What is Firestore with MongoDB compatibility?
Firestore with MongoDB compatibility is a MongoDB-compatible API that Google implements natively inside the existing Firestore service. Applications speak the MongoDB Query Language (MQL) and use the official MongoDB drivers and tools. Because the compatibility lives directly in Firestore, no changes to application code are required. At GA the service covers over 200 MongoDB capabilities and documents the supported features across MongoDB versions 3.6 through 8.0.
This solves a concrete problem: teams want to keep the familiar MongoDB development experience while avoiding the operational overhead of a self-managed database. Firestore is serverless, scales automatically on demand, and replicates data regionally or across multiple regions with strong consistency. As a result, existing MongoDB workloads can move to a managed Google Cloud service without rewriting the stack.
Core Features
- MongoDB API native to Firestore: Support for MQL and over 200 MongoDB capabilities, so existing drivers, tools, and integrations keep working with no code changes.
- Serverless with automatic scaling: On-demand scaling of compute and storage without capacity planning, with single-digit-millisecond read latency and multi-region replication with strong consistency.
- Disaster recovery and data management: Point-in-time recovery (rollback up to 7 days), database clones for staging and development, managed export and import to Cloud Storage, and change data capture via Eventarc triggers.
- Security and governance: IAM, VPC Service Controls, Private Google Access, customer-managed encryption keys (CMEK), plus integration with Cloud Monitoring and Cloud Logging, query explain, and query insights.
Typical Use Cases
MongoDB migration with no code changes: Existing MongoDB applications can move to a managed, serverless service. The official MongoDB drivers and tools stay in use, while the operational burden of patching, scaling, and backups disappears.
Serverless backends for web and mobile: The document model and automatic scaling suit app backends with variable load. In a multi-region configuration, strong consistency provides reliable reads across regions.
Analytics integration via change data capture: With Eventarc triggers you can capture changes and replicate them to BigQuery, for example. This creates fresh analytics paths without loading the operational database.
Benefits
- Familiar MongoDB development experience without the overhead of a self-managed database
- High availability with SLAs of 99.99% (regional) and up to 99.999% (multi-region)
- EU regions and data sovereignty for workloads with data residency requirements
Integration with innFactory
As a certified Google Cloud Partner, innFactory supports you with the adoption and operation of this service.
Typical Use Cases
Frequently Asked Questions
What is Firestore with MongoDB compatibility?
Firestore with MongoDB compatibility implements the MongoDB API and the MongoDB Query Language (MQL) natively inside the existing Firestore service. Existing MongoDB drivers, tools, and integrations work without changes to application code. At GA it supports over 200 MongoDB capabilities, documented across MongoDB versions 3.6, 4.0, 5.0, 6.0, 7.0, and 8.0.
When should I use Firestore with MongoDB compatibility?
Use it when you want to move existing MongoDB applications onto a managed, serverless service on Google Cloud without rewriting code. It also fits new document-based backends that need automatic scaling, strong consistency, and low read latency, as well as multi-region applications with high availability requirements.
How much does Firestore with MongoDB compatibility cost?
Billing is usage-based with no upfront fees. You pay for read, write, and delete operations, index entries read, storage, and network traffic. The service is delivered through the Firestore Enterprise edition. A free tier is available. The official Firestore Enterprise pricing page lists the concrete rates.
Which disaster recovery and security features are included?
Available capabilities include point-in-time recovery with rollback up to 7 days, database clones for staging and development, and managed export and import to Cloud Storage. For governance and security it provides IAM, VPC Service Controls, Private Google Access, customer-managed encryption keys (CMEK), and integration with Cloud Monitoring and Cloud Logging.
