Fast Postgres isn't magic — it's the right hardware with sensible defaults. Local NVMe instead of network disk, dedicated CPU and RAM on Pro and up, pooling built in, and PostgreSQL 17 tuned per instance size. Low p99 latency, none of the big-cloud bill.
Every layer is chosen for low latency under real load — from the disk your data sits on to the connection pooler in front of it.
Your data lives on local NVMe attached to the box — not slow network-attached disk. High IOPS and low latency are the baseline, not a paid add-on.
On Pro and up, cores and memory are reserved for your database alone — no noisy neighbours stealing cycles at the worst possible moment.
The latest PostgreSQL with sensible defaults per instance size — shared_buffers, work_mem and autovacuum set for your hardware, so you start fast and stay fast.
PgBouncer ships with every database, so serverless and high-concurrency apps don't exhaust your connections. No separate service to run or patch.
Spread read traffic across replicas and serve data closer to your users. Spin one up from the dashboard the moment reads become your bottleneck.
Resize CPU, memory and disk and run major-version upgrades online — handled with you, without the downtime drama or the maintenance-window dread.
What teams typically see when they leave a busy, shared instance for dedicated NVMe: the spikes flatten and the tail latency drops.
The headline figures that follow from the hardware and tuning above. Numbers marked with a tilde are illustrative.
We won't pretend a single benchmark settles anything. Database performance depends on your schema, your query mix, your indexes and your working-set size — so any chart or figure on this page is illustrative, meant to show the shape of what changes when you move from a busy, shared instance to dedicated local NVMe, not a promise of an exact millisecond count.
What's a hard fact: every database runs PostgreSQL 17 on local NVMe, Pro and up get dedicated CPU and RAM, PgBouncer is built in, and instances are tuned for their size. What's illustrative: the latency curve, the percentages, and the "fraction of the cost" framing — directionally true, not laboratory-precise.
Want numbers you can actually trust for your workload? We'll run a test migration of a representative database and show you real before/after p99 latency and cost. Tell us what you're running and we'll set it up.
Spin up a database on dedicated NVMe in two minutes — or let us migrate a test workload and show you the real before/after.