Top 5 Visualization Tools for BigQuery Users in 2025

Vadym Kramarenko

,

Growth Marketing Manager

July 8, 2024

In the age of data-driven decision-making, selecting the right visualization tool for Google BigQuery can significantly enhance your data insights and reporting capabilities.

This guide explores the top visualization tools that integrate seamlessly with BigQuery, helping you easily visualize complex corporate data.

Whether you are a data analyst, a BI professional, or a business decision-maker, understanding these tools can transform how you handle data, ensuring that you make informed decisions quickly and effectively.

What is Google BigQuery?

Google BigQuery is one of the best data warehouse solutions for storing marketing data that enables superfast SQL queries using the processing power of Google's infrastructure. By storing and analyzing vast amounts of data, BigQuery allows organizations to focus more on extracting value rather than on managing data. It features a fully managed, serverless architecture, eliminating the need for hardware provisioning and maintenance.

BigQuery integrates seamlessly with other Google Cloud services and various data sources, making it a versatile tool for comprehensive data analysis and business intelligence. Its robust security features protect your data, while its pay-as-you-go pricing model offers cost efficiency, making it accessible for businesses of all sizes.

Why Use BigQuery Data for Visualization?

BigQuery is a scalable, serverless platform ideal for storing and querying large datasets. It facilitates complex data analysis without infrastructure concerns. Its seamless integration capabilities, such as ease of connecting BigQuery with sheets and other tools, enhance data storytelling, helping organizations gain deeper insights and foster a data-driven culture.

Single Source of Truth

Utilizing BigQuery as a single source of truth ensures that all organizational data is centralized, standardized, and accessible. This uniformity is crucial for maintaining the integrity and accuracy of data across different departments. Businesses can upload data from Facebook, Google Ads, Instagram, and many other sources for accurate analysis. By having a consistent and reliable data source, organizations can eliminate discrepancies, reduce data silos, and enhance collaboration among teams.

Ability to Build Complex Reports with SQL

BigQuery's compatibility with SQL allows users to create complex reports and dashboards using SQL queries. Users can perform sophisticated queries to extract valuable insights and present them in an easily digestible format. With tools like SQL Copilot, creating tailored reports that meet specific business needs enhances the overall data analysis process and provides deeper insights.

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Improve Reporting Culture

With BigQuery, organizations can foster a culture of data transparency and accountability. Businesses can also upload data to BigQuery to improve reporting culture by centralizing their data in one place, ensuring consistent and accurate information is accessible across the organization. With the flow of consistent and accurate data, BigQuery encourages collaborative decision-making and ensures all stakeholders are informed. This helps everyone contribute to the organization's success through data-driven strategies.

Consistent Data Freshness

BigQuery is one of the leading data warehouses that provides real-time data updates, ensuring the information remains fresh and relevant. This continuous update process is vital for businesses that rely on timely data to make quick decisions. Accessing the latest data at any moment enhances the accuracy and relevance of reports and analyses.

Timely Decision-making

The speed and efficiency of BigQuery empower organizations to make faster, more informed decisions. Access to real-time data analysis and reporting means that businesses can respond promptly to market changes. This agility is crucial in today's fast-paced business environment, where timely decisions can provide a competitive edge and drive success.

Exploring Top BigQuery Visualization Tools

When selecting a visualization tool for BigQuery data, it is essential to consider how well the tool integrates with BigQuery and how it meets the specific needs of your business.

For instance, you can connect BigQuery to tools like Looker Studio, which offers direct integration, providing real-time data access and collaboration features, which are particularly beneficial for teams that rely on up-to-the-minute data reporting.

On the other hand, tools like Tableau and Power BI offer extensive customization and powerful analytics capabilities, which are suitable for deep data exploration and generating actionable insights.

Each tool has unique features, such as drag-and-drop interfaces, advanced analytical functions, and extensive support for custom SQL queries, making it easier to choose one that aligns with your workflow and analytical demands.

1. Google Sheets for BigQuery Data Visualization

Spreadsheet tools, such as Google Sheets, remain irreplaceable in businesses' day-to-day decision-making processes. While advanced tools like Looker Studio, Power BI, or Tableau are fantastic for data visualization, spreadsheets offer a unique set of advantages that make them essential for business operations.

Why Spreadsheets?

Here are some important reasons that make spreadsheets irreplaceable for businesses:

Enhanced Accessibility: Spreadsheets make complex corporate data from warehouses accessible to business users in a familiar format. This accessibility allows users to be hands-on with their data, enabling quick and informed decision-making without relying heavily on IT or data teams.
No Additional Learning Curve: Most business users are already proficient in using spreadsheet tools. By integrating data into spreadsheets, users can utilize existing knowledge to perform data analysis and create pivots, charts, and other data visualizations without needing to learn new tools or systems.
Unified View: Spreadsheets enable the merging of data from different sources, solving the problem of data silos. This unified view helps in comprehensive data analysis, allowing users to combine marketing data with sales data, for example, to gain deeper insights into performance and trends.
Versatility in Data Analysis: Spreadsheets are not just for data entry; they are powerful tools for data analysis and decision-making. They provide flexibility for various types of analysis, from inventory management and campaign analysis to sales performance tracking. This versatility makes spreadsheets indispensable for business reporting.

By making corporate data within warehouses accessible and constantly updated in spreadsheet formats, businesses empower their users to make revenue-driving decisions based on the most current data available. This approach fosters a data-driven culture where insights are easily accessible, and strategic decisions are made efficiently.

How to Connect Data to Google Sheets?

Google's Connected Sheets feature allows users to import BigQuery data into Sheets. This integration allows users to access and analyze BigQuery data directly from spreadsheets without writing complex SQL queries.

Using Connected Sheets, users can pull large datasets from BigQuery, perform in-sheet analysis, and create dynamic reports and dashboards that update automatically with new data. This feature bridges the gap between spreadsheet simplicity and BigQuery’s powerful data capabilities.

Although Google Connected Sheets is a native Google Sheets extension designed for seamless integration, another valuable tool is the OWOX BI BigQuery Reports Extension, which stands out by offering unique features that enhance and extend the functionalities compared to Connected Sheets.

💡For a detailed comparison of all features and benefits of these tools, we invite you to read our comprehensive article on the OWOX BI blog. This will help you make an informed decision about which tool best meets your needs.

Benefits of OWOX BI BigQuery Reports Extension

The OWOX BI Reports Extension enhances data visualization by connecting BigQuery and Google Sheets. This integration allows users to build complex reports, perform detailed data analysis, and create automated dashboards directly within Google Sheets.

The extension supports data blending from multiple sources, providing comprehensive insights. With this extension, businesses can easily import data, save, share, and re-use queries, ensuring efficient and collaborative data analysis and reporting.

2. Looker Studio for BigQuery Data Visualization

Looker Studio offers advanced integration with BigQuery, providing robust tools for creating interactive and dynamic visualizations. Businesses can connect Looker with BigQuery as it supports real-time data access, allowing users to build detailed reports and dashboards that update automatically with new data.

Looker Studio's comprehensive set of features includes custom data models, advanced visualizations, and collaboration tools, making it ideal for in-depth data analysis. This platform is particularly useful for teams that need to create sophisticated visualizations and share insights across the organization.

Key Features of Looker Studio

Here are some of the key features of Looker Studio.

Looker Studio offers robust integration with BigQuery, providing real-time access to data and advanced visualizations to create interactive reports and dashboards
It supports various data sources and allows users to create custom data models and visualizations that cater to their specific analytical needs.
Looker Studio's collaborative features enable multiple users to work on the same dashboards simultaneously, fostering teamwork and shared insights.
Its ability to drill down into data and create detailed, dynamic reports makes it a valuable tool for comprehensive data analysis and visualization.

Cons of Looker Studio

Despite its strengths, here are some of the drawbacks of Looker Studio:

Looker Studio can be complex for new users, and some may find its advanced features overwhelming. The learning curve can be steep, particularly for those unfamiliar with data modeling and SQL.
While Looker Studio offers extensive customization options, this flexibility can sometimes lead to increased complexity in setting up and maintaining dashboards. Users may require additional training and support to leverage the platform’s capabilities fully.

3. Power BI for BigQuery Data Visualization

Power BI is a powerful visualization tool by Microsoft that integrates seamlessly with BigQuery, offering extensive visualization capabilities and an intuitive interface. It allows users to create interactive reports and dashboards, making complex data more accessible and understandable.

Key Features of Power BI

Here are some key features of Power BI:

Power BI stands out with its intuitive design and extensive visualization capabilities, critical for making complex data more accessible.
It offers a wide range of pre-built templates and visualizations, allowing users to create interactive reports and dashboards quickly.
Its AI-powered features, such as natural language querying and machine learning models, further enhance its analytical capabilities.
Power BI's ability to share and collaborate on reports across teams makes it a valuable tool for organizations of all sizes.

Drawbacks of Power BI

Here are some limitations of Power BI as a visualization tool:

Integrating Power BI with BigQuery can sometimes require additional configuration, which might be a hurdle for less technical users. The setup process may involve configuring data gateways and managing authentication settings, which can be complex.
While Power BI offers a free version, its advanced features and capabilities are available only in the paid versions, which may be a consideration for budget-conscious teams.
Users may encounter performance issues and limitations when using Power BI with extremely large datasets. Power BI requires careful planning and configuration to handle large volumes of data effectively. For instance, managing memory is critical, as large datasets can consume significant resources, impacting performance.
Power BI Premium offers features like large semantic models and on-demand loading to mitigate some of these challenges, but these solutions often require additional capacity and memory planning.
Power BI is not supported on Linux and Mac devices.

4. Tableau for BigQuery Data Visualization

Tableau is renowned for its seamless integration with BigQuery. Tableau's powerful analytics features enable users to explore deep data and generate detailed reports. While it has a steeper learning curve, its extensive customization options and sophisticated visualizations make it an excellent choice for comprehensive data analysis.

Advanced Features of Tableau

Here are some of the best features of Tableau:

Tableau is renowned for its powerful and flexible visualization capabilities, making it a favorite among data professionals who need to perform in-depth data exploration.
Its drag-and-drop interface allows users to create complex visualizations and dashboards with ease.
Tableau’s advanced analytical functions, such as forecasting, trend analysis, and statistical modeling, enable users to uncover deeper insights from their data.
Its ability to handle large datasets and integrate with multiple data sources, including BigQuery, makes it a versatile tool for diverse data visualization needs.

Limitations of Tableau

Here are some of the limitations of Tableau as a BigQuery visualization tool:

One of Tableau's main limitations is its cost, which might be prohibitive for smaller teams or businesses. The pricing structure includes separate costs for different user roles (e.g., viewers, explorers, creators), which can add up quickly.
While Tableau is highly capable, it has a steep learning curve, and users may need significant training to master its advanced features.
The software’s performance can also be affected when working with large or complex datasets, requiring robust hardware and optimized data connections.

5. QlikView for BigQuery Data Visualization

QlikView provides unique associative analytics, allowing users to explore data connections and discover insights that might not be immediately apparent. Its integration with BigQuery facilitates rapid data processing and visualization, making it suitable for real-time decision-making.

Features of QlikView

Here are some beneficial features of Qlikview:

QlikView offers unique associative analytics that enables users to make new discoveries in data by exploring the connections among data points.
Its in-memory data processing allows for rapid analysis and visualization, making it suitable for real-time decision-making.
QlikView’s interactive dashboards and reports provide a dynamic way to explore data, with the ability to drill down and filter on the fly.
The tool's scripting and data transformation capabilities allow users to prepare and cleanse data before visualization, ensuring high data quality and relevance.

Challenges with QlikView

Here are some challenges of Qlikview:

It's scripting language and data modeling processes can be complex, necessitating specialized training for users to become proficient.
While QlikView is powerful, it can be resource-intensive, requiring substantial memory and processing power for optimal performance.
Organizations may also find that QlikView's initial setup and configuration require significant time and technical expertise.

Choosing the Right Visualization Tool for Your BigQuery Needs

Selecting the appropriate visualization tool for your BigQuery data depends on your specific requirements and the complexity of your data analysis task. When choosing, consider your team's technical expertise, budget, and specific data needs.

Here is a comparative analysis of the tools:

The Ideal Use Case for Each Visualization Tool:

Google Sheets: Best for enhanced data accessibility and automated report updates, no additional learning curve, and unified view.
Looker Studio: Suitable for in-depth data analysis with interactive dashboards, allowing detailed data exploration.
Power BI: Excellent for creating interactive reports and accessible visualizations, with strong integration capabilities.
Tableau: Optimal for complex data exploration and generating detailed reports, offering powerful visualization tools.
QlikView: Great for associative analytics and discovering data connections, enhancing insight discovery through interactive exploration.

Unlock the Full Potential of Your Data with OWOX BI's BigQuery Reporting Extension

Choosing the right BigQuery visualization tool depends on your specific needs, whether it's ease of use, advanced features, or cost considerations. OWOX BI's BigQuery Reporting Extension stands out by seamlessly enhancing Google Sheets for advanced data manipulation and reporting.

It enables users to build complex reports, perform detailed data analysis, and create automated dashboards, all within the familiar interface of Google Sheets.

By leveraging OWOX BI's robust capabilities, you can integrate data from multiple sources, schedule automatic updates, and gain deeper insights, ultimately unlocking the full potential of your data for more strategic decision-making. This makes OWOX BI an invaluable tool for those looking to enhance their data visualization efforts efficiently and effectively.