Choosing the right business intelligence tool is crucial for effective data analysis and reporting. Google Looker and Minitab offer unique features for different analytical needs.
Google Looker excels in big data analytics and visualization, while Minitab is renowned for its statistical analysis capabilities, particularly in Six Sigma and quality improvement projects.
In this comparison, we will delve into the strengths and limitations of both platforms. Additionally, we'll explore how Sourcetable offers a contemporary, spreadsheet-like experience that seamlessly integrates with your data, presenting an alternative for business intelligence tasks.
Google Looker is a business intelligence platform that is part of Google Cloud. It enables users to access, analyze, and act on their data. Looker provides tools for delivering data experiences and allows the integration of generative AI to build data-powered applications. As a cloud-based platform, it offers the flexibility and scalability needed for modern data management and analysis.
Google Looker is a business intelligence platform that is part of Google Cloud. It enables users to access, analyze, and act on their data. Looker provides tools for delivering data experiences and allows the integration of generative AI to build data-powered applications. As a cloud-based platform, it offers the flexibility and scalability needed for modern data management and analysis.
Minitab is a company specializing in data analytics solutions. It provides statistical software for businesses to engage in predictive analytics and continuous improvement. Minitab's suite of tools assists in tracking, managing, and sharing improvement initiatives efficiently.
Minitab is a company specializing in data analytics solutions. It provides statistical software for businesses to engage in predictive analytics and continuous improvement. Minitab's suite of tools assists in tracking, managing, and sharing improvement initiatives efficiently.
Minitab's software is designed to address a range of business challenges. Its tools are tailored for business use, facilitating data-driven decision-making and problem-solving.
Minitab's tools are accessible through cloud-based platforms, allowing for scalable and convenient use across organizations.
Business Intelligence |
Looker is a powerful BI tool that delivers enterprise-class business intelligence. |
Real-Time Data View |
Provides a fresh, consistent, and governed real-time view of data. |
Data Integration |
Looker can access data from multiple clouds and is integrated with Looker Studio for enhanced insights. |
Centralized Data Management |
Allows analysts to define and manage business rules with LookML, a SQL-based modeling language. |
Version Control |
Employs a Git version-controlled data model to ensure data consistency and collaboration. |
Data Exploration |
Enables users to connect to Looker's semantic model for data analysis, exploration, and visualization with Looker Studio. |
Google Cloud Integration |
As a Google Cloud core product, Looker is built on Google Cloud infrastructure, available as a service, and integrated within the Google Cloud console. |
APIs and Integrations |
Features robust APIs and prebuilt integrations for extended functionality. |
Statistical Analysis |
Minitab provides comprehensive statistical analysis options. |
Graphical Analysis |
Minitab's graphical features enhance data visualization. |
Looker Studio Pro enables efficient data exploration, allowing users to answer critical business questions. Its visualization tools help in building insightful dashboards for data analysis.
The platform is tailored for medium to large scale enterprises, offering robust enterprise capabilities to manage complex data and analytics needs.
Looker Studio Pro facilitates team content management, enhancing collaboration amongst team members. Sharing dashboards is streamlined, fostering an environment for informed decision-making.
Users benefit from access to enterprise-level support, ensuring any issues are promptly addressed and allowing businesses to maintain continuity in their data analytics operations.
Google Looker has been reported to have a steep learning curve, making it less intuitive for new users. This complexity can lead to a challenging onboarding process, which is further exacerbated by the lack of readily available training materials and documentation.
Users experience performance drawbacks with Looker, describing the platform as slow and laggy, especially when handling multiple graphs on a single page. This can hinder efficient reporting and data analysis, impacting productivity.
There are notable issues with Looker's connectivity, particularly when migrating data from AWS to BigQuery, which users have found to be a painful process. Additionally, the security measures in place can restrict access, complicating the integration with other systems.
The mechanism for sharing reports and insights within Looker is considered complicated by users, which can impede collaboration within teams and across departments.
Onboarding Looker for business intelligence purposes comes with a high cost, which can be a significant disadvantage for companies looking to manage expenses while still gaining insights from their data.
Support in Japanese is available from 9:00 AM JST to 5:00 PM JST, Monday through Friday, and from 5:00 PM JST to 9:00 AM JST, Monday through Saturday, including weekends and holidays.
Looker Support is only available for instances running an officially supported Looker version. Instances hosted by Looker automatically update to supported releases, but customer-hosted instances must update to a supported version to receive support.
For Looker (original) instances, you need to fill in the Google Cloud Project number on the Admin General Settings page to be eligible for Looker Support.
Looker Support is available to users who have the Tech Support Editor IAM role, as well as to administrators and developers on instances using Legacy Support.
When submitting a support request, you may be prompted to choose from a product area to help categorize your issue for better assistance.
Reducing client report time
Modernizing business intelligence
Embedding analytics in a quote-to-revenue platform
Minitab's interface streamlines reporting and data analytics, enhancing user experience and reducing learning curves.
Robust statistical tools in Minitab facilitate in-depth business data examination, driving informed decision-making.
Effective visualization options in Minitab aid in presenting complex data clearly, crucial for business insights.
Minitab's compatibility with various software packages ensures seamless integration into existing business intelligence systems.
Efficiency-boosting features in Minitab accelerate data processing, optimizing time management in business reporting.
Comprehensive support and resources for Minitab users underpin effective resolution of business intelligence challenges.
Minitab's restricted programming features can be a significant drawback for businesses that require extensive customization or automation in their reporting and data analytics processes.
Beginners may find Minitab challenging to learn, potentially increasing the time and resources needed for training and reducing overall efficiency in business intelligence tasks.
The cost of Minitab is higher than some other analytics tools, which could be a critical factor for businesses with limited budgets or those seeking cost-effective solutions.
The absence of advanced data manipulation capabilities in Minitab can hinder businesses from performing complex data preparation tasks necessary for in-depth analytics.
Businesses requiring comprehensive non-statistical analysis might find Minitab's capabilities limited, affecting the versatility of business intelligence outcomes.
The exclusivity of Minitab to Windows platforms restricts its use in diverse IT environments, potentially excluding businesses that utilize other operating systems.
Yes, Minitab offers special pricing for students and teachers as well as special academic pricing.
Yes, Minitab offers special pricing options for government agencies.
Cleverbridge Customer Service can help with the order and payment process for Minitab products.
Minitab Sales can assist you with product advice.
You should contact Minitab Support for technical assistance.
Maxion Wheels incorporated Minitab Engage into their project management system to increase annual cost savings by 19%
USC Consulting Group used Minitab to reduce overfill, saving a leading candy manufacturer $1.2M
The City of Tyler, Texas saved more than $5 million through Lean Six Sigma projects using Minitab
Takeda Pharmaceutical Company Ltd. increased the efficiency of producing blood clotting drugs with the help of machine learning models in Minitab
Fresnillo Plc used Minitab to increase its monthly revenue
Sourcetable simplifies the complex process of syncing data across various services by providing a spreadsheet-like interface, making it a more straightforward alternative to Google Looker and Minitab for data integration and reporting.
The user-centric design of Sourcetable offers a more accessible approach to data analytics compared to the broader BI platforms of Google Looker and Minitab, which may require specialized knowledge for their full range of features.
By focusing on efficiency, Sourcetable allows for quick setup and deployment, facilitating faster insights compared to the potentially more time-consuming data modeling and application building aspects of Google Looker.
Sourcetable may provide a cost-effective alternative for organizations looking to perform business intelligence without the need for the extensive infrastructure that solutions like Google Looker and Minitab might require.
Both Google Looker and Minitab serve as platforms for business intelligence. Looker provides organizational and self-service business intelligence, similar to Minitab, which is known for its statistical analysis and data interpretation features aiding in business decision-making.
Google Looker and Minitab allow users to access and analyze data. Looker enables building data-powered applications and offers governed BI, comparable to Minitab's data analysis tools which support data-driven decision-making.
Looker's capabilities for embedded analytics applications and data modeling are in line with Minitab's ability to integrate analytics into existing systems, although Minitab's primary focus is on statistical and process improvement tools.
Google Looker is a robust business intelligence platform designed for organizational and self-service BI, offering capabilities to build data-powered applications. It enables users to access, analyze, and act on data, delivering trusted data experiences. Looker also supports chatting with business data, enhancing interactive data exploration.
Looker offers embedded analytics and data modeling, which allows for the integration of analytics into other applications. It facilitates the creation of workflows and custom applications powered by data, demonstrating its flexibility in data utilization.
Unlike Minitab, Google Looker includes a generative AI feature. This allows for advanced data analysis and predictive modeling within the Looker platform, expanding the analytical capabilities beyond traditional statistics.
Google Looker emphasizes self-service capabilities while maintaining governed BI. This approach allows for democratized data access while ensuring data governance and compliance, suitable for a variety of business users.
Minitab is generally known for its focus on statistical analysis, primarily serving users in quality improvement and Six Sigma initiatives. Looker, however, caters to a broader audience seeking comprehensive BI solutions and embedded analytics.
Google Looker is a comprehensive business intelligence platform that encompasses a range of functionalities for data analytics. It provides self-service and governed BI, enabling both autonomy and control in data analysis. Users can build data-powered applications directly within Looker, enhancing productivity and innovation. Looker’s generative AI feature sets it apart, offering advanced data insights. The platform supports access, analysis, and action on data, delivering trusted data experiences through its robust framework. Looker's capabilities extend to embedded analytics and data modeling, making it suitable for organizational and self-service BI. Additionally, it allows the creation of workflows and applications, as well as the unique ability to chat with business data, exemplifying its interactive approach.
Minitab is known for its strong statistical analysis capabilities, often utilized in quality improvement and Six Sigma projects. Unlike Looker, it does not inherently focus on building data-powered applications or chat-based interactions with data. Minitab emphasizes statistical and process improvement tools, which are different from Looker's BI and data modeling features. While it does offer data analysis, it may not provide the same level of self-service BI and data governance that Looker does.
Sourcetable is a spreadsheet-based tool designed for data analysis and visualization, catering to users who prefer the familiarity of spreadsheets. Unlike Looker, it doesn't offer a generative AI feature or the same level of embedded analytics capabilities. While it allows for data analysis, Sourcetable may not deliver the extensive BI experience or the ability to build data-powered applications and workflows like Looker. It is more suited for users seeking straightforward data manipulation and reporting within a spreadsheet environment.
While Google Looker, Minitab, and Sourcetable are all data-centric tools, they cater to different user needs. Looker offers a broad BI platform with advanced features like generative AI and application building. Minitab focuses on statistical analysis for quality improvement, and Sourcetable provides a more familiar spreadsheet experience for data analysis. Understanding the specific capabilities and intended user base of each tool is essential for choosing the right solution for data analytics and BI needs.
Sourcetable is a spreadsheet that centralizes, analyzes, and models data from over 100 applications and databases. It is used by growth teams and business operations teams, replacing workflows done in Excel, Google Sheets, and Business Intelligence tools, without the need for coding.
Data integrations update every 15 minutes on the regular plan and every 5 minutes on the pro plan.
Sourcetable costs $50 per month for the starter plan and $250 per month for the pro plan. Additional seats cost $20 per month per seat.
Yes, all plans have a 14-day free trial period.
No, Sourcetable does not require any coding to use.
Looker platform pricing is a fixed cost for running a Looker instance. It encompasses platform administration, integrations, and semantic modeling features.
User pricing is variable and depends on licensing individual users. The cost fluctuates based on user type and their permissions.
Each Looker instance is linked to a billing account which is charged for instance creation and user additions. Looker offers three platform editions: Standard, Enterprise, and Embed, with costs tailored to user types and permissions.
Looker provides annual subscriptions with one, two, or three-year term options.
Minitab provides a variety of subscription plans with annual options starting at $1851.00 USD. The final cost may include sales tax, which is determined by the user's address. Upon checkout, prices can be viewed in local currency.
Minitab provides a variety of subscription plans with annual options starting at $1851.00 USD. The final cost may include sales tax, which is determined by the user's address. Upon checkout, prices can be viewed in local currency.
Subscriptions encompass all software updates, access to technical support, and free upgrades to the newest versions of the software. This includes Minitab's predictive analytics module which features machine learning algorithms.
Minitab offers modules tailored to different industries and professions. These modules, such as those for healthcare and supply chain, provide targeted prompts and statistical guidance.
User feedback on Google Looker, a business intelligence (BI) and analytics platform, reveals a range of opinions. While it is used for data analytics, some users have expressed dissatisfaction, labeling it as the worst reporting tool available.
User feedback on Google Looker, a business intelligence (BI) and analytics platform, reveals a range of opinions. While it is used for data analytics, some users have expressed dissatisfaction, labeling it as the worst reporting tool available.
Comparisons with other tools suggest that both free and paid alternatives, like Data Studio and Tableau, offer a better user experience than Looker.
Minitab is a data analysis application that has received positive feedback across 308 reviews, boasting an average rating of 4.4. It is praised for its functionality, receiving a 4.5 out of 5 rating in this area, and is considered easy to use with a rating of 4 out of 5 for ease-of-use. Additionally, users are satisfied with the level of customer support and the value for money, both rated at 4 out of 5.
Users in specialized roles such as Black Belts, Quality Chiefs, Lean Experts, and Statisticians find Minitab to be a highly rated statistical software. It is deemed the best tool for quality management, essential for Lean Black Belts, and not restricted to classroom use. Minitab's wide array of statistical analysis tools, graphical outputs, and its deployment capabilities with a license server are highlighted features.
In comparison to other statistical packages, Minitab is easier to use and requires less disk space. It is favored in academic settings for its affordability and offers a comprehensive set of features, including ANOVA and hypothesis tests. While Minitab is considered less complete than some alternatives and its statistical tools relatively basic, it is still the package of choice for many researchers due to its ease of use for data analysis.
Despite its high ratings, users identify areas for improvement. The dashboard and worksheet functionalities need enhancement, and Minitab's inability to create a back-to-back stem plot is noted. Although Excel is recognized to have better graphical outputs, Minitab has been making strides in improving its graphical outputs.
The ratings and reviews are derived from user feedback on Minitab as a statistical software package. These insights reflect the application's performance in data analysis and its reception in various professional fields.
In comparing Google Looker and Minitab, it is evident that both tools cater to different aspects of business intelligence with unique features. Google Looker focuses on data exploration and big data analytics, while Minitab emphasizes statistical analysis and quality improvement.
However, for businesses seeking an even more streamlined approach, Sourcetable offers a solution that consolidates data synchronization across services into a spreadsheet interface, enabling real-time data access and management.
This simplification can be particularly advantageous for users who prefer a more intuitive and less technical interface for their business intelligence tasks.