Two-way sync
Changes in Azure Cosmos DB or Firebase instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Cosmos DB and Firebase in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Azure Cosmos DB and Firebase continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Keep the same dataset live in both Azure Cosmos DB and Firebase, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Azure Cosmos DB objects | Firebase objects | |
|---|---|---|
| Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | Authentication Users User accounts read into CRMs and warehouses for customer records. | |
| Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | |
| Databases Top-level namespaces that scope containers and throughput provisioning. | Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | |
| Containers The unit of partitioning and throughput; each container maps to a synced collection. | Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | |
| Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | |
| Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | Subcollections Nested collections under documents, typically flattened into related tables during sync. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–Firebase connection.
Changes in Azure Cosmos DB or Firebase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Cosmos DB or Firebase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure Cosmos DB or Firebase record.
Track your Azure Cosmos DB ⇄ Firebase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Cosmos DB and Firebase.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Azure Cosmos DB and Firebase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Azure Cosmos DB and Firebase objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Azure Cosmos DB and Firebase: authenticate both systems, choose the objects to sync (such as Azure Cosmos DB's Change feed entries and Stored procedures and triggers), map fields visually, and changes propagate both ways in milliseconds — no code required.
Azure Cosmos DB: The change feed is a first-class feature: it records inserts and updates (and, in newer modes, deletes) so incremental sync does not require scanning containers. Firebase: Firebase spans two databases with different models: Firestore (collections and documents) and the original Realtime Database (a single JSON tree). Stacksync's field mapping accounts for these differences between Azure Cosmos DB and Firebase without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Azure Cosmos DB and Firebase records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Cosmos DB and Firebase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Cosmos DB–Firebase integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Cosmos DB and Firebase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure Cosmos DB: Built-in change feed exposing inserts and updates in order within each partition key range. On Firebase: Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Azure Cosmos DB and Firebase.