Two-way sync
Changes in Firebase or Recurly instantly reflect in both systems. No stale data, no manual imports.
Keep Firebase and Recurly 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 Subscriptions, Plans, Invoices, Transactions from Recurly into Authentication Users, Cloud Storage Objects, Cloud Functions Triggers, Firestore Collections 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 Recurly with validation, so the finance system stays the system of record.
Changes in Recurly appear in Firebase as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Recurly live in Firebase as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on Firebase; Stacksync handles the API calls, rate limits, and retries against Recurly.
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 | Recurly objects | How this pairing syncs | |
|---|---|---|---|
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | Billing Info Tokenized payment method (card/ACH) on an account; written when onboarding customers and read for payment-health signals (never stores raw card numbers). | Subcollections is specific to Firebase and Billing Info to Recurly — each maps to any object or custom field on the other side. | |
| Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | Measured Units and Usage Metered-billing units; usage records are posted to a subscription before each bill run for consumption-based pricing. | Realtime Database Nodes is specific to Firebase and Measured Units and Usage to Recurly — each maps to any object or custom field on the other side. | |
| Authentication Users User accounts read into CRMs and warehouses for customer records. | Accounts Customer/billing entity records keyed by account_code; the anchor most subscriptions and invoices hang off. Synced two-way with CRM accounts or a customer database. | Authentication Users is specific to Firebase and Accounts to Recurly — 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. | Subscriptions Recurring subscription records tied to an Account and a Plan, with state, term, and next-bill date. Core object, synced two-way to drive provisioning and reporting. | Cloud Storage Objects is specific to Firebase and Subscriptions to Recurly — 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. | Plans The product and pricing catalog (plan codes, intervals, add-ons); usually mastered in Recurly and read out, or mirrored from a product database. | Cloud Functions Triggers is specific to Firebase and Plans to Recurly — 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. | Invoices Charge and credit billing documents; read-heavy for revenue reporting, and creatable through Purchases for one-off charges. | Firestore Collections is specific to Firebase and Invoices to Recurly — 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 Recurly through its API, with automatic retries and rate-limit backoff.
DetectionRecurly notifies Stacksync of record changes through webhook events. Webhooks (JSON or XML, one format per endpoint) for account, subscription, payment, and invoice events, plus incremental polling of list endpoints.
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–Recurly connection.
Changes in Firebase or Recurly instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Firebase or Recurly 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 Recurly record.
Track your Firebase ⇄ Recurly sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Firebase and Recurly.
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 Recurly 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 Recurly 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 Recurly: authenticate both systems, choose the objects to sync (such as Firebase's Subcollections and Realtime Database Nodes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Firebase: Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes. On Recurly: Webhooks (JSON or XML, one format per endpoint) for account, subscription, payment, and invoice events, plus incremental polling of list endpoints sorted by updated_at with begin_time/end_time filters. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Recurly side: Subscriptions, Plans, Invoices, Transactions, plus custom fields where Recurly exposes them. On the Firebase side: Authentication Users, Cloud Storage Objects, Cloud Functions Triggers, Firestore Collections. 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 Recurly: React to financial events; Query finance data like any other data; Internal tools without API plumbing. Changes in Recurly appear in Firebase as row changes, so you can trigger downstream logic with the database tooling you already use.
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. Recurly: REST API (V3, date-versioned; legacy V2 XML API also exists). Authentication: API key via HTTP Basic auth (key as username, blank password); keys are per-site, with separate sandbox and production keys. Stacksync manages authentication, retries, and rate limits on both sides.
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 Recurly.