LangSmith vs Prisma

LangSmith

Prisma

LangSmith · 14 features

• Alerts — Threshold alerts on latency, cost, eval metrics.
• Annotation Queues — Human-review workflows for trace quality rating.
• Custom Dashboards — Aggregate metrics dashboards per project/tag.
• Datasets — Collect examples → use as eval sets or training data.
• Evaluations — LLM-as-judge, embedding similarity, custom Python evaluators, offline batch eval…
• LangChain Integration — Auto-trace any LangChain/LangGraph run with env var.
• LangGraph Integration — First-class trace + eval for LangGraph agents.
• LLM Tracing — Automatic trace every LLM call + tool call + chain step.
• OpenTelemetry Export — Export traces as OTLP to Datadog/Honeycomb/etc.
• Playground — Test prompts + models inline before deploying.
• Prompt Canvas — Visual prompt editor with live test + eval.
• Prompt Hub — Public + private prompt library with versioning.
• Self-Hosted (Enterprise) — Docker + k8s deployment in your infra.
• Threads + Sessions — Group traces into conversational sessions.

Prisma · 13 features

• Client Extensions — Extend the client with middleware.
• Edge Runtime — Runs on Vercel/CF edge via Accelerate.
• End-to-end Type Safety — Types flow from schema to client.
• Prisma Accelerate — Global connection pool + query cache.
• Prisma Migrate — Schema migrations.
• Prisma Optimize — AI-driven query recommendations.
• Prisma ORM — OSS ORM for Node/TS.
• Prisma Postgres — Serverless Postgres built on Accelerate.
• Prisma Pulse — Database CDC streaming.
• Prisma Studio — GUI to browse + edit DB.
• Raw SQL + typedSql — Escape hatch for raw queries with types.
• Relation Querying — Nested include / select.
• Zero Cold Start Pool — Accelerate keeps a warm pool for serverless.