QlikView is a business discovery platform which offers guided analytics and interactive dashboard capabilities. Unlike Looker, it does not inherently provide a generative AI feature but emphasizes on in-memory data processing and associative data modeling for quick insights. QlikView excels in visualizations and is commonly used for on-premise solutions, though it also supports cloud-based deployments.
Sourcetable is a spreadsheet-like BI tool that targets ease of use with a familiar interface for data analysis. It is designed for cross-database querying and provides a simplified method for combining and visualizing data. While not as feature-rich as Looker or QlikView, Sourcetable focuses on user-friendly data manipulation and collaboration, aiming to reduce the complexity often associated with traditional BI tools.
Sourcetable is a spreadsheet application that allows users to access data from most 3rd party applications, query data, and build live models. 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. It is designed for centralizing, analyzing, and modeling data that updates over time without the need for coding.
Sourcetable costs $50 per month for the starter plan and $250 per month for the pro plan. All plans have a 14-day free trial period.
Data integrations update every 15 minutes on the regular plan and every 5 minutes on the pro plan.
Yes, users can start creating reports with Sourcetable within minutes after signing up.
Platform pricing is the foundational cost for running a Looker instance. It covers platform administration, integrations, and semantic modeling. Each Looker instance incurs platform costs, which are essential for the basic operation and maintenance of the service.
User pricing pertains to individual licenses required for user access to the Looker platform. The cost varies depending on user type and their permissions, with different licenses for Developer Users, Standard Users, and Viewer Users.
Looker billing is managed through a billing account linked to each instance. Charges apply upon instance creation and when adding users. Subscriptions are offered in one, two, or three-year terms, providing flexibility in commitment length.
Qlikview offers tiered pricing plans tailored to meet various data analysis needs. The standard plan is the entry-level option, which mandates a minimum of 20 full users. Premium and enterprise plans expand on the standard offering, catering to more advanced data analysis and business intelligence requirements.
Qlikview offers tiered pricing plans tailored to meet various data analysis needs. The standard plan is the entry-level option, which mandates a minimum of 20 full users. Premium and enterprise plans expand on the standard offering, catering to more advanced data analysis and business intelligence requirements.
User notifications for capacity limits are a standard feature across all Qlikview plans to manage data usage effectively.
Google Looker, a business intelligence (BI) and analytics platform, has received mixed feedback from its users. While it serves as a tool for data analysis, it has been criticized in user reviews.
Users have reported performance drawbacks with Looker. Common complaints include slow processing speeds, software bugs, and a lack of intuitiveness in the user interface, which can hinder efficient workflow.
In comparison to other BI tools, some users have expressed a preference for alternative solutions. Free and paid products such as Data Studio and Tableau have been recommended over Looker for their superior performance and user experience.
The critiques of Looker are sourced from user reviews across various platforms where professionals share their experiences with reporting tools.
QlikView is recognized as a powerful business intelligence (BI) tool, with an overall rating of 4.3. Its functionality is highly regarded, with a 4.5 rating, while ease-of-use, customer support, and value for money each have a solid 4 rating. Users appreciate QlikView for its data visualization versatility and the ability to combine multiple data sources into complex reports.
QlikView is recognized as a powerful business intelligence (BI) tool, with an overall rating of 4.3. Its functionality is highly regarded, with a 4.5 rating, while ease-of-use, customer support, and value for money each have a solid 4 rating. Users appreciate QlikView for its data visualization versatility and the ability to combine multiple data sources into complex reports.
Users note that QlikView is particularly helpful for creating sales and inventory dashboards, though its data visualization options are not considered best in class. It is characterized as less user-friendly with certain data sources like BW and Big Data, and its user interface (UI) is described as clunky. Despite these limitations, QlikView is easy to implement and fast, especially with in-memory processing and scheduled batch jobs for ETL, contributing to its efficiency in automating reports distribution and creation.
QlikView has a support forum, which, alongside its wide user group over the internet, offers a community for users to engage with. This network adds value for users, including students writing their thesis, as they can access a variety of perspectives and assistance.
Despite its drawbacks, users find QlikView to be a valuable tool that provides a ton of value and is fast at processing data. It's versatile, allowing customization of reports and processes using VBA or other programmatic languages, and is considered great for students and professionals alike.
While QlikView offers a free version, it is also perceived as expensive, which may affect its accessibility and adoption for some potential users.
In comparing Google Looker and QlikView, it is clear that each platform has its unique strengths in business intelligence. Looker offers deep integration with Google's suite of tools, while QlikView provides flexible data visualization options.
However, businesses looking for a more streamlined approach may find Sourcetable's real-time data syncing into a spreadsheet interface to be a simpler and more intuitive solution for their BI needs.
Sourcetable's offering can be particularly beneficial for those accustomed to spreadsheet environments and seeking to avoid the complexity that traditional BI tools may present.