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

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
Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.
Ever® Gauzy™ - Open Business Management Platform (ERP/CRM/HRM/ATS/PM)
repository description · github.comMain features: ... Customer Relationship Management (CRM) ... Sales Management
readme · github.comContacts Management (Clients / Customers / Leads / etc.)
readme · github.comSales Pipelines
readme · github.comDashboard ... Reports / Insights / Analytics
readme · github.com### Web UI
readme · github.comRun both API and UI with a single command: `yarn start`. Open Gauzy UI on <http://localhost:4200> in your browser
readme · github.com### With Docker Compose
readme · github.comWe recommend using Kubernetes for production workloads instead of Docker Compose!
readme · github.com- Customer Relationship Management (CRM) - Enterprise Resource Planning (ERP) - Projects / Tasks Management - Sales Management
verdict · github.com- Contacts Management (Clients / Customers / Leads / etc.) - Schedules / Appointments / Events - Project Management / Tasks - Goals / KPI / Objectives / Key Results - Sales Pipelines
shared feature · github.com- Data Import / Export
migration · github.comFor Production, we recommend: - [PostgreSQL](https://www.postgresql.org) or [MySQL](https://dev.mysql.com) - [Kubernetes](https://kubernetes.io), [Docker](https://www.docker.com)
deployment · github.comNote: it's currently in Alpha version/testing mode, please use it cautiously!
deployment · github.com








