pumaDB vs Supabase: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of pumaDB and Supabase — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

pumaDB

Paid

Durable JSON memory API for agents that stores and serves agent memory via hosted MCP or REST without requiring database setup.

Hosted MCP Endpoint: Provides a managed MCP interface so agents can connect to a memory control plane without self-hosting infrastructure or managing databases.
REST API Compatibility: Offers a standard REST API for inserting, querying, and retrieving JSON memory rows from existing services and agent frameworks.
Durable JSON Row Storage: Persists structured JSON rows as durable memory entries, enabling stateful behavior across agent sessions and long-lived context retention.
Memory Review and Inspection: Includes capabilities to review stored memories so developers and auditors can inspect agent state and historical interactions.
No-Database Setup: Eliminates the need to provision, configure, or maintain a dedicated database project — simplifying prototyping and production deployment.
Lightweight Integration: Designed for quick integration with agent systems and assistants, reducing engineering overhead to add persistent memory.
Hosted MCP and REST endpoints for integrations
Store arbitrary JSON rows as durable memory
Durable agent memory without a separate database project
Review and retrieve persisted agent memory
Simple API surface to connect agents to persistent storage

Persistent Conversational Context: Store user preferences and past conversation turns as JSON so chatbots can recall history across sessions.
Stateful Autonomous Agents: Provide long-term memory for agents that require recall of decisions, tasks, and learned information over time.
Rapid Prototyping without DB Work: Enable developers to build and test memory-enabled agents without provisioning or maintaining database infrastructure.
Audit and Debugging of Agent Behavior: Review stored memory entries to trace agent reasoning, reproduce issues, and validate decision contexts.
Cross-Service Memory Sharing: Use REST or MCP interfaces to share agent memory between microservices, chat platforms, and orchestration layers.
User Profile Management for Assistants: Persist structured user data (preferences, settings, history) as JSON to personalize assistant responses.
Maintain long-term memory for conversational agents
Persist agent state and interaction history as JSON
Enable stateless agents to access shared durable memory across sessions
Prototype agents quickly without managing database infrastructure

Freemium

Postgres-first development platform providing hosted Postgres, Auth, instant APIs, Realtime, Functions, Storage and vector embeddings.

Hosted Postgres Database: Provides a managed, dedicated PostgreSQL instance with tools and integrations designed for production web, mobile, and AI applications.
Auto-generated APIs: Instantly exposes REST and GraphQL endpoints from the Postgres schema (PostgREST/Graphile-style auto-APIs) so developers can query and mutate data without writing backend code.
Authentication and Authorization: Built-in user management, sign-up/sign-in flows, JWT-based auth, and role/row-level security integrations to secure database access.
Realtime Subscriptions: Change-data-capture based realtime updates and WebSocket subscriptions to push database changes to clients for live features like chat or presence.
Functions (Edge & Database): Support for serverless Edge Functions alongside Postgres database functions (RPC) to run custom business logic close to data.
File Storage: Object storage for uploading, serving, and managing files/media with access controls integrated with Supabase Auth.
Vector Embeddings Toolkit: Integration with pgvector and embedding tooling for semantic search, similarity queries, and AI-driven features.
Client Libraries & Local Dev: Official SDKs (e.g., supabase-js), dashboard, CLI and local stack tooling (npx supabase start) for rapid development and self-hosting.