Turn data into action at scale with human and agent collaboration. AND Scale data-driven insights with complete operational confidence. AND Deploy visual, self-service analytics with unmatched control and flexibility.
Looker supports a discovery-driven culture throughout the organization; its web-based data discovery platform provides the power and finesse required by data analysts while empowering business users throughout the organization to find their own answers.
Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze complex data, covering the full scope of analysis from data integration to visualization.
Give business teams the freedom to analyze cloud data in real time without limits. Sigma provides the full power of SQL without coding, cloud flexibility, and an intuitive spreadsheet interface.
Google Data Studio (beta) turns your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable. Start telling great stories with your data and make better business decisions.
Power BI Desktop is part of the Power BI product suite. Use Power BI Desktop to create and distribute BI content. To monitor key data and share dashboards and reports, use the Power BI web service. To view and interact with your data on any mobile device, get the Power BI Mobile app on the AppStore, Google Play or the Microsoft Store. To embed stunning, fully interactive reports and visuals into your applications use Power BI Embedded
Domo is a cloud-native data experience platform that empowers organizations to connect, visualize, and analyze data from diverse sources in real-time. Designed for both technical and non-technical users, Domo facilitates data-driven decision-making across all levels of an organization by providing intuitive dashboards, AI-powered insights, and customizable visualizations. Its scalable architecture ensures seamless integration with existing cloud and on-premise systems, enabling businesses to optimize processes and drive actionable outcomes efficiently. Key Features and Functionality: - Data Integration: Connects with over 1,000 pre-built connectors, allowing seamless access to various data systems, including CRM, ERP, and cloud databases. - Business Intelligence & Analytics: Offers intuitive tools for creating dynamic dashboards, reports, and visualizations, making complex analytics accessible to all teams. - AI and Predictive Insights: Leverages machine learning capabilities to provide predictive analytics and actionable recommendations based on real-time data. - App Creation: Enables the development of custom, low-code, and pro-code business applications that automate processes and streamline decision-making. - Security & Governance: Provides robust data governance tools, including personalized data permissions, custom user roles, and compliance with standards like GDPR and HIPAA. Primary Value and Solutions: Domo addresses the challenge of fragmented data by unifying information from multiple sources into a single platform, enabling organizations to gain comprehensive insights and make informed decisions swiftly. Its user-friendly interface democratizes data access, allowing teams to collaborate effectively using real-time information. By integrating AI-powered analytics and customizable applications, Domo helps businesses optimize operations, identify trends, and drive growth, all while maintaining stringent security and governance standards.
GoodData is an API-first, cloud-based business intelligence and data analytics platform built to create real-time dashboards and support building of low-code/no-code analytics applications with open APIs.
Agency Analytics (formerly MySEOTool) is a marketing platform designed for agencies and marketing consultants. The brandable drag-and-drop dashboard integrates SEO Tools (rank tracking, backlink monitor, site audit), PPC data, Social Media, Web Analytics and more.
The best alternatives to Explo are Tableau (4.4/5 stars, 3658 reviews), Looker (4.4/5 stars, 1644 reviews), Sisense (4.2/5 stars, 1063 reviews), and Amazon QuickSight (4.3/5 stars, 694 reviews). These alternatives provide comprehensive data visualization, strong integration capabilities, and scalable architectures suitable for diverse business needs.
Explo lacks native AI text summarization capabilities, which are available in alternatives like Tableau. Additionally, Explo has limited customization options compared to full BI tools and faces performance bottlenecks with very large datasets, whereas alternatives offer more robust scalability and customization.
Reviewers recommend Tableau for its intuitive drag-and-drop interface, powerful visualization capabilities, and ability to handle large datasets efficiently, supported by 634 mentions of ease of use and 544 mentions of data visualization. Looker is favored for its real-time reporting, centralized data modeling with LookML, and user-friendly dashboards, with 108 mentions of ease of use and 64 mentions of insights. Sisense is praised for its flexible data integration, customizable dashboards, and embedded analytics, supported by 81 mentions of ease of use and 50 mentions of data visualization. Amazon QuickSight is highlighted for its seamless AWS integration, serverless architecture, and cost-effective pay-per-session pricing, with 69 mentions of integrations and 62 mentions of ease of use. These tools are recommended for users seeking advanced features, scalability, and robust support beyond Explo's current offerings.
According to G2 data, Explo holds a superior average rating of 4.9/5 from 138 reviews compared to Tableau's 4.4/5 from 3,658 reviews, indicating higher overall user satisfaction. Explo scores notably higher in usability (9.5 vs 8.3), ease of setup (9.5 vs 8.3), ease of administration (9.1 vs 8.2), support quality (9.4 vs 8.3), and ease of doing business (9.1 vs 8.6), each with a margin of 0.5 points or more. Explo's strengths lie in its intuitive, drag-and-drop dashboard creation, seamless embedding into existing platforms, and rapid deployment, often enabling dashboard setup within a week, which significantly reduces engineering workload and accelerates time-to-market. Users praise Explo for its versatile charting options, customizable dashboards that align with brand identity, and robust API support for embedding and customer onboarding. Tableau, while highly regarded for its powerful data visualization capabilities, extensive chart variety, and ability to handle large datasets efficiently, is noted for a steeper learning curve, higher licensing costs, and occasional performance slowdowns with complex or large data. Tableau excels in advanced analytics features such as Level of Detail (LOD) expressions and integration with diverse data sources, supporting complex calculations and blending multiple datasets. However, users report challenges with version control, dashboard formatting precision, and slower performance on large live datasets. Explo does not currently offer AI text summarization features that Tableau provides. Overall, Explo is favored for ease of use, quick implementation, and customer support, whereas Tableau is chosen for its advanced analytical depth and broad visualization capabilities.
Users choose Tableau over Explo primarily for its powerful and flexible data visualization capabilities, which enable the creation of highly interactive and visually compelling dashboards. Tableau supports complex analytical needs with advanced features like Level of Detail (LOD) expressions, calculated fields, and the ability to blend multiple disparate data sources directly within the tool, which appeals to data scientists and analysts requiring deep data exploration and customization. Its extensive chart library and drag-and-drop interface facilitate rapid prototyping and storytelling with data, making it suitable for both technical and non-technical users who need to generate detailed insights. Additionally, Tableau's strong community support and integration with a wide range of data platforms, including cloud services and machine learning tools, enhance its appeal for organizations seeking a mature, enterprise-grade BI solution. Despite its higher cost and steeper learning curve, users value Tableau's scalability and the ability to handle large datasets efficiently, which supports complex business intelligence workflows and strategic decision-making. These capabilities make Tableau the preferred choice for organizations prioritizing advanced analytics, comprehensive data modeling, and a broad ecosystem of integrations over ease of setup and embedded analytics focus.