Choosing the right business intelligence tool is crucial for effective data analysis and reporting. Tableau and Google Looker are two leading platforms in this space, each with its own strengths and capabilities.
This comparison will delve into the functionalities, ease of use, and scalability of Tableau versus Google Looker. We'll consider the unique features that set each tool apart and how they cater to different business needs.
Additionally, we'll explore how Sourcetable offers a streamlined alternative with a modernized, spreadsheet-like interface that syncs with your data, ideal for those seeking simplicity in their business intelligence tasks.
Tableau is a visual analytics platform established in 2003, originating from a Stanford computer science project focused on enhancing data accessibility through visualization. It is recognized for revolutionizing business intelligence by enabling intuitive, visual analytics.
Tableau is a visual analytics platform established in 2003, originating from a Stanford computer science project focused on enhancing data accessibility through visualization. It is recognized for revolutionizing business intelligence by enabling intuitive, visual analytics.
Google Looker is a business intelligence platform that forms part of the Google Cloud product suite. It provides a self-service and governed BI solution for data analysis.
Google Looker is a business intelligence platform that forms part of the Google Cloud product suite. It provides a self-service and governed BI solution for data analysis.
As a cloud-based platform, Google Looker offers scalable and accessible data solutions. It is compatible with existing BI environments through Looker modeling.
Data Analysis and Visualization |
Tableau provides advanced capabilities for data analysis and visualization. Features like VizQL allow for the creation of visual queries, while Data Stories enable narrative storytelling with data. Geospatial Analytics offers mapping and location-based insights, and interactive features such as Zoom and Pan Controls improve user engagement. |
Data Management |
Efficient data management is facilitated by Hyper, Tableau's high-performance data engine. Tableau Catalog ensures data is easily discoverable and well-managed. The Metadata API provides programmatic access to metadata, and Nested Projects allow for organized content structuring. |
Advanced Analytics |
Tableau supports advanced analytics with features like Forecasting & Predictive Modeling and Explain Data, which offer insights into data trends and explanations for data points. LOD Expressions enable complex calculations at different levels of detail. |
Data Preparation |
Data preparation is streamlined with Prep Conductor for automating and scheduling data prep flows. The Join Step feature simplifies combining data sources, and Bins help in grouping data. |
Integration and Connectivity |
Tableau provides extensive integration options, such as Slack Integration for collaboration and Exchange for sharing resources. Connectivity is enhanced by the ODBC Connector and Data Connect for Tableau Cloud, ensuring access to diverse data sources. |
Performance and Governance |
To maintain system performance, Tableau offers the Workbook Optimizer for analyzing and improving workbook efficiency. Resource Monitoring Tool helps in tracking system usage, and Quality Warnings alert users to potential data issues. |
Deployment and Scalability |
Tableau provides flexible deployment options with Tableau Cloud for a fully hosted solution. Scalability is addressed through features like Tableau Accelerator, which speeds up the creation of dashboards. |
Productivity and User Experience |
User experience is enhanced by productivity features such as Keep Only for data focus, Unified Tooltip for consistent information display, and Table Extensions for extending functionality. The Einstein Copilot for Tableau assists users with AI-powered insights. |
Analytics Evolution |
Tableau continues to evolve with features like Year Over Year Growth analysis, allowing businesses to track performance over time. The Image Role feature provides image-based data categorization, further expanding analytical possibilities. |
Business Intelligence Capabilities |
Looker is a powerful BI tool that offers enterprise-class business intelligence. It ensures a consistent and real-time view of data, facilitating fresh insights. |
Data Governance and Consistency |
Data governance is enforced with Looker, providing users with a governed and consistent data analysis environment. |
Integration and Accessibility |
Looker is robustly integrated within the Google Cloud console, making it a core Google Cloud product. It supports proactive insights through its integration with Looker Studio and prebuilt integrations. |
Data Modeling with LookML |
Looker utilizes LookML, a SQL-based modeling language, allowing analysts to centrally manage business rules and definitions. |
Version Control and Collaboration |
Looker employs a Git version-controlled data model, enhancing collaboration and maintaining the integrity of data models. |
Multi-Cloud Data Access |
Users can access multi-cloud data, ensuring flexibility and a wide range of data sources. |
Report and Dashboard Simplification |
The tool simplifies the creation of reports and dashboards, streamlining the data analysis process. |
APIs and Extensibility |
With robust APIs, Looker offers extensibility, supporting custom applications and workflows. |
Tableau transforms textual and numerical data into interactive dashboards, enhancing the comprehensibility of complex analytics.
With no technical or programming skills required to operate, Tableau enables a broader range of users to perform data analytics.
Tableau's mobile-friendly design ensures access to data and reports on-the-go, facilitating decision-making from anywhere.
As a low-cost solution, Tableau presents an economical option for businesses seeking powerful data visualization tools.
Quality customer service, extensive resources, and excellent mobile support provide a comprehensive support system for Tableau users.
Tableau's large fan base fosters a community-driven support network while its real-time analysis capabilities offer timely insights.
Tableau's ease of use extends to its robust data blending features, simplifying the integration of diverse data sources.
Tableau's high cost of ownership and complex pricing structure can be prohibitive for some organizations. The software is expensive, with Tableau Cloud also incurring high costs and necessitating the purchase of Tableau Desktop for full functionality. Additionally, extensive training is required to fully utilize Tableau's capabilities, adding to the overall investment.
Users face a steep learning curve with Tableau, making it daunting for new users to quickly become proficient. Moreover, the limited ability to customize visualizations, along with formatting and customization options, constrains users from tailoring reports to their specific needs.
Tableau does not integrate well with other business systems, posing challenges for organizations with diverse IT environments. Performance and usability limitations, combined with scaling issues, can hinder efficient data processing and reporting, especially as the volume of data grows.
Compared to other ETL tools on the market, Tableau is not as capable, lacking robust data management features and a data cleaning tool akin to PowerQuery. This necessitates additional "heavy lifting" to prepare and work with data, which can be a significant drawback for businesses that require streamlined data handling processes.
Tableau limits iteration and collaboration, which are key components of a dynamic business intelligence environment. Furthermore, the decline in the quality of Tableau's customer support can leave users without the necessary assistance to overcome technical challenges.
Tableau Reader is a free application that allows users to open and interact with data visualizations built in Tableau Desktop. It can open and revert Tableau workbooks, as well as publish and export them. It also supports interactivity with views and can be used in presentations.
Yes, the Tableau Reader can be set to a preferred language.
Tableau offers several APIs for developers, including the Tableau Connector SDK, Tableau Embedded Analytics Playbook, Tableau Extensions API, Tableau Hyper API, Tableau JavaScript API, Tableau Metadata API, and Tableau REST API.
The Tableau Developer Program is designed to provide developers with the resources and tools needed to build custom solutions and integrations with Tableau.
Community support and discussions about Tableau can be found in the Tableau Community Forums.
Hardware/Software Asset Inventory
Budget Planning and Spend
Sales/Quota Tracking
Employee Satisfaction
Call Center Volume/Workload Distribution
Looker Studio Pro enables efficient data exploration and visualization, assisting businesses in answering key questions through insightful dashboards.
With its enterprise capabilities, Looker Studio Pro is particularly suited for medium to large-scale environments, providing robust support for complex business intelligence needs.
The tool facilitates content management for teams and enhances collaboration, making it easier to share dashboards and insights within an enterprise setting.
Users of Looker Studio Pro have access to enterprise-level support, ensuring reliable assistance for any issues that arise during use.
Lacks connectivity connection, making it challenging to integrate with certain systems. Migrating data from AWS to BigQuery has been described as painful, indicating a potentially complex data migration process.
The platform is slow, and users experience lag, particularly when dealing with many graphs on a single page. This can hinder efficient data analysis and reporting.
The security team's heavy restrictions on access may limit the flexibility and responsiveness that users need for effective data handling.
Users face a steep learning curve and find Looker not very intuitive, which can lead to prolonged onboarding and an increased need for training.
Onboarding is expensive, and the lack of easily available training materials and documentation can demand more investment in learning resources.
The sharing mechanism is complicated, posing challenges for teams that need to collaborate on data analytics and reporting.
Looker Support is available 24/7 in English. For Japanese language, support 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.
No, Looker Support is available only on Looker instances running an officially supported Looker version.
Customer-hosted instances running an unsupported Looker version must update to a supported Looker version to receive Looker Support.
Looker (original) instances need to have the Google Cloud Project number filled in on the Admin General Settings page to get Looker Support.
Looker Support is only available to users with the Tech Support EditorIAM role and to administrators and developers on instances using Legacy Support.
Reducing client report time
Modernizing business intelligence
Embedding analytics in a quote-to-revenue platform
Sourcetable offers a streamlined approach to business intelligence that surpasses the capabilities of Tableau and Google Looker. By integrating data from various services into a user-friendly spreadsheet interface, Sourcetable simplifies the complexity of data analytics and reporting.
Sourcetable offers a streamlined approach to business intelligence that surpasses the capabilities of Tableau and Google Looker. By integrating data from various services into a user-friendly spreadsheet interface, Sourcetable simplifies the complexity of data analytics and reporting.
Sourcetable's spreadsheet-like interface provides a familiar environment for users, reducing the learning curve associated with more complex platforms like Tableau. This simplicity accelerates the data analysis process and enhances productivity.
Unlike Tableau which requires connections to multiple data sources, Sourcetable syncs data across all services seamlessly. This consolidation eliminates the need for multiple integration points, streamlining data management and analysis.
Sourcetable's focus on efficiency in reporting allows businesses to generate insights faster than with Tableau or Google Looker. The intuitive design of Sourcetable ensures that reports are created with minimal effort and time investment.
While Tableau offers AI/ML capabilities, Sourcetable democratizes advanced analytics by making them accessible within its simplified interface, catering to users who require sophisticated analysis without complex tools.
Sourcetable facilitates collaboration through its straightforward interface, bypassing the often intricate collaboration features found in Tableau. This makes sharing insights and working together on data more efficient.
Designed to cater to organizations of all sizes, Sourcetable's scalable solution ensures that businesses can grow without the constraints that sometimes come with more intricate platforms like Tableau or Google Looker.
Both Tableau and Google Looker are recognized as visual analytics platforms. They enable users to visualize and interpret data to derive insights.
Tableau and Google Looker offer flexible deployment options. They can be utilized in the cloud or on-premises, catering to different organizational infrastructure requirements.
Tableau and Google Looker have integrated AI and ML capabilities, streamlining analytical processes and enhancing data-driven decision-making.
Both platforms include governance and data management features, ensuring data integrity and compliance across the analytics workflow.
Tableau and Looker facilitate collaboration among users and storytelling with data, allowing for the creation of compelling data narratives.
The platforms are designed with intuitive interfaces, simplifying the user experience and enabling a broader range of users to work with data.
Tableau offers diverse deployment options including cloud, on-premises, and native integration with Salesforce CRM. Google Looker primarily focuses on a cloud-based approach.
Tableau boasts a community with over a million members, facilitating connection, learning, and inspiration among users. Google Looker has an active user community, but its size is not specified as over a million.
Tableau is recognized for its intuitive interface, designed to help users see, understand, and act on data without interrupting their analysis flow. Google Looker's interface is efficient but may have a steeper learning curve for new users.
Tableau can be natively integrated with Salesforce CRM, enhancing its analytics capabilities for Salesforce users. Google Looker, while offering integration capabilities, does not have a native integration with Salesforce CRM.
Tableau has fully integrated AI/ML capabilities to enrich analytics. Google Looker also offers machine learning insights, but the extent of integration is not compared directly to Tableau's offering.
Tableau emphasizes visual storytelling and collaboration features, allowing for more persuasive data presentations and teamwork. Google Looker provides data exploration and sharing tools but does not specifically highlight visual storytelling.
Tableau includes governance and data management capabilities to maintain data integrity. Google Looker also provides robust data governance tools, ensuring secure access to reliable data.
Tableau is a robust visual analytics platform designed to enable users to see, understand, and act on data. With its community of over a million members, it offers a space for users to connect, learn, and find inspiration. Tableau's deployment options include cloud, on-premises, and native integration with Salesforce CRM. Its fully integrated AI/ML capabilities, along with governance and data management features, make it a comprehensive tool for data analysis. Tableau is recognized for its intuitive products and is used by organizations of all sizes to help accelerate innovation, improve operations, and enhance customer service.
Google Looker is a data exploration and discovery business intelligence platform. It emphasizes the use of LookML for data modeling and provides a web-based interface for exploring data. Looker integrates with the Google Cloud Platform, offering strong database and big data capabilities. It aims to empower users to access, analyze, and visualize data without needing extensive technical skills. Looker also supports collaboration and sharing of insights within organizations.
Sourcetable is a spreadsheet-based tool that focuses on simplifying data analysis and visualization. It allows for combining data from various sources into a single, easily accessible format. Sourcetable is designed with simplicity in mind, catering to users who prefer a spreadsheet-like interface over more complex BI tools. It offers collaboration features and is often favored by smaller teams or businesses that require straightforward data consolidation and reporting functionalities.
Sourcetable is a spreadsheet that allows users to access data from most 3rd party applications, centralize, analyze, and model data that updates over time. It is typically used by growth teams and business operations people.
Sourcetable syncs data from over 100 applications and most databases. Data integrations update every 15 minutes on the regular plan and every 5 minutes on the pro plan.
No, you do not need to code to use Sourcetable. It's designed to replace workflows typically done in Excel, Google Sheets, and Business Intelligence tools without requiring coding skills.
Sourcetable costs $50 per month on the starter plan and $250 per month on the pro plan. All plans have a 14-day free trial period.
Users can start creating reports with Sourcetable within minutes.
Tableau Creator's pricing model is subscription-based, providing users with access to the software for a predetermined period of time. This includes maintenance, ensuring that the software remains current, without additional costs.
Tableau Creator includes Tableau Desktop, Tableau Prep Builder, and a Creator License of Tableau Server or Tableau Cloud in its subscription.
Platform pricing constitutes the cost of running a Looker instance and encompasses platform administration, integrations, and semantic modeling features.
User pricing pertains to the licensing costs for individuals accessing the Looker platform, which varies based on user type and permissions.
Each Looker instance is linked to a billing account, which is charged for new instances and additional user licenses.
The cost for each edition varies according to user type and permissions.
Looker offers annual subscriptions with one, two, and three-year terms.
Tableau is often cited as being expensive, with complex pricing that scales significantly. Reviews from across the web highlight the high cost, particularly noting that full functionality often requires additional purchases, making it costly for smaller companies.
Tableau is recognized for its ability to connect to large data sources and quickly build dashboards. However, users report mixed performance when integrating Tableau with other tools. The requirement of additional tools for modern data analysis is also mentioned.
Tableau's steep learning curve and difficulty to learn are consistent points in user reviews. The platform has a significant number of enterprise features, which take considerable time to master, contributing to its performance and usability limitations.
Tableau Cloud is acknowledged as a fully-hosted, cloud-based solution, but to access full functionality, a purchase of Tableau Desktop is necessary. Users also note the absence of iterative data analysis capabilities in Tableau.
There are mentions of limited formatting and customization options within Tableau. These limitations, along with the performance issues, are part of the considerations that users take into account when reviewing the solution.
Google Looker is identified as a business intelligence (BI) and analytics platform. It has received mixed reviews, with some users considering it the worst reporting tool available.
According to user feedback, other BI tools, including free options like Data Studio and premium services like Tableau, outperform Looker.
Tableau offers robust data visualization tools tailored for complex data analysis, while Google Looker emphasizes integrated business intelligence with an SQL framework.
Sourcetable presents an alternative by providing real-time data syncing across services within an accessible spreadsheet interface, simplifying the business intelligence process.