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Salesforce vs Ever-gauzy

Ever Gauzy is a plausible self-hosted replacement for organizations whose Salesforce use is limited to contacts, sales pipelines, reporting, and adjacent ERP/HR/project workflows. Choose it when source and infrastructure control outweigh the need for a managed platform. Keep Salesforce when operations depend on its documented service, marketing, unified-data, commerce, AI-agent, or low-code capabilities; equivalent覆盖

Salesforce versus Ever-gauzy comparison

Decision guide

The practical reasons to choose either option, based on documented capabilities.

Choose Ever-gauzy if

  • Teams combining CRM with project, time, HR, invoicing, or inventory workflows
  • Organizations requiring self-hosting and source-code access under AGPL-3.0
  • Technical teams able to operate Docker or Kubernetes infrastructure and production databases internal to their own environment

Stay with Salesforce if

  • Customer service requires contact-center, omnichannel, self-service, or field-service workflows
  • Marketing requires campaign automation, personalization, advertising, loyalty, or mobile engagement
  • The organization depends on unified customer profiles assembled and activated across multiple applications internal to Salesforce's ecosystem of modules and connectors internal to its cloud platform architecture and data
Deployment and operations

Ever Gauzy is AGPL-3.0 and can be self-hosted. It supports Docker Compose, recommends Kubernetes for production, and recommends PostgreSQL or MySQL. Its production Compose configuration includes several supporting services, so operators should plan for database, search, storage, caching, analytics, upgrades, backups, and security maintenance. A downloadable server can instead bundle the API, frontend, and SQLite or connect to PostgreSQL. The hosted Gauzy SaaS is documented as alpha/testing and c

Migration considerations

Ever Gauzy documents generic data import/export, but the supplied sources provide no Salesforce-specific importer, field mapping, metadata conversion, or compatibility guarantee. A migration would therefore require validating how Salesforce accounts, contacts, leads, opportunities, activities, attachments, permissions, and automation rules map into Gauzy.

Feature fit

What Ever-gauzy covers

  • Contact and lead records
  • Sales pipelines
  • Reports and analytics
  • Roles and permissions
  • Email history and templates
  • Data import and export

What’s different or missing

  • No documented omnichannel service coverage
  • No documented marketing automation coverage
  • No documented unified customer profile layer
  • No documented AI-agent equivalent
  • No documented B2C/B2B commerce suite
  • No documented low-code application builder

Project snapshot

GitHub stars
4,332
Contributors
100
Language
TypeScript
Last commit
Aug 17, 2026
Latest release
Aug 17, 2026

Categories: Business Intelligence, Customer Relationship Management, Data Integration, Workflow Automation, Project Management, Task Management, Knowledge Management, Customer Data Platforms, Digital Whiteboards, Marketing Automation, Customer Support, Content Marketing

Sources and editorial review14 linked sources

Reviewed by Kris

Reviewed

Updated

Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.

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