Top 10 Alternatives to Akkio Recently Reviewed By G2 Community
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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.
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code.
Making big data simple
Adobe Analytics helps you create a holistic view of your business by turning customer interactions into actionable insights. With intuitive and interactive dashboards and reports, you can sift, sort, and share real-time information to provide insights you can use to identify problems and opportunities.
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.
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.
Qlik Sense is a revolutionary self-service data visualization and discovery application designed for individuals, groups and organizations.
SAP Analytics Cloud is a multi-cloud solution built for software as a service (SaaS) that provides all analytics and planning capabilities – business intelligence (BI), augmented and predictive analytics, and extended planning and analysis – for all users in one offering.
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.