Supabase AI vs Together AI

Side-by-side comparison to help you choose the best tool.

Supabase AI

freemium

4.6 / 5.0

Supabase is an open-source Firebase alternative providing a Postgres database, authentication, storage, and edge functions - with pgvector integration enabling vector storage for AI applications. Its AI features include pgvector-powered semantic search, Supabase AI (integrated IDE assistant), and Vector indexes for RAG pipelines. The most popular open-source backend for AI applications.

Best for: Developers building AI applications who want an open-source backend with Postgres, auth, storage, and vector search in one platform

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Together AI

freemium

4.4 / 5.0

Together AI is an AI cloud platform for training and running open-source models at enterprise scale. It provides high-throughput inference for LLaMA, Mistral, FLUX, and other models, along with fine-tuning as a service. Together is used by AI startups and enterprises that want the economics of open-source models with the reliability of managed cloud infrastructure.

Best for: AI startups and enterprises wanting high-throughput open-source LLM inference with fine-tuning features at competitive cloud pricing

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Feature Comparison

Feature	Supabase AI	Together AI
Pricing	freemium	freemium
Category	-	-
Rating	★★★★½ 4.6	★★★★☆ 4.4
Best For	Developers building AI applications who want an open-source backend with Postgres, auth, storage, and vector search in one platform	AI startups and enterprises wanting high-throughput open-source LLM inference with fine-tuning features at competitive cloud pricing
Views	41	39

Pros & Cons — Supabase AI

Pros

Best open-source backend for AI apps
pgvector makes Postgres a vector database
Free tier is extremely generous

Cons

Less scalable than dedicated vector DBs for billions of vectors
Not always the best choice for pure vector workloads

Pros & Cons — Together AI

Pros

Best open-source LLM inference price-performance
Fine-tuning as a service is turnkey
High throughput for production workloads

Cons

Requires model knowledge — not plug-and-play like OpenAI
Support response times vary

Key Features — Supabase AI

pgvector for AI embeddings
Semantic search via Postgres
Edge Functions for AI logic
Real-time subscriptions
Open-source & self-hostable

Key Features — Together AI

High-throughput open-source LLM inference
Fine-tuning as a service
Serverless & dedicated deployments
LLaMA, Mistral & FLUX APIs
Batch inference

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