Wrike vs Ever-gauzy
Choose Ever Gauzy when self-hosting and combining project work with time tracking, HR, CRM, invoicing, or other business operations is the priority. Choose Wrike when the required workflow depends on documented portfolio planning, Gantt scheduling, resource management, request forms, automation, whiteboards, or AI assistance; the supplied Ever Gauzy sources do not establish coverage for several of those capabilities.
Decision guide
The practical reasons to choose either option, based on documented capabilities.
Choose Ever-gauzy if
- Agencies and freelance businesses managing projects, time, employees, clients, invoicing, and costs in one self-hosted system.
- Organizations requiring source access, infrastructure ownership, or TypeScript-based customization under AGPL-3.0.
- Operations teams that need project and task management alongside ERP, CRM, HRM, ATS, accounting, inventory, or sales workflows.
Stay with Wrike if
- Portfolio planning, interactive Gantt charts, workload balancing, or configurable workflow automation are required; equivalent Ever Gauzy coverage is not documented.
- Structured request forms, collaborative whiteboards, or autonomous AI agents are essential; these Wrike capabilities have no documented Ever Gauzy counterpart in the supplied sources.
- A low-maintenance hosted service is required. Ever Gauzy’s listed SaaS is in alpha, while production self-hosting can involve Kubernetes and several infrastructure services, creating migration and operational risk.
Deployment and operations
Ever Gauzy is self-hostable and AGPL-3.0 licensed. It supports server and desktop packages, Docker Compose, local source builds, and Kubernetes; the project recommends Kubernetes rather than Docker Compose for production. PostgreSQL or MySQL is recommended for production, while the full Compose setup can include OpenSearch, MinIO, Redis, Cube, Zipkin, and other services. Operators are responsible for deploying and maintaining that stack. The listed Gauzy SaaS is currently alpha/testing, so it is
Migration considerations
Ever Gauzy documents general data import/export, but the supplied sources do not identify a Wrike-specific importer, field mapping, attachment migration, or compatibility path. A migration would therefore require validation or custom transformation.
Feature fit
What Ever-gauzy covers
- Project and task management
- Dashboards and reporting
- Roles and permissions
- External integrations
- Organizational work tracking
What’s different or missing
- No documented Gantt planning
- No documented resource-capacity planning
- No documented request forms
- No documented workflow automation rules
- No documented collaborative whiteboard
- No documented AI assistant or agents
- No documented Wrike-specific importer
Project snapshot
- GitHub stars
- 4,327
- Contributors
- 100
- Language
- TypeScript
- Last commit
- Aug 16, 2026
- Latest release
- Aug 16, 2026
Categories: Customer Relationship Management, Business Intelligence, Data Integration, Workflow Automation, Project Management, Task Management, Knowledge Management, Digital Whiteboards
Sources and editorial review15 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.com- Work and Project Management (PM)
readme · github.com- Projects / Tasks Management
readme · github.com- Dashboard (provides an overview of different metrics, such as company income/expenses, employee bonuses, etc.)
readme · github.com- Reports / Insights / Analytics
readme · github.comEver® Gauzy™ Server ... serves Gauzy frontend.
readme · github.comWe recommend using Kubernetes for production workloads instead of Docker Compose.
readme · github.comEver® Gauzy™ Platform is licensed under AGPL-3.0.
readme · github.com- **Enterprise Resource Planning** (ERP) - **Customer Relationship Management** (CRM) - **Human Resource Management** (HRM) - **Applicant Tracking System** (ATS) - **Work and Project Management** (PM) - **Employee Time-Tracking, Activity & Productivity Tracking**
verdict · github.com- Project Management / Tasks
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: we recommend using Kubernetes for production workloads instead of Docker Compose!
deployment · github.comNote: it's currently in Alpha version/testing mode, please use it cautiously!
deployment · github.com- You must follow AGPL v3 license requirements. - You must Disclose Source Code under the same license, provide License and Copyright Notice and State Changes.
deployment · gauzy.co
