Top 10 Alternatives to Plainsight 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
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.
Making big data simple
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.
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.
Gemini Enterprise Agent Platform is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Gemini Enterprise Agent Platform Workbench is a cloud-based IDE that is included with Gemini Enterprise Agent Platform. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Gemini Enterprise Agent Platform and Gemini Enterprise Agent Platform Workbench are a powerful combination that can help you accelerate your ML development. With Gemini Enterprise Agent Platform, you can focus on building and training your models, while Gemini Enterprise Agent Platform Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Gemini Enterprise Agent Platform is a great option. With Gemini Enterprise Agent Platform, you can build, train, and deploy ML models faster and easier than ever before.
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.
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training 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.
Claude is an AI assistant from Anthropic that helps people and teams get work done through conversation, coding, delegated tasks, and collaboration. Available on desktop, web, and mobile, Claude is built on a family of frontier models (Claude Mythos, Opus, Sonnet, and Haiku) that range from the most capable to the most cost-effective, so teams can match intelligence to the task. Key Features and Functionality: - Chat: Collaborate with Claude on writing, analysis, research, and problem solving, with file uploads, projects that keep context across conversations, memory, web search, and artifacts for real-time documents and code. - Code: Build software with Claude Code, a coding agent that plans, writes, edits, tests, and debugs across large codebases, available in the terminal, desktop app, web, and mobile, with native GitHub and IDE integrations. - Cowork: Delegate multi-step tasks to Claude in plain language. Claude works across local files, connected apps, and the desktop, and returns finished documents, spreadsheets, presentations, and organized folders. An open plugin system bundles skills, data connectors, and workflows. - Tag: Bring Claude into Slack and other team tools. Tag Claude into any channel or thread and it drafts, analyzes, and answers in context, using shared documents and channel memory. - Specialized products: Claude Security (vulnerability detection and patch suggestions for security teams), Claude Design (designs, prototypes, and presentations from natural language), and Claude Science (an AI workbench for scientific research). - Connectors and extended context: Connect Claude to the tools and data teams already use, including the Model Context Protocol, and analyze large documents and codebases with long context and extended thinking. - Enterprise-grade security: Claude Enterprise includes Single Sign-On (SSO), role-based permissions, audit logs, and custom data retention controls. Primary Value and User Solutions: Claude gives individuals and organizations one assistant for everyday knowledge work, software development, and delegated tasks. Employees get faster research, writing, analysis, and coding. Teams collaborate with Claude where they already work. Enterprises get the administrative controls and security needed to deploy AI across the business.
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.