Nothing to provision
No cluster to size, nothing to leave running, no idle spend between queries. Sign in with Google or GitHub and the first query runs in the browser.
Opteryx is a query engine with a workspace around it. Upload a file or query what you already have, write standard SQL in the browser, and see how much data each query scanned next to the rows it returned. There is no cluster to size and nothing to keep running.
Three things we commit to — each one you can check against the product on the free plan.
No cluster to size, nothing to leave running, no idle spend between queries. Sign in with Google or GitHub and the first query runs in the browser.
Access policies are glob patterns over schema.table, granted per identity and scoped to a workspace. Machine access uses tokens you issue and revoke yourself.
The free allowance is a quota, not a credit. With no billing account attached, usage past the limit is blocked, never billed — so an accidental query cannot cost you anything.
A browser SQL workspace — editor, results, charts and history in one place. Nothing to install, and every query is metered as you go.
The query on the right is real. Sign in, paste it, and it runs on the free plan against public.astronomy.exoplanets.
-- Exoplanet discoveries per year SELECT disc_year, COUNT(*) AS planets FROM public.astronomy.exoplanets WHERE disc_year >= 2017 GROUP BY disc_year ORDER BY disc_year; -- 10 rows · 6,324 scanned
The Studio is one client among several. Everything it does is an API you can call yourself, and your data goes in and comes out in formats you already have.
No seats, no reserved capacity, no minimum. Start on the free allowance and add a billing account only when you outgrow it.
Resets every day. A quiet day doesn’t carry over to the next.
Shared across every workspace on the account. Go past it without a billing account and further usage is blocked — you are never charged by surprise.
Start freeBeyond the free allowance, per unit, in GBP excluding VAT.
Roughly £4 per terabyte scanned and about £0.02 per GB stored per month. Usage is attributed per query, so you can always see where it went.
Read the cost model# pip install opteryx-core import opteryx # the same engine, over a file on your disk result = opteryx.query( "SELECT * FROM 'space_missions.parquet' LIMIT 5;" ) result.head()
Opteryx started as a SQL engine you run yourself — over local files, dataframes or object storage, with no cluster and no schema to declare first. It is Apache-2.0 and it stays that way.
The hosted service is that engine with the rest of the job done around it: storage, sign-in, access policies, metering and a workspace to work in. The SQL you write in one is the SQL you write in the other.
Sign in with Google or GitHub, load a file or use the sample datasets, and go.