List of the Top 17 Data Visualization Software for Google Cloud Platform in 2025

Looker revolutionizes business intelligence (BI) by introducing a novel data discovery solution that modernizes the BI landscape in three key ways. First, it utilizes a streamlined web-based architecture that depends entirely on in-database processing, allowing clients to manage extensive datasets and uncover the final value in today's fast-paced analytic environments. Second, it offers an adaptable development setting that enables data experts to shape data models and create tailored user experiences that suit the unique needs of each organization, thereby transforming data during the output phase instead of the input phase. Moreover, Looker provides a self-service data exploration experience that mirrors the intuitive nature of the web, giving business users the ability to delve into and analyze massive datasets directly within their browser interface. Consequently, customers of Looker benefit from the robust capabilities of traditional BI while experiencing the swift efficiency reminiscent of web technologies. This blend of speed and functionality empowers users to make data-driven decisions with unprecedented agility.

Datapine's business intelligence and dashboard software enables users to swiftly transform their data into actionable insights, facilitating data-driven decision-making. With an intuitive drag-and-drop interface, both managers and data scientists can effectively visualize and analyze intricate data sets. Users are empowered to pose critical business questions and obtain immediate responses, enhancing their analytical capabilities. The platform boasts a rich array of advanced analytics features, such as predictive analytics and interactive dashboards, which support the development of KPI-focused business dashboards. Additionally, it offers numerous data connectors compatible with various common data sources, including databases, flat files, social media analytics, CRM, and ERP systems. The extensive collection of pre-made dashboard templates tailored for diverse business functions—such as marketing, sales management, and HR—and various industries, including retail, logistics, healthcare, and market research, further supports users. Platforms like Google Analytics, Facebook, Twitter, and Zendesk also contribute to a seamless onboarding experience for new users, ensuring they can leverage the software's capabilities from the outset.

Accelerate your journey from data to actionable business outcomes with Splunk. By utilizing Splunk Enterprise, you can simplify the collection, analysis, and application of the immense data generated by your technology framework, security protocols, and enterprise applications—providing you with insights that boost operational performance and help meet business goals. Seamlessly collect and index log and machine data from diverse sources, while integrating this machine data with information housed in relational databases, data warehouses, and both Hadoop and NoSQL data stores. Designed to handle hundreds of terabytes of data each day, the platform's multi-site clustering and automatic load balancing features ensure rapid response times and consistent access. Tailoring Splunk Enterprise to fit different project needs is easy, as the Splunk platform allows developers to craft custom applications or embed Splunk data into their existing systems. Additionally, applications created by Splunk, partners, and the broader community expand and enrich the core capabilities of the Splunk platform, making it a powerful resource for organizations of any scale. This level of flexibility guarantees that users can maximize the potential of their data, even amidst the fast-paced evolution of the business environment. Ultimately, Splunk empowers businesses to harness their data effectively, translating insights into strategic advantages.

Deepnote is creating an exceptional data science notebook designed specifically for collaborative teams. You can seamlessly connect to your data, delve into analysis, and collaborate in real time while benefiting from version control. Additionally, you can easily share project links with fellow analysts and data scientists or showcase your refined notebooks to stakeholders and end users. This entire experience is facilitated through a robust, cloud-based user interface that operates directly in your browser, making it accessible and efficient for all. Ultimately, Deepnote aims to enhance productivity and streamline the data science workflow within teams.

By leveraging built-in intelligence, you have the opportunity to transform your customers into success stories. This encompasses advanced analytics and sophisticated dashboards. BoldBI is a platform designed from scratch specifically for embedding purposes, ensuring there are no compromises or shortcuts involved. Failing to address modern requirements, such as "bringing all of your data into our cube or data store," can complicate your application unnecessarily. While it's possible to create intricate systems for data integration, maintaining synchronization between the embedded BI database and your data sources is essential. Bold BI enables seamless connections to hundreds of data sources and any preferred data warehouse. If your architecture utilizes a shared model, consider deploying in single-tenant mode, while multi-tenant mode is ideal for isolated data models, allowing you to maintain a centralized dashboard source for multiple tenants. Bold BI is versatile, suitable for both conventional and unique use cases. Additionally, with JavaScript APIs, you can seamlessly integrate Bold BI directly into your application's code, enhancing its functionality and user experience.

Explore new viewpoints, tackle a variety of questions, and improve your decision-making skills. With just a click, you can easily kick off your next endeavor, ensuring that no inquiry goes unanswered. You can start by forking projects from your peers or engaging with Observable’s vast community of visualization and analysis experts. Incorporate some of Observable’s visualization tools and user interface elements, or use custom code with any JavaScript library you prefer. The scope for creativity is boundless; create projects that reflect your individual style and preferences. Participate in conversations by leaving comments and suggesting changes, or engage in impromptu live coding sessions with your teammates. Learn from specialists in our community forum, which serves as a valuable resource for knowledge sharing. While viewers can access a private notebook that has been shared with them, they do not have permission to modify its content. In contrast, editors can alter the notebook, collaborate effectively, and manage its access settings. However, viewers can still fork the notebook to create their own editable copy. Furthermore, you have the capability to export your code as native JavaScript modules, enabling them to operate smoothly across different platforms using the open-source Observable runtime, thereby enhancing the flexibility and impact of your project. This seamless integration opens up new avenues for collaboration and innovation within your team.

Streamline your operations and cut costs by utilizing straightforward open-source solutions to simplify your data pipelines. From the initial stages of data ingestion to final visualization, every element is cohesively integrated, managed entirely, and highly dependable, ensuring that your engineering team finds joy in handling data. You have the choice of using any of DoubleCloud’s managed open-source services or leveraging the full range of the platform’s features, which encompass data storage, orchestration, ELT, and real-time visualization capabilities. We provide top-tier open-source services including ClickHouse, Kafka, and Airflow, which can be deployed on platforms such as Amazon Web Services or Google Cloud. Additionally, our no-code ELT tool facilitates immediate data synchronization across different systems, offering a rapid, serverless solution that meshes seamlessly with your current infrastructure. With our managed open-source data visualization tools, generating real-time visual interpretations of your data through interactive charts and dashboards is a breeze. Our platform is specifically designed to optimize the daily workflows of engineers, making their tasks not only more efficient but also more enjoyable. Ultimately, this emphasis on user-friendliness and convenience is what distinguishes us from competitors in the market. We believe that a better experience leads to greater productivity and innovation within teams.

Reportql is a groundbreaking tool for data visualization that utilizes SQL combined with artificial intelligence to streamline the process of generating real-time reports and dashboards. It empowers users to effortlessly connect to their databases and query data using natural language, effectively eliminating long development timelines and reducing dependence on technical staff. By supporting a range of AI models such as OpenAI, Google Gemini, and Mistral, Reportql offers instant data insights without necessitating extensive training of AI models or significant financial costs. Key features include the creation of dynamic dashboards that exhibit essential metrics from various databases, automated email reporting based on specific schedules or events, and alert systems that inform users of shifts in key performance indicators, trends, anomalies, or summaries of metrics. Thanks to Reportql's intuitive low-code interface, the speed of report generation is greatly enhanced, allowing developers to create reports up to ten times faster, while its AI capabilities enable end-users to access real-time data effortlessly. Additionally, this innovative tool serves as a vital asset for organizations aiming to improve their decision-making processes by providing timely and actionable insights derived from data. With its ability to bridge the gap between complex data analytics and user-friendly accessibility, Reportql stands out as an essential resource for data-driven enterprises.

Cloud Datalab serves as an intuitive interactive platform tailored for data exploration, analysis, visualization, and machine learning. This powerful tool, created for the Google Cloud Platform, empowers users to investigate, transform, and visualize their data while efficiently developing machine learning models. Utilizing Compute Engine, it seamlessly integrates with a variety of cloud services, allowing you to focus entirely on your data science initiatives without unnecessary interruptions. Constructed on the foundation of Jupyter (formerly IPython), Cloud Datalab enjoys the advantages of a dynamic ecosystem filled with modules and an extensive repository of knowledge. It facilitates the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, using Python, SQL, and JavaScript for user-defined functions in BigQuery. Whether your data is in the megabytes or terabytes, Cloud Datalab is adept at addressing your requirements. You can easily execute queries on vast datasets in BigQuery, analyze local samples of data, and run training jobs on large datasets within the AI Platform without any hindrances. This remarkable flexibility makes Cloud Datalab an indispensable tool for data scientists who seek to optimize their workflows and boost their productivity, ultimately leading to more insightful data-driven decisions.

There are no charges for each connection when establishing the automated connections you require. You won't face any per-connection fees for all your necessary automated connections. Setting up and scaling your cloud data warehouse or processing tasks does not demand any technical expertise. With Conversionomics, you are encouraged to make mistakes and engage in challenging inquiries regarding your data. You have complete freedom to manipulate your data as you see fit. This platform generates intricate SQL to integrate source data along with lookups and table relationships seamlessly. You can take advantage of preset joins and standard SQL, or even design your own SQL queries for further customization. Conversionomics serves as a user-friendly data aggregation tool that allows for the swift creation of data API sources. Additionally, you can build interactive dashboards and reports from these sources by utilizing our templates and your preferred data visualization tools. This flexibility ensures that your data presentation can be tailored to meet specific needs and preferences.

Optimizing data management processes can significantly boost the efficiency of your business operations. Instantly connect, transform, and visualize your data in a scalable way that meets your needs. Kleene makes it easier than ever to access data from your various SaaS applications. Once extracted, the information is safely stored and carefully organized in a cloud data warehouse, ensuring it is cleaned and primed for in-depth analysis. Intuitive dashboards allow you to discover valuable insights and make educated, data-driven decisions that foster your growth. Eliminate the hassle associated with building data pipelines from the ground up. With more than 150 pre-built data connectors available and the ability to create custom connectors on demand, you’re always able to utilize the most current data. Setting up your data warehouse can be completed in just a matter of minutes, without requiring any technical expertise. Our innovative transformation tools accelerate the development of your data models, and our remarkable data pipeline observability and management features give you unmatched oversight and control. Leverage Kleene’s premium dashboard templates to elevate your visual presentations, and benefit from our comprehensive industry expertise to further advance your business objectives. By streamlining the data management process, you can focus more on strategy and less on logistics, paving the way for sustainable growth.

The Databricks Data Intelligence Platform empowers every individual within your organization to effectively utilize data and artificial intelligence. Built on a lakehouse architecture, it creates a unified and transparent foundation for comprehensive data management and governance, further enhanced by a Data Intelligence Engine that identifies the unique attributes of your data. Organizations that thrive across various industries will be those that effectively harness the potential of data and AI. Spanning a wide range of functions from ETL processes to data warehousing and generative AI, Databricks simplifies and accelerates the achievement of your data and AI aspirations. By integrating generative AI with the synergistic benefits of a lakehouse, Databricks energizes a Data Intelligence Engine that understands the specific semantics of your data. This capability allows the platform to automatically optimize performance and manage infrastructure in a way that is customized to the requirements of your organization. Moreover, the Data Intelligence Engine is designed to recognize the unique terminology of your business, making the search and exploration of new data as easy as asking a question to a peer, thereby enhancing collaboration and efficiency. This progressive approach not only reshapes how organizations engage with their data but also cultivates a culture of informed decision-making and deeper insights, ultimately leading to sustained competitive advantages.

Data integration for hybrid cloud environments ensures efficient and dependable synchronization between your private and public cloud infrastructures. This process occurs in real-time and employs change data capture along with streaming capabilities. Striim, created by a seasoned team from GoldenGate Software, boasts extensive expertise in managing essential enterprise tasks. It can be deployed as a distributed platform within your infrastructure or hosted entirely in the cloud. The scalability of Striim can be easily modified to meet your team's requirements. It adheres to stringent security standards, including HIPAA and GDPR compliance, ensuring data protection. Designed from its inception to cater to contemporary enterprise demands, Striim effectively handles workloads whether they reside on-premise or in the cloud. Users can effortlessly create data flows between various sources and targets using a simple drag-and-drop interface. Additionally, real-time SQL queries empower you to process, enrich, and analyze streaming data seamlessly, enhancing your operational efficiency. This flexibility fosters a more responsive approach to data management across diverse platforms.

Trifacta's Cloud Dataprep is an innovative data service tailored for the visual exploration, cleaning, and organization of structured and unstructured datasets, which aids in analysis, reporting, and machine learning endeavors. Its serverless design enables operation at any scale, freeing users from the complexities of infrastructure management and deployment. The system intelligently anticipates your next ideal data transformation with each interaction in the user interface, thus eliminating the need for manual coding altogether. As a partner service of Trifacta, Cloud Dataprep leverages their acclaimed data preparation technology to boost its capabilities. Google works in close partnership with Trifacta to provide a seamless user experience, obviating the need for initial software installations, additional licensing costs, or ongoing maintenance efforts. Fully managed and capable of scaling as needed, Cloud Dataprep is adept at adapting to your shifting data preparation needs, allowing you to focus on your analytical goals. This cutting-edge service ultimately enables users to optimize their workflows and enhance productivity, making data preparation a more efficient process. Moreover, as the landscape of data continues to evolve, Cloud Dataprep remains agile, ensuring that users can keep pace with their analytical demands seamlessly.

An intuitive low-code visual platform enables users to create and deploy customized chatbots that comprehend natural language effectively. Users can obtain text responses, access data, create reports and visualizations, and apply analytics and AI through an easy-to-navigate conversational interface. Integrated within the SAS ecosystem, the platform allows seamless configuration of bots to improve data insight accessibility or connect them to external services for enhanced reach. Gaining insights from data has never been easier than just sending a straightforward message. With the aid of intelligent suggestions and clearly labeled related metrics, users can swiftly pinpoint significant relationships within their data. By harnessing machine learning and natural language explanations, users can discover, visualize, and convey engaging narratives and insights that are both accessible and comprehensible. This allows for a deep investigation into the causes behind various outcomes, exploration of all potential avenues, and the unearthing of hidden opportunities within the data. Moreover, the system automatically identifies key relationships, outliers, clusters, and more, revealing vital insights that can inform strategic actions and decision-making. Ultimately, this groundbreaking approach equips users with the tools to confidently and clearly navigate through intricate data environments and make impactful decisions based on their findings.

Every single day, your organization generates a vast quantity of data. When leveraged appropriately, this wealth of information transforms into a valuable source of insights. By integrating this data strategically, a wide range of opportunities for advancement and innovation can be uncovered. As experts in the field of business intelligence, DigDash provides a reliable solution that streamlines data usage and significantly boosts your performance immediately. From the earliest design stages through to complete implementation, along with addressing both inquiries about usage and development needs, DigDash is dedicated to being your enduring partner, nurturing a collaborative partnership. Our commitment to ongoing improvement is evident in our inherent adaptability. The intuitive design of our software sets it apart in the marketplace, making it one of the most powerful solutions available. Regardless of your business objectives, our tool effortlessly adapts to fulfill the specific requirements of your organization. With insightful real-time visibility encompassing all facets of your operations—ranging from marketing and finance to sales and HR—your management team is empowered to make timely, informed decisions, ensuring that you maintain a competitive edge. This combination of flexibility and support establishes a solid groundwork for long-term success, fostering an environment where your enterprise can thrive.

ZinkML serves as an open-source platform for data science that eliminates the need for coding, enabling organizations to utilize their data more effectively. Its user-friendly and visual interface is tailored to ensure that individuals without extensive programming knowledge can engage with data science, thus broadening accessibility. The platform simplifies the entire data science workflow, covering everything from data ingestion to model building, deployment, and monitoring. Users can easily create intricate pipelines by dragging and dropping components, visualize their data, or develop predictive models—all without any coding skills. With features like automated model selection, feature engineering, and hyperparameter optimization, ZinkML significantly speeds up the model development process. Furthermore, ZinkML fosters collaborative efforts by providing tools that enable teams to work together seamlessly on their data science initiatives. By making data science more accessible, ZinkML empowers organizations to derive greater value from their data and enhance their decision-making capabilities, ultimately leading to improved business outcomes. This shift towards democratized data science is crucial in a world where data-driven decisions are becoming increasingly vital.