When it comes to business intelligence (BI) tools, Google Looker and Jaspersoft stand out for their data analytics and reporting capabilities. These platforms offer diverse features and integrations, catering to different business needs and technical skill levels.
Choosing the right BI tool requires a thorough comparison to understand how each one fits into your data strategy. This webpage will compare Google Looker with Jaspersoft across various parameters including ease of use, customization, and scalability.
We will also explore how Sourcetable offers a contemporary alternative with a spreadsheet-like interface that effortlessly syncs with your data, providing a streamlined solution for your BI tasks.
Google Looker is a business intelligence platform that enables users to access, analyze, and act on their data. As a self-service and governed BI platform, it offers capabilities to build custom applications with trusted metrics. Looker provides a suite of tools for delivering data experiences, including the ability to chat with business data and utilize generative AI for developing data-powered applications.
Google Looker is a business intelligence platform that enables users to access, analyze, and act on their data. As a self-service and governed BI platform, it offers capabilities to build custom applications with trusted metrics. Looker provides a suite of tools for delivering data experiences, including the ability to chat with business data and utilize generative AI for developing data-powered applications.
Operating in the cloud, Looker facilitates integration with users' existing BI environments through Looker modeling. This platform is a component of Google Cloud, reflecting its integration with Google's suite of cloud services and tools.
Jaspersoft is a comprehensive reporting and analytics platform that has been evolving for over twenty years. Its core functionality is to provide tailored reporting and analytics services to meet customer demands. Recognized for its flexibility, Jaspersoft can process both high-volume, pixel-perfect reports as well as ad hoc reports efficiently.
Jaspersoft is a comprehensive reporting and analytics platform that has been evolving for over twenty years. Its core functionality is to provide tailored reporting and analytics services to meet customer demands. Recognized for its flexibility, Jaspersoft can process both high-volume, pixel-perfect reports as well as ad hoc reports efficiently.
The platform is known for its customization capabilities, allowing it to be seamlessly integrated into various environments. Jaspersoft's architecture-agnostic nature ensures that it can be deployed in diverse settings, including private clouds, on-premise infrastructures, and hybrid environments.
Compatible with multiple cloud services and environments, Jaspersoft can be utilized with AWS, Microsoft Azure, Docker, and Google Cloud, among others. This compatibility underscores its versatility and ability to adapt to different architectural requirements.
Jaspersoft is specifically designed to be embedded within other applications, enhancing their value, adoption, and efficiency. Its ability to integrate smoothly into any architecture without disrupting existing systems makes it a strategic choice for businesses looking to empower their applications with advanced reporting and analytics functions.
Business Intelligence Tool |
Google Looker is a robust BI tool that provides enterprise-class business intelligence capabilities. |
Real-Time Data View |
A fresh, consistent, and governed real-time view of data from multiple clouds is available through Looker. |
Data Access and Integration |
Looker allows users to access and analyze data across various platforms, integrating seamlessly with Looker Studio and the Google Cloud console. |
LookML for Data Modeling |
Central management of business rules and definitions is facilitated by LookML, a SQL-based modeling language, with Git version control for collaborative development. |
Enterprise Scalability |
As a core product of Google Cloud, Looker is built on a scalable infrastructure and is provided as a Google Cloud service. |
Embedded Analytics |
Insights can be integrated into workflows, as Looker embeds insights in the places users work and offers prebuilt integrations with robust APIs. |
Report and Dashboard Creation |
Report and dashboard generation is simplified, supporting proactive insights for informed decision-making. |
Design & User Interface |
Jaspersoft Studio offers a robust report designer with a drag-and-drop interface, enhancing productivity and design efficiency. Built on the Eclipse platform, it features a dockable and configurable interface, allowing for a tailored user experience. The visual designer component, along with a report inspector, provides a structured view of report elements, while the property views simplify object property editing. |
Expression & Query Tools |
The new expression editor in Jaspersoft Studio supports built-in and user-defined functions, offering powerful data manipulation capabilities. Enhanced dataset and query dialogues outperform iReport alternatives, granting more robust data handling. |
Productivity Enhancements |
Features like unlimited undo/redo, copy-paste improvements, and asynchronous report running for quick previews boost user productivity. Additionally, Jaspersoft Studio provides precise classpath management and report design precision, further streamlining the reporting process. |
Advanced Configuration |
With Jaspersoft Studio, users can specify properties at various levels, from workspace to individual files. It also offers flexibility in sizing and positioning with different measure units and manages font and component support per project. |
Report Management & Integration |
Jaspersoft Studio excels in handling published and modified reports on servers, and integrates seamlessly with Eclipse for JR component and DataAdapter testing. Its interactive web report viewer enhances user interaction with reports. |
Wizards & Editors |
Wizards for report, subreport, and group creation simplify complex tasks, and specialized editors for hyperlinks, padding, and borders allow for detailed report customization. |
Looker Studio Pro enables comprehensive data exploration, allowing users to answer complex business questions. It provides robust tools for building visualizations, which helps in making data-driven decisions.
Designed for medium and large-scale enterprise environments, Looker Studio Pro is equipped with enterprise-level features that manage large datasets and complex analytics requirements.
Looker Studio Pro enhances team collaboration by allowing users to manage team content effectively. It streamlines sharing insights and fosters a collaborative workspace for data analysis.
With access to enterprise support, users receive assistance for their business intelligence tasks, ensuring reliability. Sharing dashboards is simplified, making it an efficient tool for reporting and analytics.
Limited Connectivity: Google Looker users face difficulties with connectivity, particularly when migrating data from platforms like AWS to BigQuery.
Steep Learning Curve: New users find Google Looker's learning curve steep, making it less intuitive and challenging to master.
Complex Sharing Mechanism: The complexity of the sharing mechanism hinders efficient collaboration and data distribution.
Performance Issues: Sluggish performance is a common issue, with users reporting slow load times and lag, especially when handling many graphs on a single page.
Expensive Onboarding: The initial cost of onboarding for Google Looker can be high, potentially impacting budget considerations for businesses.
Limited Training Resources: There is a lack of readily available training materials and documentation, which can delay user proficiency and effectiveness.
Stringent Access Control: Security protocols can be restrictive, with the security team imposing tight access controls, affecting user flexibility.
Looker Support is available 24/7 in English.
Yes, support is available from 5:00 PM JST – 9:00 AM JST, Monday – Saturday, weekends, and holidays for Japanese Language.
Customer-hosted instances running an unsupported Looker version must update to a supported Looker version to receive Looker Support.
Looker Support is available to users with the Tech Support Editor IAM role and to administrators and developers on instances using Legacy Support.
Looker (original) instances need to have the Google Cloud Project number filled in on the Admin General Settings page to get Looker Support.
Reducing client report time
Modernizing business intelligence systems
Embedding analytics in a quote-to-revenue platform
Jaspersoft's architecture supports the creation of modular and scalable reports, catering to the evolving needs of businesses.
The platform is capable of generating pixel-perfect reports, ensuring high precision in design and layout.
With Jaspersoft, users access a pixel-perfect design environment that enhances report development efficiency.
Jaspersoft provides a range of out-of-the-box and custom expressions, offering flexibility for complex reporting requirements.
Users can create ad hoc reports quickly, allowing for immediate data analysis and decision-making.
The intuitive interface of Jaspersoft streamlines the user experience, making it accessible for users of all skill levels.
Embedding reports and dashboards into applications is straightforward with Jaspersoft, ensuring a seamless user experience.
Jaspersoft's compatibility with various architectures, including on-premise and cloud solutions, provides flexibility in deployment.
As an open-source solution, Jaspersoft benefits from a vibrant and active user community for ongoing support and innovation.
Jaspersoft has faced criticism for security violations, notably with plain text passwords present in the source code, raising concerns about data protection. Performance issues, such as slow report refresh times, can disrupt productivity, and the absence of automated purging for scheduled reports can lead to data management challenges.
The platform's user interface is considered outdated, which can impact user adoption and efficiency. Users from non-Java backgrounds may find it particularly difficult to navigate and operate Jaspersoft, leading to a steeper learning curve and extended implementation times for security measures.
Handling large data sets is a noted weakness of Jaspersoft, with inefficiencies in memory optimization and application performance when dealing with larger reports. Scalability to large volumes of data is also problematic, and the platform does not support lazy loading of records, which can be a limitation for data-heavy environments.
Creating custom or pixel-perfect reports with Jaspersoft Studio is challenging, and the tool is resource-intensive. The outdated UI of Jaspersoft Studio and its overall complexity contribute to a less intuitive report design experience, impacting the development of visually appealing and accurate reports.
Yes, JasperReports Server and Jaspersoft OLAP have moved to their own pages to facilitate easier searching and updating.
JasperReports Server Professional has more features than the Community Edition.
Yes, it is possible to embed JasperReports Server in another web application.
Automating marketing workflows
Bulk content creation
Integrating Jasper with existing team tools
Integrating Jasper into external SaaS applications
Providing in-app AI generated content
Sourcetable offers a more simplified reporting process than Google Looker and Jaspersoft by integrating data across various services into an accessible spreadsheet-like interface, facilitating ease of use and efficiency.
Compared to the more complex platforms of Google Looker and Jaspersoft, Sourcetable simplifies the data analytics process by providing a user-friendly environment that requires less technical expertise.
The ability of Sourcetable to sync data from multiple sources into a singular interface provides a consolidated view of information, which can be more challenging to achieve with Google Looker or Jaspersoft.
Sourcetable's spreadsheet-like interface is inherently familiar to a wide range of users, making it a more accessible option for business intelligence tasks than the potentially more specialized interfaces of Google Looker and Jaspersoft.
Both Google Looker and Jaspersoft function as business intelligence platforms. They enable organizations to access, analyze, and act on data. This shared capability allows for informed decision-making and strategic planning.
Google Looker and Jaspersoft offer self-service business intelligence, allowing users to independently explore and leverage data without extensive technical knowledge. This empowers end-users to generate insights and reports.
Both platforms support embedded analytics applications. They can be integrated into existing systems, enabling a seamless data experience within other applications.
Google Looker and Jaspersoft facilitate embedded data modeling. Users can define data relationships and prepare data models directly within the platforms, enhancing the analytical process.
Google Looker allows users to build data-powered applications, a feature that is also typically supported by Jaspersoft. This enables the creation of custom applications driven by business intelligence.
Google Looker provides a platform for both self-service and governed business intelligence, catering to different user needs. Jaspersoft, while also a BI tool, typically emphasizes more on reporting and data visualization.
Looker allows users to build data-powered applications directly within the platform. Jaspersoft's focus is more on embedding reports and dashboards into applications, rather than building applications itself.
Google Looker has a generative AI feature that enables advanced data exploration and analysis. Jaspersoft does not prominently feature generative AI capabilities.
Both platforms allow for data access and analysis, but Looker emphasizes the ability to act on data through the building of workflows and applications, enhancing data utilization in business processes.
Looker and Jaspersoft both offer strong embedded analytics capabilities. However, Looker also includes embedded data modeling, which allows for a more robust integration of data analytics within software applications.
Looker provides a unique feature allowing users to chat with business data, facilitating a conversational approach to data analysis. Jaspersoft does not offer this specific form of interactive data engagement.
Google Looker is a business intelligence platform that provides both self-service and governed BI. It enables users to build data-powered applications and offers a generative AI feature. Looker is capable of accessing, analyzing, and acting on data, delivering trusted data experiences. It supports embedded analytics applications, data modeling, and is used for organizational and self-service business intelligence. Additionally, Looker enables building workflows and applications, and offers the capability to chat with business data.
Jaspersoft is a business intelligence tool that is known for its reporting capabilities. It allows for the creation of pixel-perfect reports which can be embedded into web or mobile applications. While it also provides analytics and data visualization, it differs from Looker in that it may not offer a generative AI feature or the ability to build data-powered applications. Its focus is more on traditional reporting and less on modern BI aspects like self-service analytics or chat with data features.
Sourcetable is a spreadsheet-based tool that focuses on simplicity and ease of use for analyzing and visualizing data. It is designed for users who prefer a spreadsheet interface with added capabilities for data analysis. Unlike Looker, Sourcetable does not specialize in embedded analytics or building complete data-powered applications. It may not provide governed BI to the extent of Looker or the advanced reporting features of Jaspersoft.
Sourcetable is a spreadsheet application designed for growth teams and business operations teams. It's used to centralize, analyze, and model data that updates over time, replacing traditional workflows in Excel, Google Sheets, and Business Intelligence tools.
Sourcetable syncs data from over 100 applications and most databases, allowing users to access and query this data within its platform. Data integrations update every 15 minutes on the regular plan and every 5 minutes on the pro plan.
No, Sourcetable does not require any coding. Users can query data and build live models that update automatically without the need for coding skills.
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.
Yes, all plans come with a 14-day free trial period, which includes 5 seats for users to test the platform's capabilities.
Google Looker's pricing structure comprises two principal components: platform pricing and user pricing. Platform pricing involves the cost of running a Looker instance, which encompasses platform administration, integrations, and semantic modeling features. User pricing pertains to the licenses for individual users to access the Looker platform. The cost incurred is contingent on the user type and their permissions.
Google Looker's pricing structure comprises two principal components: platform pricing and user pricing. Platform pricing involves the cost of running a Looker instance, which encompasses platform administration, integrations, and semantic modeling features. User pricing pertains to the licenses for individual users to access the Looker platform. The cost incurred is contingent on the user type and their permissions.
Platform pricing is the foundational cost for deploying a Looker instance. This fee is essential for maintaining the instance and enabling various platform capabilities. Charges related to platform administration, integrations, and semantic modeling are all included under this category.
User pricing is determined by the type of Looker license required for each user. Three license categories exist: Developer User, Standard User, and Viewer User. The cost varies based on user permissions within the Looker platform.
Each Looker instance is linked to a billing account, which is charged for any new instances or additional users. Google Looker offers three platform editions—Standard, Enterprise, and Embed—with costs that differ according to user type and permissions. Subscriptions can be purchased annually with options for one, two, or three-year terms.
Jaspersoft offers multiple purchasing channels. Customers can buy Jaspersoft through Amazon's marketplace or directly from Jaspersoft's sales team. Additionally, Jaspersoft's cloud-based services are accessible for purchase.
Flexible pricing models are available. Jaspersoft provides an hourly service option and an annual subscription model to accommodate varying usage needs.
Jaspersoft for AWS is listed separately, with a specific option for Multi-Tenancy. This allows for launching Jaspersoft directly from the AWS Marketplace.
Technical support is accessible through Jaspersoft's sales team, ensuring assistance is available for users post-purchase.
Google Looker is recognized as a business intelligence (BI) and analytics platform. It has received criticism in user reviews, with some users considering it the worst reporting tool available.
Compared to other products, both free such as Data Studio and paid options like Tableau, users suggest that these alternatives are superior to Looker in terms of functionality and user experience.
These insights are based on user reviews and ratings, but specific sources of the reviews are not provided.
In comparing Google Looker and Jaspersoft, it's clear that each platform has distinct features tailored to different business intelligence needs. Looker excels with its integration into the Google ecosystem, while Jaspersoft offers robust reporting capabilities.
For businesses seeking a more streamlined approach, Sourcetable might be the ideal solution. It simplifies the business intelligence process by syncing data in real-time across various services into a user-friendly spreadsheet interface.
Choosing the right tool depends on the specific needs and existing infrastructure of an organization. It's important to consider the ease of use, integration capabilities, and the level of complexity required for data analysis when making a decision.