cloudboost
CloudBoost is a self-hosted Backend-as-a-Service (BaaS) platform offering data storage, realtime capabilities, search, and user authentication. It requires manual deployment and management of MongoDB and Redis dependencies, with a Docker option for easier setup.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | CloudBoost/cloudboost |
| Owner | CloudBoost |
| Primary language | JavaScript |
| License | Apache-2.0 — OSI-approved |
| Stars | 1.5k |
| Forks | 153 |
| Open issues | 448 |
| Latest release | 2.0.994 (2019-12-08) |
| Last updated | 2026-02-16 |
| Source | https://github.com/CloudBoost/cloudboost |
What cloudboost is
Node.js-based BaaS running on MongoDB 3.4+ and Redis 3.0+, exposing REST APIs and JavaScript SDKs for CRUD operations, realtime updates, and search. Stateless server design allows horizontal scaling via Docker Compose, but operators bear full responsibility for database replication, sharding, and backups.
Get the cloudboost source
Clone the repository and explore it locally.
git clone https://github.com/CloudBoost/cloudboost.gitcd cloudboost# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Requires MongoDB 3.4+ and Redis 3.0+ pre-installed; Docker Compose deployment recommended to reduce setup friction.
- SMTP/Mailgun integration needed for email features; requires external API key and configuration before startup.
- Manual HTTPS setup via certificate files; no automatic TLS management documented.
- Secure Key and Cluster Key printed to console on first run—must be captured and stored securely; no documented key rotation process.
- Horizontal scaling requires container orchestration and external load balancer; no built-in consensus or distributed locking described for multi-instance deployments.
When to avoid it — and what to weigh
- Production use without ops/SRE capacity — README explicitly states operators must manage MongoDB replication, sharding, backups, and monitoring. Requires DevOps expertise; not suitable if your team lacks database administration skills.
- Need for vendor stability and long-term support — Last release was 2019-12-08; repo shows recent pushes but no versioned releases in 6+ years. Unclear if maintainers provide security patches or long-term support commitments.
- Regulated industries (healthcare, finance, PCI-DSS) — No mention of compliance certifications, audit trails, or security assessments in README. Security posture is undocumented; self-hosting shifts all compliance burden to you.
- High-scale distributed systems expecting SaaS reliability — You assume operational burden of 24/7 uptime, auto-scaling, and incident response. Managed service exists but is separate; open-source version offers no SLA.
License & commercial use
Licensed under Apache License 2.0 (Apache-2.0), a permissive OSI license permitting commercial use, modification, and distribution under the same terms.
Apache 2.0 explicitly allows commercial use without royalties or per-seat licensing. However, no warranty is provided by the licensor. For production commercial deployments, verify that dependencies (MongoDB, Redis) and any third-party integrations (Mailgun) comply with your commercial use model. Consider commercial indemnification insurance if compliance risk is high.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Moderate |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | High |
| DEV.co fit | Possible |
| Assessment confidence | Medium |
No documented security audit, penetration test results, or vulnerability disclosure process. Secure Key and Cluster Key are printed to stdout—requires secure capture and rotation (mechanism not described). HTTPS is optional, not enforced. SMTP credentials stored in plaintext config file. ACLs are mentioned but validation logic not detailed. Self-hosting shifts all responsibility for secrets management, network isolation, and monitoring to operators. Authentication mechanism and session handling not detailed in README.
Alternatives to consider
Firebase / Google Cloud Platform
Managed BaaS with global replication, strong security, compliance certifications, and no operational overhead. Vendor lock-in and data residency constraints differ from self-hosted.
Parse Server (self-hosted)
Open-source BaaS similar to CloudBoost, actively maintained, used by large deployments. Requires same operational overhead but community is larger and more recent release cadence.
Supabase
Open-source Firebase alternative with PostgreSQL backend, strong TypeScript support, and active maintenance. Can be self-hosted or used as managed service; better documentation and modern dev tooling.
Build on cloudboost with DEV.co software developers
Review the deployment and operational requirements with your DevOps team. If you lack in-house infrastructure expertise, consider the managed service or alternative BaaS platforms. For proof-of-concept work, Docker Compose setup takes hours.
Talk to DEV.coRelated open-source tools
Surfaced by semantic similarity across the DEV.co open-source index.
Related on DEV.co
Explore the category and the services that help you build with it.
cloudboost FAQ
Can I use CloudBoost for production?
What are the database requirements?
Is the project still maintained?
How is security handled?
Work with a software development agency
DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If cloudboost is part of your open-source databases roadmap, our team can implement, customize, migrate, and maintain it.
Ready to evaluate CloudBoost for your backend?
Review the deployment and operational requirements with your DevOps team. If you lack in-house infrastructure expertise, consider the managed service or alternative BaaS platforms. For proof-of-concept work, Docker Compose setup takes hours.