Best serverless Postgres databases for AI apps, and when you need a table instead

Serverless Postgres services such as Neon, Supabase, and Prisma Postgres retain standard PostgreSQL capabilities, including SQL, connection strings, ORMs, and database tools, while adding features such as compute suspension, connection pooling, branching, and serverless or edge-oriented access. Their pooled transaction-mode connections can limit session-dependent features, so direct connections are generally recommended for migrations, dumps, replication, and persistent session state. Neon emphasizes copy-on-write database branches and scale-to-zero compute, Supabase combines Postgres with Auth, a Data API, row-level security, storage, and preview environments, and Prisma Postgres targets TypeScript applications with pooled TCP access and HTTP or WebSocket options for runtimes without TCP support. None of these systems automatically performs AI media processing when rows are inserted; applications requiring video extraction, transcription, embeddings, or indexing typically need external compute services and explicit triggers or calls. Pixeltable is presented as a complementary multimodal data table rather than a Postgres host, allowing media-derived computations such as audio extraction and transcription to be defined as schema columns that run on insertion. Convex is also described as an adjacent but non-SQL reactive JavaScript backend, while a cited benchmark suggests Pixeltable requires less application and infrastructure code for one video-intelligence workload, without positioning it as a general database-host ranking.

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