How to Migrate From Firebase to AWS, Step by Step

Firebase is a genuinely great place to start a product. It's also a platform a lot of growing teams eventually outgrow — usage-based pricing that gets expensive at scale, less control over your data layer, and limits that only become visible once you're already relying on the workarounds. If you're reading this, you've probably already made the decision to move. Here's how to do it without breaking production.

Step 1: Map what you're actually migrating

Before touching any code, write down every Firebase service your app actually uses. Most teams are using more of it than they realize:

• Firestore or Realtime Database → your data layer
• Firebase Auth → your user accounts and sessions
• Cloud Functions → your backend logic
• Firebase Hosting → your frontend delivery
• Cloud Storage → your file/image uploads

Each of these maps to a different AWS service, and each has a different migration difficulty. Get this list complete before estimating the timeline — the most common planning mistake is only accounting for the database and forgetting that auth and storage need their own migration paths too.

Step 2: Choose your AWS equivalents

A reasonable default mapping looks like this:

• Firestore → DynamoDB (NoSQL, similar document-style thinking, though the query model is genuinely different — plan time to redesign your access patterns, not just export-and-import)
• Firebase Auth → Amazon Cognito, or a self-rolled JWT-based auth system if you want more control
• Cloud Functions → AWS Lambda, usually behind API Gateway
• Firebase Hosting → S3 + CloudFront, or a platform like Vercel/Amplify if you want less infrastructure to manage directly
• Cloud Storage → S3

Step 3: Rebuild your data model before you migrate data

This is the step teams most often skip, and it's the one that causes the most pain later. Firestore's query model (collections, subcollections, flexible ad-hoc queries) doesn't translate directly to DynamoDB, which wants you to design your access patterns — the actual questions you'll ask the database — up front, and structure your keys and indexes around them.

Trying to migrate Firestore data into DynamoDB with the same shape you had in Firestore usually means fighting the database from day one. Take the time to redesign properly: what are the five or six things your app actually needs to look up, and what partition keys and sort keys make those lookups a single, fast query instead of a slow scan.

Step 4: Migrate auth carefully — this is the highest-risk step

Users' passwords are hashed with algorithms specific to the platform that created them, and you generally can't decrypt Firebase's password hashes to re-hash them for a new system. Two realistic approaches:

Force a password reset for all users on migration — simplest, but a real friction point for your users.

Migrate incrementally: keep Firebase Auth running in read-only mode alongside your new auth system, and migrate each user's credentials the next time they log in (verify their password against Firebase, then create their account in the new system with a freshly-hashed password). This is more engineering work but avoids forcing every user through a reset at once.

Step 5: Run both systems in parallel before cutting over

Don't do a single flag-flip migration on your first attempt. Stand up the AWS backend, point a small percentage of traffic or a staging environment at it, and validate real user flows — signup, login, core actions — before moving 100% of production traffic over. Firebase's real-time listeners in particular behave differently enough from a typical REST/WebSocket setup on AWS that this is worth testing thoroughly, not just trusting on paper.

Step 6: Migrate data with a plan for consistency

For anything beyond a small dataset, plan for the fact that data will keep changing in Firebase while you're migrating it to DynamoDB. A common pattern: do a full bulk export first, then run a short window where you also capture and replay any writes that happened during the export, before finally cutting traffic over. For a low-write-volume app, a maintenance window might be simpler and perfectly acceptable — know which situation you're actually in before picking your approach.

Step 7: Keep Firebase around, dormant, for longer than feels necessary

Don't delete your Firebase project the day after cutover. Keep it live and untouched for a few weeks minimum — if something surfaces in production that only shows up under real usage patterns, having the old system available as a reference (or emergency fallback) is worth far more than the small monthly cost of leaving it running a bit longer.

Migrations like this are rarely about the code being hard to write. They're about the sequencing — doing the risky, hard-to-reverse steps (auth, data model redesign) with enough care that the actual cutover, when it happens, is almost boring.