6 answers
Run both APIs in parallel for a while - keep REST working exactly as it is while you roll out GraphQL as a new endpoint. Give clients time to migrate at their own pace, maybe a year or more depending on how many are using you. Document the GraphQL side well so migration feels easy, not forced. Once most folks have switched over, you can deprecate REST gradually with plenty of warning.
Running both in parallel works, but the real pain point nobody mentions is that you'll need to keep your database layer and business logic synchronized across two different query shapes - one team inevitably drifts toward optimizing for GraphQL while REST clients start hitting the same backend and wonder why they're getting timeouts. A cleaner approach is to build GraphQL on top of your existing REST endpoints as an adapter layer first, so you're not actually maintaining two separate code paths, just one translation layer that proves the schema works before you touch the backend itself.
The dual-API approach makes sense, but here's what often gets skipped: version your REST endpoints explicitly (like `/api/v1/`) before you even introduce GraphQL. This gives you a clean separation and means when you eventually sunset REST, you're not yanking the rug out from under anyone still using it. They can stay on v1 forever if they need to, and you've got a clear deprecation path documented from day one.
The synchronization issue that was mentioned is real and painful. What helps is leaning heavily on internal adapters or a query abstraction layer - basically a middle ground that both REST and GraphQL can call into, so your business logic stays DRY. If you build GraphQL resolvers that just translate to the same underlying service calls as your REST controllers, you reduce the chance of them drifting and serving different data. It's a bit more work upfront but saves you from debugging "why does this field have different values in GraphQL vs REST" six months in.
Also worth thinking about: which clients matter most? If you've got 100 internal services using your REST API vs a handful of public consumers, your migration timeline and communication strategy should be totally different. Internal teams can move faster, and you can actually enforce the migration. External users need way more notice and patience.
the bigger issue people gloss over is that you'll end up maintaining two entirely separate documentation, SDKs, and authentication flows if you're not carefull - which means your support team gets hammered with questions about which API to use, and developers pick the wrong one. before launching graphql, lock down exactly how long REST stays supported (like 18 months with a hard sunset date) and communicate that relentlessly, because ambiguity is what kills these migrations. are you planning to keep feature parity between both apis during the transition, or will graphql get new features first to incentivize the switch?
Don't try to make your REST and GraphQL schemas mirror each other perfectly - that's what trips people up. Keep them intentionally loose so GraphQL can reshape queries however makes sense for clients, while your REST layer stays stable; sync at the data layer, not the API contract level, and you'll dodge most of the maintenance nightmare that comes from trying to keep two identical interfaces.
Don't try to swap REST out overnight or do some kind of gradual deprecation where you're already pushing clients toward the new thing while the old one still exists - that's when things break, people get confused about which endpoint to use, and you end up with a fractured ecosystem anyway.
The cleanest path is to stabilize your REST API first. Make sure it's doing what it needs to do, document it properly, and then add GraphQL as a completely separate service layer on top of the same data sources. This means your business logic and database don't need to know about either API format - they're both just talking to the same underlying system. You're not duplicating code, you're just adding another way to query it. This takes the pressure off the synchronization problem that shows up when you're trying to keep two different query patterns in sync.
Set a realistic timeline where both genuinely coexist - maybe 18 months, maybe longer depending on how many clients you have. The key things that actually matter: keep authentication consistent across both endpoints so clients don't have to learn new auth patterns, maintain clear documentation for each API without letting them drift, and have someone (or a team) actually responsible for keeping them aligned. It's not glamorous work, but it prevents the situation where support gets buried because nobody knows which endpoint a client should be using or why their old code suddenly stopped working.
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