Top 10 Alternatives to MAXQDA Recently Reviewed By G2 Community
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NVivo is software that supports qualitative and mixed methods research. It's designed to help organize, analyze and find insights in unstructured, or qualitative data like: interviews, open-ended survey responses, articles, social media and web content.
ATLAS.ti makes qualitative research easy for you with a beautiful design. Gain rich insights with the most intuitive and powerful QDA software on the market. One package, one price, full functionality, no hidden costs.
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
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.
Canva is an online design and publishing platform that provides user friendly design tools for non-designers.
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.
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.
Making big data simple
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.