G2 offers free advice on alternatives to Qrvey.
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.
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Amazon Quick is a cloud-based business intelligence (BI) service that help employees to build visualizations, perform ad-hoc analysis, and quickly get business insights from their data.
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.
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.
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.
Domo is an agentic platform for the intelligent enterprise that helps organizations build, manage, and distribute AI-powered solutions using governed business data. The platform brings together three core capabilities: a data foundation to connect and govern enterprise data, an activation layer to build AI agents, apps, workflows, and analytics, and a distribution layer to deliver intelligence where people work. Designed for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks, as well as other business systems and apps. Organizations use Domo to connect data from across their business, apply governance and security controls, build AI-powered solutions, and deliver insights through dashboards, embedded apps, mobile experiences, and AI assistants. Domo combines three core capabilities: data foundation, activation, and distribution: 1. The data foundation connects and governs enterprise data across cloud data platforms and business systems. 2. The activation layer enables teams to build AI agents, apps, workflows, automations, and analytics on top of governed data. 3. The distribution layer delivers intelligence where users work, including dashboards, embedded apps, mobile experiences, and AI assistants using Model Context Protocol (MCP). Governance, security, and access controls support all three layers to help organizations scale AI and data initiatives with trust. Common use cases for Domo include AI agents and apps, business intelligence, operational analytics, executive reporting, embedded analytics, AI-powered workflows, and custom data apps. The platform supports both technical teams and business users with low-code and pro-code development options for building and sharing AI-powered solutions across the enterprise.
ThoughtSpot is the AI-native Intelligence Platform company for the enterprise. With natural language and AI, ThoughtSpot empowers everyone in an organization to ask data questions, get answers, and take action. Code-first for data teams and code-free for business users, ThoughtSpot is intuitive enough for anyone to use, yet built to handle large, complex cloud data at scale. Customers like NVIDIA, Hilton Worldwide, and Capital One are unlocking the full potential of their data with ThoughtSpot.
Qlik Sense is a revolutionary self-service data visualization and discovery application designed for individuals, groups and organizations.
MicroStrategy provides a high performance, scalable Business Intelligence platform delivering insight with interactive dashboards and superior analytics.
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