Top 10 Alternatives to ESG Artificial Intelligence Recently Reviewed By G2 Community
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The JumpCloud Directory Platform reimagines the directory as a complete platform for identity, access, and device management.
Workiva (NYSE:WK) Wdesk is a cloud-based productivity platform for enterprises that collect, link, report, and analyze business data with control and accountability.
Zapier enables you to automate tasks between other online services (services like Salesforce, Basecamp, and Gmail). Connect hundreds of best-in-breed SaaS apps.
Optro's modern connected risk platform is designed to elevate your teams, engage the front lines of your business, and help you leverage risk as a strategic driver. At the heart of our connected risk architecture is a unified data core that centralizes your organization's risks, controls, policies, frameworks, issues, and more. The core is surrounded by a set of powerful platform capabilities, including collaboration, automation, a robust workflow engine, business intelligence, and a highly extensible integration layer. Together, Optro's unified core and purposefully designed platform capabilities set a strong, dynamic foundation for our award-winning applications — RiskOversight, CrossComply, SOXHUB, OpsAudit, ESG, and TPRM.
Drata is the world's most advanced security and compliance automation platform with the mission to help businesses earn and keep the trust of their users, customers, partners, and prospects. With Drata, thousands of companies streamline risk management and over 12 compliance frameworks—such as SOC 2, ISO 27001, GDPR, CCPA, PCI DSS and more—through automation, resulting in a strong security posture, lower costs, and less time spent preparing for audits.
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.
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
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.
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.