Comparison

koigrid vs Upstash

Managed Redis with real HA and a fixed hourly price — the predictable alternative to Upstash serverless.

Upstash is serverless Redis billed per request and per GB of bandwidth — handy for spiky toy workloads, but the per-command pricing gets unpredictable under real traffic, and durability/HA sit behind higher tiers.

Same setup — what you actually pay

Upstash≈ $10/mo
koigrid · by the hour, egress included$3/mo

You save ~$7/mo (70%)

For a managed HA Redis. Estimate from public pricing; koigrid bills reserved resources by the hour, with egress included. (prices reviewed 2026-07-03)

FeaturekoigridUpstash
Pricing modelReserved resources, hourlyPer request + bandwidth
High availabilityMaster + replica + Sentinel failoverPaid tiers
Predictable billYes — fixed per reserved resourceNo — scales with commands + egress
Agent-nativeYes — provision from your LLMAPI, not agent-first

What koigrid improves

Reserved, not per-command

A fixed price for the memory you reserve, billed by the hour, instead of paying per request and per GB of egress.

Real HA, no tier gate

Master + replica + Sentinel auto-failover — not gated behind higher tiers (each copy is billed).

Agent-native

Provision a Redis cluster from Claude Code or any LLM via the API.

Frequently asked questions

Is koigrid cheaper than Upstash?

It depends on the workload. koigrid charges for the RAM and disk you reserve, by the hour, shared vCPU included, from a public price list — with bandwidth included and no per-request fees. Egress-heavy setups usually come out well ahead; see the estimate above.

Can I migrate from Upstash without lock-in?

Yes. koigrid runs on portable primitives — standard PostgreSQL, S3-compatible storage and containers — so you can move in (or out) whenever you want.

Where is my data hosted?

In data centers in the EU, on servers we run ourselves. The privacy policy says exactly where.

Can I run everything from an API or an AI agent?

Yes — koigrid is API-first and agent-native: every action has an API and a scoped token, with llms.txt and OpenAPI so an LLM can operate it end to end.