Real-time
Two-way sync
Changes in Firebase or Vitally instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
Firebase to Vitally integration — real-time, two-way sync
Keep Firebase and Vitally in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Firebase and Vitally
Treat Vitally like part of your database: its records live in Firebase as real tables, and writes in either place sync to the other in seconds.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Firebase, where it can be queried and joined like everything else.
Stacksync mirrors Account, User, Organization, Task from Vitally into Cloud Storage Objects, Cloud Functions Triggers, Firestore Collections, Firestore Documents in Firebase with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Vitally with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Common use cases
- 01 Sync account health scores and lifecycle stages from Vitally into a CRM so sales sees churn risk before renewals.
- 02 Mirror product-usage traits and NPS responses into a warehouse for retention and expansion reporting.
- 03 Write CRM-side changes (plan, status, owner) back into Firestore documents the app reads.
- 04 Combine Firebase Authentication users with billing and CRM records into one customer table.
Common sync patterns
Trigger workflows from CRM changes
Field and stage updates in Vitally arrive as row changes in Firebase, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Vitally become tables in Firebase you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to Firebase sync onto the matching records in Vitally, giving go-to-market teams live product context.
What you can sync between Firebase and Vitally
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.
| Firebase objects | Vitally objects | How this pairing syncs | |
|---|---|---|---|
| Authentication Users User accounts read into CRMs and warehouses for customer records. | Note Account and user notes captured by success teams. | Authentication Users is specific to Firebase and Note to Vitally — each maps to any object or custom field on the other side. | |
| Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | Conversation Customer conversations logged in Vitally; activity objects include parent object details in the payload. | Cloud Storage Objects is specific to Firebase and Conversation to Vitally — each maps to any object or custom field on the other side. | |
| Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | NPS Response NPS survey responses for account-health reporting. | Cloud Functions Triggers is specific to Firebase and NPS Response to Vitally — each maps to any object or custom field on the other side. | |
| Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | Custom Trait Custom account and user traits for segmentation. | Firestore Collections is specific to Firebase and Custom Trait to Vitally — each maps to any object or custom field on the other side. | |
| Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | Account Core customer account records with health scores and lifecycle traits; created, updated, retrieved, and listed via the REST API. | Firestore Documents is specific to Firebase and Account to Vitally — each maps to any object or custom field on the other side. | |
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | User End users tied to accounts, including activity and custom traits. | Subcollections is specific to Firebase and User to Vitally — each maps to any object or custom field on the other side. |
How changes propagate between Firebase and Vitally
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Firebase Vitally Interval-based propagation
DetectionStacksync polls Firebase for changes on an incremental schedule, reading only records changed since the previous pass. Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes.
DeliveryEach detected change is written to Vitally through its API, with automatic retries and rate-limit backoff.
Vitally Firebase Sub-second propagation
DetectionVitally notifies Stacksync of record changes through webhook events. Incremental polling on updatedAt cursors.
DeliveryEach detected change is written to Firebase through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Firebase: Subject to Firestore's documented operation quotas and per-document write throughput limits.
- Vitally: Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
What ships with Firebase ⇄ Vitally
Connect Firebase and Vitally for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–Vitally connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or Vitally data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Firebase or Vitally record.
Observability
Monitoring
Track your Firebase ⇄ Vitally sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Firebase and Vitally.
How the Firebase and Vitally connectors work
Firebase
- Integration surface
- REST and gRPC APIs, typically accessed through the Firebase Admin SDK
- Authentication
- Google service account credentials (IAM) for server-side access; Firebase Auth tokens for client contexts
- Change detection
- Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes
- Capabilities
- read · write
- Rate limits
- Subject to Firestore's documented operation quotas and per-document write throughput limits
Vitally
- Integration surface
- REST API with cursor-based pagination (sortable by createdAt/updatedAt)
- Authentication
- API key via Basic Auth; keys created in Settings -> Integrations -> REST API and individually revocable
- Change detection
- Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates
- Capabilities
- read · write · webhooks
- Rate limits
- Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
How it works
How to connect Firebase to Vitally — three steps, no code
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.
- 01
Connect your apps
Authenticate Firebase and Vitally with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Firebase
connected
Vitally
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and Vitally 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.
objects · Firebase ⇄ VitallyCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Firebase VitallyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and Vitally integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Firebase and Vitally: authenticate both systems, choose the objects to sync (such as Firebase's Authentication Users and Cloud Storage Objects), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Firebase and Vitally connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Firebase–Vitally integration in-house.
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Yes — Stacksync ships production-grade connectors for both Firebase and Vitally. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Firebase: Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes. On Vitally: Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Vitally side: Account, User, Organization, Task, plus custom fields where Vitally exposes them. On the Firebase side: Cloud Storage Objects, Cloud Functions Triggers, Firestore Collections, Firestore Documents. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
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