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Zenifra Reviews — Pricing, Features & The Honest Take
Zenifra is a Brazilian platform-as-a-service for deploying and running applications without managing servers. Connect a GitHub or Forgejo repository or deploy a Docker image; Zenifra handles builds, HTTPS, custom domains, logs and autoscaling, with preview environments per pull request. The same console provides managed PostgreSQL, MariaDB, Valkey and ClickHouse, RabbitMQ queues, scheduled Jobs billed per minute, S3-compatible object storage and an OpenAI-compatible AI API. Billing is in Brazilian reais via PIX, boleto or card, hourly, monthly or yearly. Free tier: 1 project, 1 PostgreSQL, 1 Valkey cache, 1 Valkey queue and 5 GB of storage, no card required.
| Company | Zenifra Serviços Tecnologia LTDA |
|---|---|
| Year founded | 2025 |
| Company size | 1-10 employees |
| Headquarters | São Paulo, Brazil |
| Capabilities |
AI
API
CLI
|
|---|---|
| Segment |
Small Business
Mid Market
Freelancer
Enterprise
|
| Ease of use |
Beginner
|
| Deployment | Cloud / SaaS / Web-Based |
| Support | 24/7 (Live rep), Chat, Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support |
| Training | Documentation, Videos |
| Languages | English, Portuguese, Portuguese (Brazil) |
Zenifra Pros and Cons
- Combines application deployment, managed databases, cache and queue services, scheduled jobs, object storage, and AI API usage in one console.
- Uses Brazilian infrastructure and bills in Brazilian reais, with PIX and boleto payment options.
- Publishes free entry-level resources, including an HTTP project, PostgreSQL, Valkey cache and queue, and 5 GB of object storage.
- Supports both Git-based deployments and Docker or OCI image deployments.
- Provides an official CLI, API documentation, logs, health checks, and metrics.
- GitLab integration is not currently available.
- Documented Git-based runtimes are limited to Node.js, Python, and Bun; other languages may require container-image deployment.
- Object storage is in beta, requires an access request, and has published beta quotas.
- Preview environments have limitations, including no native preview flow for pull requests from forks and no automatic database copying or promotion to production.
- The platform is relatively new and small, which buyers with vendor-maturity or procurement requirements may want to evaluate.
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