Real-time
Two-way sync
Changes in Firebase or Gatekeeper instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Firebase to Gatekeeper integration — real-time, two-way sync
Keep Firebase and Gatekeeper 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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Why teams connect Firebase and Gatekeeper
Mirror Gatekeeper's data into Firebase so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Gatekeeper through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Firebase.
Stacksync mirrors Custom data groups, Users, Categories, Contracts from Gatekeeper into Authentication Users, Cloud Storage Objects, Cloud Functions Triggers, Firestore Collections in Firebase and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Gatekeeper, so the tool and the database never disagree.
Common use cases
- 01 Sync Vendors (Suppliers) with a CRM or ERP so counterparty, compliance, contact, and spend records match across the VCLM and the systems of record.
- 02 Push generated documents into Gatekeeper Files, or pull executed contract PDFs and compliance evidence out into a document store or archive.
- 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
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Gatekeeper with a query
Records from Gatekeeper are ordinary rows in Firebase; join them, index them, and use them in application logic without touching the vendor API.
Automate Gatekeeper from your codebase
Write to the synced tables in Firebase and Stacksync propagates the change into Gatekeeper, replacing custom integration code.
What you can sync between Firebase and Gatekeeper
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 | Gatekeeper objects | How this pairing syncs | |
|---|---|---|---|
| Authentication Users User accounts read into CRMs and warehouses for customer records. | Users Gatekeeper user and team records governed by role-based access; read to map contract and vendor owners, approvers, and internal contacts to CRM or HR records. | Authentication Users is specific to Firebase and Users to Gatekeeper — 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. | Categories The classification taxonomy applied to contracts and vendors (type, department, business unit); synced so categorization stays consistent between Gatekeeper and downstream reporting or ERP dimensions. | Cloud Storage Objects is specific to Firebase and Categories to Gatekeeper — 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. | Contracts The core contract records holding value, key dates, renewal terms, status, type, owner, and the linked vendor; created, read, updated, and deleted so contract data moves two-way between Gatekeeper and a database, ERP, or CRM. | Cloud Functions Triggers is specific to Firebase and Contracts to Gatekeeper — 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. | Vendors (Suppliers) Company records for counterparties and suppliers with onboarding status, compliance, risk, contacts, and spend; read and written to keep vendor master data aligned with a CRM or ERP. | Firestore Collections is specific to Firebase and Vendors (Suppliers) to Gatekeeper — 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. | Files Document files attached to contracts and vendors - executed PDFs, certificates, and compliance evidence; read to pull signed files and evidence out, or written to push generated documents in. | Firestore Documents is specific to Firebase and Files to Gatekeeper — each maps to any object or custom field on the other side. | |
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | Workflow form data The structured data captured on Gatekeeper workflow forms (intake requests, vendor onboarding, risk assessments); exposed by the API since 2025 so form results sync into an operational database, not only contract and vendor records. | Subcollections is specific to Firebase and Workflow form data to Gatekeeper — each maps to any object or custom field on the other side. |
How changes propagate between Firebase and Gatekeeper
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 Gatekeeper 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 Gatekeeper through its API, with automatic retries and rate-limit backoff.
Gatekeeper Firebase Interval-based propagation
DetectionStacksync polls Gatekeeper for changes on an incremental schedule, reading only records changed since the previous pass. No native developer webhook subscription API and no database change-data-capture log.
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.
- Gatekeeper: Gatekeeper publishes no fixed public per-minute request quota; throughput is governed per key by its endpoint permissions, and every call is recorded (parameters, payload, response) under API Logs for monitoring. Pace bulk writes and use JSON:API pagination on list endpoints.
What ships with Firebase ⇄ Gatekeeper
Connect Firebase and Gatekeeper for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–Gatekeeper connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or Gatekeeper 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 Gatekeeper record.
Observability
Monitoring
Track your Firebase ⇄ Gatekeeper 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 Gatekeeper.
How the Firebase and Gatekeeper 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
Gatekeeper
- Integration surface
- RESTful API following the JSON:API specification, tenant-scoped with interactive docs at {tenant}.gatekeeperhq.com/api_docs and a published Postman collection. The API is dynamic: it exposes the standard Contract and Vendor objects plus any custom data groups and workflow-form data configured in the tenant.
- Authentication
- API keys created and managed under Configuration > API Keys and passed as a token; each key carries granular per-endpoint permissions set to read-only or write, so access is scoped per object. Multiple keys can be issued and revoked independently.
- Change detection
- No native developer webhook subscription API and no database change-data-capture log; detect changes by polling the JSON:API list endpoints filtered and sorted on updated-at timestamps. Gatekeeper's own event automation - Workflow Engine phase transitions and Interconnect process orchestration - runs inside the platform rather than as a subscribable webhook stream.
- Capabilities
- read · write
- Rate limits
- Gatekeeper publishes no fixed public per-minute request quota; throughput is governed per key by its endpoint permissions, and every call is recorded (parameters, payload, response) under API Logs for monitoring. Pace bulk writes and use JSON:API pagination on list endpoints.
How it works
How to connect Firebase to Gatekeeper — 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 Gatekeeper 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
Gatekeeper
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and Gatekeeper 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 ⇄ GatekeeperCustomers 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 GatekeeperCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and Gatekeeper integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Firebase and Gatekeeper: 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.
-
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. Gatekeeper: RESTful API following the JSON:API specification, tenant-scoped with interactive docs at {tenant}.gatekeeperhq.com/api_docs and a published Postman collection. The API is dynamic: it exposes the standard Contract and Vendor objects plus any custom data groups and workflow-form data configured in the tenant. Authentication: API keys created and managed under Configuration > API Keys and passed as a token; each key carries granular per-endpoint permissions set to read-only or write, so access is scoped per object. Multiple keys can be issued and revoked independently. Stacksync manages authentication, retries, and rate limits on both sides.
-
Gatekeeper: Gatekeeper's API follows the JSON:API specification and is dynamic - it automatically exposes any custom data groups and, since a 2025 update, data captured in workflow forms, not only Contract and Vendor records. Firebase: Firestore documents are schemaless and support nested maps and arrays, so syncs define field mappings per document path rather than from a fixed schema. Stacksync's field mapping accounts for these differences between Firebase and Gatekeeper 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 Firebase and Gatekeeper 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 Firebase and Gatekeeper connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Firebase–Gatekeeper integration in-house.
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Yes — Stacksync ships production-grade connectors for both Firebase and Gatekeeper. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 433 integrations available for Firebase and Gatekeeper.
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