Real-time
Two-way sync
Changes in DealCloud or Firebase instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
DealCloud to Firebase integration — real-time, two-way sync
Keep DealCloud 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.
- 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
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Case study
Migrated from Celigo
Why teams connect DealCloud and Firebase
Treat DealCloud 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 Company, Contact, Fund, Investment from DealCloud 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 DealCloud 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 Mirror DealCloud activities and tasks into an operational database to power internal dashboards without hitting the API on every read.
- 02 Push portfolio and fund performance data from a warehouse into DealCloud so dealmakers see up-to-date metrics on each investment.
- 03 Combine Firebase Authentication users with billing and CRM records into one customer table.
- 04 Replace one-off Cloud Functions export code with managed, continuous sync.
Common sync patterns
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the DealCloud API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in DealCloud arrive as row changes in Firebase, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from DealCloud become tables in Firebase you can join with application data directly.
What you can sync between DealCloud and Firebase
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.
| DealCloud objects | Firebase objects | How this pairing syncs | |
|---|---|---|---|
| Contact Synced with incremental and full sync. | Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | Contact is specific to DealCloud and Firestore Documents to Firebase — each maps to any object or custom field on the other side. | |
| Fund Synced with incremental and full sync. | Subcollections Nested collections under documents, typically flattened into related tables during sync. | Fund is specific to DealCloud and Subcollections to Firebase — each maps to any object or custom field on the other side. | |
| Investment Synced with incremental and full sync. | Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | Investment is specific to DealCloud and Realtime Database Nodes to Firebase — each maps to any object or custom field on the other side. | |
| Relationship Synced with incremental and full sync. | Authentication Users User accounts read into CRMs and warehouses for customer records. | Relationship is specific to DealCloud and Authentication Users to Firebase — each maps to any object or custom field on the other side. | |
| Activity Synced with incremental and full sync. | Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | Activity is specific to DealCloud and Cloud Storage Objects to Firebase — each maps to any object or custom field on the other side. | |
| Task Synced with incremental and full sync. | Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Task is specific to DealCloud and Cloud Functions Triggers to Firebase — each maps to any object or custom field on the other side. |
How changes propagate between DealCloud and Firebase
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.
DealCloud Firebase Interval-based propagation
DetectionStacksync polls DealCloud for changes on an incremental schedule, reading only records changed since the previous pass. Incremental via each entry's last-modified timestamp.
DeliveryEach detected change is written to Firebase through its API, with automatic retries and rate-limit backoff.
Firebase DealCloud 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 DealCloud through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- DealCloud: API request limits apply per firm tenant; Stacksync manages throttling and retries automatically.
- Firebase: Subject to Firestore's documented operation quotas and per-document write throughput limits.
What ships with DealCloud ⇄ Firebase
Connect DealCloud and Firebase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DealCloud–Firebase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DealCloud or Firebase 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 DealCloud or Firebase record.
Observability
Monitoring
Track your DealCloud ⇄ Firebase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between DealCloud and Firebase.
How the DealCloud and Firebase connectors work
DealCloud
- Integration surface
- REST API (DealCloud Data API v2)
- Authentication
- OAuth 2.0 client-credentials; a DealCloud administrator generates a client ID and secret in the DealCloud admin API settings and grants Stacksync the required scopes
- Change detection
- Incremental via each entry's last-modified timestamp; DealCloud has no universal native change-data-capture, so Stacksync polls modified rows on an interval
- Capabilities
- read · write
- Rate limits
- API request limits apply per firm tenant; Stacksync manages throttling and retries automatically.
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
How it works
How to connect DealCloud to Firebase — 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 DealCloud 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.
DealCloud
connected
Firebase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DealCloud 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.
objects · DealCloud ⇄ FirebaseCustomers 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.
DealCloud FirebaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DealCloud and Firebase integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between DealCloud and Firebase: authenticate both systems, choose the objects to sync (such as DealCloud's Contact and Fund), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for DealCloud and Firebase: Internal tools without API code; Trigger workflows from CRM changes; Query the CRM like a database. Back-office apps read and write the synced tables; Stacksync handles the DealCloud API, limits, and retries.
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DealCloud: REST API (DealCloud Data API v2). Authentication: OAuth 2.0 client-credentials; a DealCloud administrator generates a client ID and secret in the DealCloud admin API settings and grants Stacksync the required scopes. Firebase: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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DealCloud: DealCloud's data model is fully configurable: each firm defines its own entry types (objects) and fields, so syncs map to a firm-specific schema rather than a fixed one. Firebase: Snapshot listeners deliver document changes to connected clients in real time, which is the platform's native change-notification mechanism. Stacksync's field mapping accounts for these differences between DealCloud and Firebase without custom code.
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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 DealCloud and Firebase records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed DealCloud and Firebase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DealCloud–Firebase integration in-house.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 392 integrations available for DealCloud and Firebase.
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