SinglebaseCloud
The all-in-one backend platform for developers
About SinglebaseCloud
SinglebaseCloud is an AI-native Backend-as-a-Service platform and Firebase alternative that combines a document database, vector database, authentication, file storage, and integrated AI services including vector embeddings, RAG, and AI agents into a single managed platform with flat-rate pricing.
Pros & Cons
Pros
- First BaaS with vector database and AI similarity search built in
- Generous free tier with unlimited API calls and storage
- Flat-rate pricing with no billing surprises
- All-in-one replacing separate DB, auth, storage, and AI services
- No DevOps or backend engineering required
- RAG and AI agent infrastructure included
Cons
- Relatively new platform founded around 2023
- Smaller community compared to Firebase or Supabase
- Limited third-party reviews and integrations
- Documentation still growing
- Flat fee may be expensive for very low usage compared to pay-as-you-go
Key Features
NoSQL Document Database
Relational-style document DB with DQL (Document Query Language) for powerful querying
Vector Database
Built-in vector store for AI-native semantic search and retrieval
Authentication
Full user auth system with multiple sign-in methods including email and social login
File Storage
Secure file upload, processing, and delivery with automatic optimization
Vector Embeddings
Generate and store embeddings directly within the platform
AI Similarity Search
Semantic similarity search over stored data using vector embeddings
RAG Pipeline
Built-in Retrieval-Augmented Generation with knowledge base support
AI Agents
Infrastructure for building and deploying AI agents on your data
Generative AI Services
Integrated GenAI capabilities for building intelligent features
Auto-Scaling
Automatic infrastructure scaling with no DevOps required
Pricing
- Unlimited API calls
- Unlimited storage
- Document & vector DB
- Auth & file storage
- Community support
- Everything in Free
- Priority support
- Flat-rate pricing
- AI services
- No billing surprises
Best For
AI Application Development
Build apps with semantic search, RAG pipelines, or AI agents without a separate vector DB
Startup MVP Development
Rapidly prototype and ship production apps without a backend engineer or DevOps team
Mobile App Backend
Attach auth, storage, and a database to iOS/Android apps via SDK
Knowledge Base & Chatbot Products
Power customer-facing AI chatbots using built-in RAG and knowledge base features
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