Google Cloud Partner
Move from MongoDB Atlas or DynamoDB to serverless Google Cloud Firestore. Both are NoSQL document databases, but the data models differ, so we re-design collections and queries to fit Firestore, migrate your documents, and rewire application access.
Yes, you can migrate from MongoDB to Google Cloud Firestore. Codimite, a Google Cloud Partner, moves MongoDB Atlas and DynamoDB document data into Firestore. Because both are NoSQL but model data differently, the real work is re-designing your collections, documents and queries to fit Firestore, then migrating documents and rewiring application access. The result is a fully serverless, autoscaling database with real-time sync, scoped honestly up front.
Why migrate
No clusters to size, shard or patch, Firestore scales automatically with usage.
Built-in real-time listeners and offline sync for web and mobile, which MongoDB needs extra services to match.
Native ties to Firebase Auth, Cloud Functions, and the wider Google Cloud data stack.
Pay for what you use, with managed backups and replication, instead of running an Atlas cluster or DynamoDB capacity model.
Multi-region Firestore for low-latency reads at scale without manual sharding.
What we migrate
| MongoDB / DynamoDB object | Migrates to Firestore | Notes, NoSQL model differences |
|---|---|---|
| Collections & documents | Firestore collections & documents | Re-modeled, not copied; large embedded docs split into subcollections (1 MiB document limit) |
| Document data (BSON/JSON items) | Firestore document fields | Field types mapped; nested arrays/objects re-shaped to Firestore types |
| Indexes & queries | Firestore indexes & queries | Ad-hoc Mongo queries re-designed to Firestore's composite-index model |
| Application data access | Firestore SDK calls | Driver/SDK and access patterns rewritten to Firestore's API |
| Access control | Firestore Security Rules / IAM | Mongo roles re-mapped to Firestore rules and Cloud IAM |
| Stored logic / aggregation | Cloud Functions / app layer | Aggregation pipelines re-implemented; Firestore has no server-side aggregation parity |
The data copy is the easy part. The effort is the data-model re-design and query rewrite to suit Firestore's strengths, we scope this explicitly in assessment so the estimate is realistic.
Our process
We review your collections, document shapes, query patterns and application access, and design the Firestore data model with an honest effort estimate.
We map collections, documents and subcollections, define Firestore indexes and Security Rules, and re-design queries that don't map directly.
Documents are migrated in batches with continuous capture of changes where needed, keeping MongoDB live in parallel.
Document counts, sampled field checks and application tests confirm data integrity and that re-designed queries return correct results.
A scheduled switch repoints the application to Firestore once changes are caught up, with a tested rollback path.
Query tuning, index optimization and support through stabilization.
Why Codimite
A Google Cloud Partner with 85+ Google Certified Specialists across data and application engineering: we re-design for Firestore's strengths, rewrite the data-access layer and queries, and prove correctness with document-count and field reconciliation.
Get a QuoteGoogle Cloud Partner. With 85+ Google Certified Specialists across data and application engineering.
NoSQL data-model expertise. We re-design for Firestore's strengths rather than forcing a MongoDB schema onto it.
Application-aware. We rewrite the data-access layer and queries, not just the data, so the app works correctly on Firestore.
Data-integrity verification. Document-count and field reconciliation proves nothing was lost or mis-mapped.
FAQs
Yes, MongoDB Atlas and DynamoDB. Both are NoSQL document stores, but their data models differ, so we re-design collections and queries for Firestore, then migrate the documents and rewire access.
We map MongoDB collections/documents to Firestore collections, documents and subcollections, respect Firestore's document-size and indexing model, and re-design ad-hoc queries to Firestore's query API.
Yes. We map DynamoDB items and keys to Firestore documents and collections, re-designing access patterns to suit Firestore.
Days to a couple of weeks for a small app; longer for larger estates, because the data-model re-design and query rewrite, not the data copy, drive the timeline.
Pricing is scoped to data volume, model complexity and the application rewrite. Start with a free assessment for a fixed quote.
Planning a wider move to Google Cloud? See our Enterprise Google Migration Services hub for the full database, infrastructure and analytics migration practice.
Codimite, a Google Cloud Partner, migrates MongoDB Atlas and DynamoDB to serverless Google Cloud Firestore with honest NoSQL data-model re-design, document migration and rewired application access. Start with a free quote.
Get a Quote
