How to switch odds data providers without downtime
The safe way to migrate off an odds provider is to run the new feed alongside your current one, diff it on your real traffic, and cut over only when it matches or beats what you have.
James··8 min read
Switch odds data providers by running both feeds in parallel before you commit. Map the new feed's fields to the shape you already consume, compare coverage and freshness against your current provider on your real markets with a trial key, then cut over once the new feed matches or beats the old one. Never switch blind. A migration done this way has no user-facing downtime, because the old feed keeps serving until the moment the new one has earned the traffic.
What is the safe way to migrate off an odds provider?
The safe path is a parallel run, not a hard swap. You keep your current provider serving production while the new feed runs beside it, reading the same events, so you can measure the difference before anything changes for users. Four steps, in order: map the fields, run in parallel against your real traffic, diff coverage and freshness, then cut over. The rest of this guide takes each in turn.
This mirrors how you would test any provider cold. If you have not shortlisted yet, start with choosing an odds API; if you are validating a single candidate, test a feed before you buy covers the acceptance run. Migration is that same acceptance run, executed with your existing feed as the benchmark.
Step 1: map the new feed's fields to yours
Start by writing an explicit mapping from the new feed's fields to the shape your code already expects. Your ingestion layer reads a fixed set of keys today. The migration is easy or painful depending on how cleanly the new feed lines up with them, so put the mapping on paper before you write an adapter.
For a matched feed the fields that matter are the identifiers and the paired prices. Each row carries an event, market, and selection, a back block with the bookmaker and odds, a paired lay block with the exchange and odds, and the computed rating and qualifying_loss. Map each of those to your internal names once, in one adapter, and the rest of your pipeline does not need to know a provider changed.
Field to map
What to check when you map it
event / market / selection
Do the identifiers stay consistent across polls, so you can join rows over time?
back (bookmaker, odds)
Is the bookmaker slug stable, and is bet365 present where your old feed had a gap?
lay (exchange, odds, liquidity)
Which exchanges back the lay price, and is liquidity carried so the lay is real?
rating / qualifying_loss
Are these computed for you, or will you have to derive them and lose the day-one render?
The mapping is where an easy migration is won or lost: consistent identifiers make the adapter trivial.
OddsRelay's envelope is deliberately close to what most oddsmatcher and scanner products already model, and the full field list is in the API docs. The two things that make the mapping short are predictable JSON, so a field is where you expect it every time, and consistent identifiers, so event and selection values do not drift between polls and break your joins.
Step 2: run the new feed in parallel with your current one
Run the new feed alongside your live provider against your real traffic, writing its output to a shadow table your users never see. This is the step that removes downtime from the migration entirely. Your current feed keeps serving; the new one is observed, not trusted, until it has proven itself on the exact events your product cares about.
Same events, both feeds: point the new feed at the markets you actually serve, not a vendor demo. A feed can look complete on football and thin on the markets you depend on.
Shadow, do not serve: store the new feed's rows beside the old ones and compare them offline. Nothing user-facing changes during the parallel run.
Long enough to see change: run it across a busy period, not a quiet afternoon, so freshness and completeness are tested when they are hardest to hold.
Step 3: diff coverage and freshness on your real markets
Compare the two feeds row by row on coverage and freshness, using your live provider as the benchmark. This is the decision gate. You are answering one question: does the new feed match or beat what I have today, on the markets and books I actually sell?
Coverage is not one number, so diff it on the dimensions that break products. Evaluating coverage goes deeper, but for a migration the sharp checks are these:
Book breadth: does the new feed carry the books you rely on, and does it close gaps? OddsRelay covers 60+ UK books with bet365 included as standard, with coverage built to extend into the domestic South African and Nigerian books the large aggregators tend to skip.
The lay side: is each back price paired with a real exchange lay across the three exchanges (Betfair, Smarkets, Matchbook), with liquidity, so a matched or arbitrage signal is complete rather than half-present?
Freshness: how recently was each price seen? A stale price that reads as usable is worse than a missing one. Diff the age of matched rows between the two feeds on the same events.
Completeness over the run: did selections quietly drop when the feed hiccupped, or did the market stay whole across the whole parallel window?
On speed, hold both feeds to the same honest standard. OddsRelay's posture is pre-match polling on roughly a few-second cycle, which suits pre-match matched betting and arbitrage. Freshness, uptime and latency are published on the coverage dashboard, so you can diff against a stated number rather than a promise. If the feed you are leaving never let you see its reliability, that opacity is itself a reason the migration is worth finishing.
Step 4: cut over once the new feed wins
Cut over only after the diff shows the new feed matching or beating your current one on your own markets. With the adapter already written and the parallel run already green, the cutover is a config change, not a rebuild. Flip ingestion to the new feed, keep the old provider available for a short rollback window, then decommission it once you have watched a full busy period on the new source.
Confirm the coverage and freshness diff is favourable across a busy window, not a single sample.
Point production ingestion at the new feed through the adapter you built in step one.
Keep the old provider warm briefly, so rollback is a flag flip rather than a re-integration.
Retire the old feed once the new one has held through peak, and update your runbook.
What makes a migration easy?
Three properties of the incoming feed decide whether the switch takes an afternoon or a fortnight. They are the same properties you should have weighed when shortlisting, and they matter twice as much when you are replacing something already in production.
Predictable JSON: every field sits where you expect it on every poll, so one adapter maps the feed and never needs babysitting.
Consistent identifiers: event, market and selection values stay stable across polls, so your joins, your shadow diff, and your existing history all keep working.
A trial you can run alongside your current feed: a key that lets you shadow production before you commit is what makes the parallel run possible at all. Without it you are switching blind.
A feed that offers all three lets you carry out this entire playbook before a single user is affected. That is the point of migrating deliberately: the risk lives in the parallel run, where nothing is at stake, not in the cutover, where everything is.
The short answer
Map the new feed to your fields, run it in parallel against your real traffic, diff coverage and freshness on your own markets, then cut over once it matches or beats your current provider. The parallel run is what removes downtime, because the old feed serves until the new one has earned the switch. OddsRelay is built to make that easy: predictable JSON, consistent identifiers, 60+ UK books with bet365 included and matched against three exchanges, and it powers a leading UK matched-betting platform today. The cleanest way to start is a free trial key you can shadow against your current feed, then watch the coverage live before you commit.
James is the founder of OddsRelay — the odds-data feed behind matched betting, arbitrage and odds-comparison products: 60+ UK bookmakers with bet365 included, matched against exchange lay prices and delivered as one clean, documented API. He writes here about how that data layer actually behaves — coverage, matching, freshness and the trade-offs — from the side that builds and runs it. The same feed powers a leading UK matched-betting platform today.