Managed Valkey · predictable pricing

Managed Valkey for small SaaS teams. A clear price and a smaller ops workload.

Steada is managed Valkey (Redis-compatible), priced on capacity instead of per command — so a steady, high-volume cache, rate limiter, or session store has a predictable monthly plan price, within its memory, connection and compute limits.

  • From $9/month. Flat size tiers with no per-command charge, a 7-day free trial on your first subscription, and a 30-day money-back guarantee on the first paid invoice. Compare your workload against Upstash PAYG and Fixed plans before deciding.
  • Secure by default. Every database is its own isolated, TLS-only instance — never a shared pool, and never a paid add-on. See what that means →
  • One-click resize. Move between 64 MiB → 2 GiB size tiers, up or down, at a predictable price.
  • Honest by default. Source-checked pricing, no SLA theater, no "contact sales" maze.
See what every database gets

Pricing calculator

See your Upstash-vs-Steada crossover.

Compare live Steada tiers with Upstash PAYG using your workload. Upstash also offers Fixed plans; review those before choosing a provider.

Application region (prices are not adjusted)

Every provider row carries its own source and check date. Steada figures use the published tier ladder; no invented multipliers.

Estimated savings versus PAYG0%

Live Steada tier versus Upstash PAYG, excluding tax, transfer and add-ons.

ModelEstimateDriverConfidence

Secure by default

Isolation and TLS come standard — not behind a paywall.

On Upstash, production durability, encryption at rest, and monitoring live behind the+$200/mo Prod Pack add-on. Steada's security posture is structural, not an upsell — here is exactly what every database gets, without pretending a completed SOC2 audit or formal SLA exists before the evidence does.

Isolated, not pooled

Every database runs in its own memory-capped instance — Standard, Dedicated VM, or Bare-metal isolation tiers — so a noisy neighbour can't touch your keys, latency, or memory.

TLS on every connection

The default path is native Valkey RESP over TLS with password auth, verified against the public CA. No plaintext port, no opt-in toggle — encryption in transit is just how you connect.

No security tax

Isolation and TLS aren't bundled into a paid production tier. You don't pay extra to not be in a shared pool — the safe configuration is the only configuration.

Evidence before claims

Steada ships proof assets before broad platform promises.

Cost calculator

Visible formulas, source dates, and margin assumptions before you choose a plan.

Benchmark runner

JSON and Markdown outputs with provider, region, node, Valkey version, command mix, and concurrency.

Dashboard-first onboarding

Create a workspace first, then size, isolate, and provision databases inside the product.

From the founder

“I'm building Steada in the open because infrastructure trust is earned, not claimed. Every number on this site is source-checked and dated, and every limit is stated plainly — no SLA theater, no hidden meter. If your Upstash bill is dominated by per-request pricing on a steady workload, bring it and I'll show you the math before you commit anything.”

— Yoni Ryabinski, founder of Steada

Follow the build

Not ready to apply? Follow the build instead.

Get the occasional build-in-public update — new benchmarks, the resize and per-tenant isolation internals, and launch notes — for teams with real Redis or Valkey workloads. No spam, unsubscribe anytime. Ready now? Sign in to the dashboard →

Build updates

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You will receive a confirmation email before being added. Subscriber data is recoverable from the Emcognito portal, CSV export, developer API, and webhooks.

Part of a cost-first stack

Cache is one line on the bill — watch the rest of it.

Steada keeps the cache layer flat and predictable. If you're cost-tuning the wider stack, two sister tools cover the other layers: Tovin.io, a multi-cloud cost monitor for AWS, GCP, and DigitalOcean, and Cluster Optimizer, an open-source tool that right-sizes over-requested Kubernetes workloads. And once the cache is serving real traffic, Nightlamp watches it in production and diagnoses what breaks.

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