Two-way sync
Changes in Firebase or Ramp instantly reflect in both systems. No stale data, no manual imports.
Keep Firebase and Ramp in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.
Stacksync mirrors Vendors, Funds (Spend Controls), General Ledger Accounts, Transactions from Ramp into Cloud Storage Objects, Cloud Functions Triggers, Firestore Collections, Firestore Documents in Firebase and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Firebase, and rows your code writes or updates flow back into Ramp with validation, so the finance system stays the system of record.
Updates written to the synced tables in Firebase propagate into Ramp, so automations can create or correct finance records without custom integration code.
Changes in Ramp appear in Firebase as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Ramp live in Firebase as regular tables or collections your team can join, index, and query.
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 | Ramp objects | How this pairing syncs | |
|---|---|---|---|
| Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | Funds (Spend Controls) Spend controls governing card usage; read and created via the funds API to enforce budgets per user, department, or program. | Realtime Database Nodes is specific to Firebase and Funds (Spend Controls) to Ramp — each maps to any object or custom field on the other side. | |
| Authentication Users User accounts read into CRMs and warehouses for customer records. | General Ledger Accounts Chart-of-accounts entries uploaded from the ERP; accounting codings are posted back against transactions and bills. | Authentication Users is specific to Firebase and General Ledger Accounts to Ramp — 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. | Transactions Card purchase records with merchant, amount, and state; read for spend/GL sync and written back via accounting codings and sync status. | Cloud Storage Objects is specific to Firebase and Transactions to Ramp — 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. | Cards Physical and virtual card records; created and managed through the API to provision or suspend cardholder spend. | Cloud Functions Triggers is specific to Firebase and Cards to Ramp — 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. | Users Employee and cardholder records; invited, updated, and deactivated, commonly synced from an HRIS or identity provider. | Firestore Collections is specific to Firebase and Users to Ramp — 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. | Departments Org groupings for cost-center and GL allocation; pushed from an ERP/HRIS and referenced by cards and transactions. | Firestore Documents is specific to Firebase and Departments to Ramp — each maps to any object or custom field on the other side. |
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.
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 Ramp through its API, with automatic retries and rate-limit backoff.
DetectionRamp notifies Stacksync of record changes through webhook events. Signed webhooks (HMAC-SHA256 X-Ramp-Signature) for bill, transaction, reimbursement, vendor, and user events.
DeliveryEach detected change is written to Firebase through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–Ramp connection.
Changes in Firebase or Ramp instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Firebase or Ramp data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Firebase or Ramp record.
Track your Firebase ⇄ Ramp sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Firebase and Ramp.
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 Firebase and Ramp 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 Firebase and Ramp 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 Firebase and Ramp: authenticate both systems, choose the objects to sync (such as Firebase's Realtime Database Nodes and Authentication Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Ramp side: Vendors, Funds (Spend Controls), General Ledger Accounts, Transactions, plus custom fields where Ramp 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.
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.
Common patterns for Firebase and Ramp: Write back safely; React to financial events; Query finance data like any other data. Updates written to the synced tables in Firebase propagate into Ramp, so automations can create or correct finance records without custom integration code.
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. Ramp: REST API (Developer API v1). Authentication: OAuth 2.0: exchange client_id/client_secret (HTTP Basic) at api.ramp.com/developer/v1/token for scoped bearer tokens; client_credentials grant for server-to-server and authorization_code for user-delegated access; scopes follow resource:permission (e.g. transactions:read, bills:write, accounting:write). Stacksync manages authentication, retries, and rate limits on both sides.
Ramp: Accounting is push-based: partners upload GL accounts and field options, post codings, then post ready-to-sync and sync status — Ramp does not pull from the ERP. 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 Ramp without custom code.
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 527 integrations available for Firebase and Ramp.