Top 10 Alternatives to Rio Analytics Recently Reviewed By G2 Community
AI can help you find the answers. G2 helps you trust them.
Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.
How it works
Automation Anywhere Agentic Process Automation (APA) lets you build and orchestrate AI agents, RPA bots, APIs, documents, and people across every enterprise system — with process expertise and governance built into every step.
Acronis Cyber Protect Cloud unites backup and next-generation, AI-based anti-malware, antivirus, and endpoint protection management in one solution. Integration and automation provide unmatched ease for service providers — reducing complexity while increasing productivity and decreasing operating costs. Acronis Cyber Protect Cloud is the single service provider solution that combines backup, anti-malware (including anti-virus, anti-ransomware, and anti-cryptojacking) and security and management capabilities such as vulnerability assessments, patch management, URL filtering and more. Now, service providers can eliminate complexity and make security a centerpiece of their offerings while increasing SLAs, decreasing churn, and generating more recurring revenue. Get upgraded security with integrated AI-based defenses that protect clients from modern threats, make smarter use of resources so your team can focus on clients, and earn new recurring revenue and higher margins that strengthen your business. Enriched with next-gen, full-stack anti-malware protection and comprehensive yet simple management tools, built on top of our industry-leading backup and data recovery solution, Acronis Cyber Protect Cloud simplifies onboarding, daily operations, and reporting, and combats advanced attacks with new use cases enabled by integration. Acronis Cyber Protect Cloud makes it easy to deliver the modern cyber protection your clients seek.
Making big data simple
AWS Elastic Compute Cloud (EC2) is a web service that provides resizable compute capacity in the cloud, making web-scale computing easier for developers.
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.
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
Compute Engine enables you to create and run large-scale workloads on virtual machines hosted on Google Cloud. Get running quickly with pre-built and ready-to-go configurations or create machines of your own with the optimal amount of vCPU and memory required for your workload.
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
VMware vSphere is a free bare-metal hypervisor that virtualizes servers so you can consolidate your applications on less hardware.
MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data. - Graphics: Functions for visualizing and exploring data through various plots and charts. - Programming: Capabilities to create scripts, functions, and classes for customized workflows. - App Building: Facilities to develop desktop and web applications. - External Language Interfaces: Integration with languages such as Python, C/C++, Fortran, and Java. - Hardware Connectivity: Support for connecting MATLAB to various hardware platforms. - Parallel Computing: Ability to perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and cloud resources. - Deployment: Options to share MATLAB programs and deploy them to enterprise applications, embedded devices, and cloud environments. Primary Value and User Solutions: MATLAB streamlines complex mathematical computations and data analysis tasks, enabling users to develop algorithms and models efficiently. Its comprehensive toolboxes and interactive apps facilitate rapid prototyping and iterative design, reducing development time. The platform's scalability allows for seamless transition from research to production, supporting deployment on various systems without extensive code modifications. By integrating with multiple programming languages and hardware platforms, MATLAB provides a versatile environment that addresses the diverse needs of engineers and scientists across industries.