# Managed service

**Source:** https://promtable.com/glossary/managed-service

> A managed service is a cloud-hosted offering where the provider runs the infrastructure — Supabase, Pinecone, n8n Cloud, Anthropic API — and the user pays for usage rather than operating the underlying systems.

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A managed service is a cloud-hosted offering where the provider runs the infrastructure — Supabase, Pinecone, n8n Cloud, Anthropic API — and the user pays for usage rather than operating the underlying systems.

Managed services dominate AI stack adoption in 2026 because the alternative — self-hosting Postgres, vector databases, LLM inference, agent orchestration — burns engineering time most teams would rather spend on product. Trade-offs: managed services lock you in (data migration is real work), cost climbs at scale, and some features lag the self-host equivalent. For most early-stage products and teams without dedicated infrastructure engineers, managed services win on TCO. For scale-heavy production and regulated industries, self-host increasingly competes.

## When to use

- Early-stage products without dedicated infra engineers.
- Cost-tolerant scale where managed wins on engineering time.

## Common mistakes

- Locking in deeply before understanding migration cost.
- Choosing managed for compliance-heavy work where data residency matters.

## Related terms

- [serverless-database](https://promtable.com/glossary/serverless-database)
- [self-host-llm](https://promtable.com/glossary/self-host-llm)

*Last updated: 2026-06-01*
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Original page: https://promtable.com/glossary/managed-service
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