By Yelena_Pavlova Yelena_Pavlova
on AI Developer Tools

Singlebase

AI-native backend platform to build smarter apps fast

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What Is Singlebase?

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Singlebase is an AI-native Backend-as-a-Service designed to power modern and AI-driven applications. It brings together a document database, vector database, authentication, file storage, similarity search, images, AI agents, generative AI, AI recall, and knowledge base features behind a single API. Developers can rapidly prototype and launch full-stack AI apps without juggling separate databases, auth providers, or AI infrastructure. The platform focuses on production-ready security, ACID transactions, real-time data sync, and enterprise-grade reliability to support serious workloads. With a free tier and subscription plans starting at $20/month, Singlebase is built to help indie hackers, startups, and teams ship faster while keeping backend complexity low.

Quick Snapshot

Singlebase unifies database, authentication, storage, and AI capabilities into a single, production-ready backend so you can move from idea to deployment without stitching together multiple services. It reduces complexity, speeds up development, and scales with your AI applications from prototype to production.

Works on
  • Web
  • API
Pricing Model
Subscription
Starting at $20/month — Singlebase offers a free tier for getting started, with Solo, Growth, and Pro subscription plans starting at $20/month. Pricing scales based on usage limits and features, bundling AI access, database, auth, and storage with transparent overage handling.
Fits on
Affiliate Program
We could not identify an affiliate program.
API Availability
Singlebase has an API available.
Key Features
  1. Unify backend, vectors, and AI in one platform
  2. Ship AI apps faster with a single API
  3. Production-ready security, transactions, and real-time sync
Audience
  • indie hackers
  • makers
  • solo developers
  • startup teams
  • SaaS founders
  • AI application developers
  • product teams
  • engineering teams
URL
https://singlebase.cloud

Screenshot

Singlebase

Key Features of Singlebase

Document database

Store and manage application data with an ACID-compliant document database designed for production workloads and real-time usage.

Vector database

Index and query embeddings for semantic and similarity search, enabling AI-powered recall and recommendations inside your applications.

Authentication

Handle user sign-up, login, and secure access control with built-in authentication integrated directly into the backend platform.

File storage

Store and serve user files, documents, and images through managed storage tightly integrated with your data and auth layers.

AI agents

Orchestrate AI agents that interact with your data, knowledge base, and external inputs to power intelligent workflows and app features.

Generative AI

Leverage generative AI services connected to your data and vectors to build chatbots, content generation, and other AI-driven experiences.

Similarity search

Implement semantic and similarity search across your content and embeddings using the built-in vector database and search APIs.

Real-time sync

Keep client applications in sync with backend data in real time, supporting collaborative and responsive user experiences.

Enterprise-grade security

Rely on production-ready security and reliability features that help safeguard data and support scaling to serious, enterprise workloads.

Use Cases for Singlebase

AI product MVPs

Quickly launch AI-powered MVPs by using a single platform for data, auth, file storage, and AI agents instead of wiring together multiple services.

Intelligent SaaS backends

Build SaaS products with built-in personalization, recommendations, and semantic search using Singlebase’s document and vector databases plus AI recall features.

Knowledge base assistants

Create AI assistants that can search, recall, and reason over your data by combining vector search, knowledge base, and generative AI through a unified API.

Real-time AI applications

Power real-time collaborative or interactive AI apps using Singlebase’s ACID transactions, security, and real-time data sync capabilities.

Startup infrastructure simplification

Reduce infrastructure overhead for small teams by consolidating backend services—database, auth, storage, and AI—into one managed platform.

Frequently Asked Questions

What is Singlebase and how is it different from Firebase?

Singlebase is an AI-native Backend-as-a-Service that combines document and vector databases, auth, storage, and AI services behind one API. Unlike Firebase, it is built specifically for AI apps, offering vector search, AI agents, generative AI, and knowledge base capabilities out of the box.

Who should use Singlebase?

Singlebase is designed for indie hackers, solo developers, startup teams, SaaS founders, and engineering or product teams building AI-enabled applications that need a unified backend with AI features.

Does Singlebase offer a free tier?

Yes, Singlebase provides a free tier so you can start building and prototyping without upfront cost, then upgrade to paid plans as your usage grows.

What AI features does Singlebase include?

Singlebase includes a vector database, similarity search, AI agents, generative AI, AI recall, and knowledge base integrations, all accessible through a single API.

Is Singlebase suitable for production applications?

Yes, Singlebase emphasizes production-ready security, ACID transactions, real-time data sync, and enterprise-grade reliability, making it suitable for serious production workloads.

How is Singlebase priced?

Singlebase uses a subscription pricing model with a free tier and paid Solo, Growth, and Pro plans starting at $20/month, scaling by usage limits and features.

Does Singlebase have an affiliate program?

Based on available information, Singlebase does not currently offer an affiliate program or publicly documented affiliate commissions.

Singlebase · Our Verdict

Singlebase stands out as a focused, AI-native alternative to traditional Backend-as-a-Service platforms by combining core backend primitives with vector search and AI agents in one place. For teams building AI-powered products, this consolidation can significantly cut integration overhead and simplify moving from prototype to production. Its emphasis on transactions, security, and real-time sync makes it more than a toy backend for experiments.

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