Two-way sync
Changes in Google Cloud Platform or RingCentral instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and RingCentral in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
RingCentral produces a constant stream of activity — messages sent and received, calls placed and answered, meetings held, and the delivery and engagement events attached to them. That record is what the rest of the company wants to analyze, and it usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay to get it out.
Stacksync syncs Presence, Subscriptions (Webhooks / WebSocket), Message Store (SMS / MMS / Fax / Voicemail), Call Log from RingCentral into tables in Google Cloud Platform in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Google Cloud Platform — segments, contact updates, suppression flags — can be written back into fields in RingCentral wherever it exposes them, so analysis lands where outreach actually happens.
Combine RingCentral's activity with the CRM, product, and support data already in Google Cloud Platform to attribute outcomes to the touches that drove them, which no single tool can do alone.
Segments, contact fields, or suppression flags computed in Google Cloud Platform sync back onto records in RingCentral, putting warehouse analysis where the outreach happens.
A continuously synced copy in Google Cloud Platform preserves messages, call logs, and events for reporting and audit even as they age out of RingCentral or get purged inside it.
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.
| Google Cloud Platform objects | RingCentral objects | How this pairing syncs | |
|---|---|---|---|
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Presence Real-time presence and detailed telephony state per extension, read via GET presence and subscribed to for live updates, used to reflect agent availability and call status across systems. Read-only. | BigQuery datasets is specific to Google Cloud Platform and Presence to RingCentral — each maps to any object or custom field on the other side. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Subscriptions (Webhooks / WebSocket) Event subscriptions created through the Subscription API with eventFilters (message-store, presence, telephony sessions, extension changes); full CRUD, and the mechanism for near-real-time change delivery over webhooks or WebSocket. Read and write. | BigQuery tables is specific to Google Cloud Platform and Subscriptions (Webhooks / WebSocket) to RingCentral — each maps to any object or custom field on the other side. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Message Store (SMS / MMS / Fax / Voicemail) Messages in an extension's mailbox - SMS, MMS, fax, voicemail, and pager - read via GET /account/~/extension/~/message-store filtered by dateFrom/dateTo and messageType; outbound SMS is sent via POST /sms, MMS and fax via POST /fax, and messages can be marked read or deleted. Read and write. | Cloud SQL databases is specific to Google Cloud Platform and Message Store (SMS / MMS / Fax / Voicemail) to RingCentral — each maps to any object or custom field on the other side. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Call Log Call detail records with direction, result, duration, from/to numbers, and recording references, from the account-wide and per-extension call-log endpoints, filtered by dateFrom/dateTo. Read-only records. | Cloud Storage objects is specific to Google Cloud Platform and Call Log to RingCentral — each maps to any object or custom field on the other side. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Extensions (Users) User extensions with profile, status, roles, and assigned phone numbers via the Configuration API; create, update, and disable extensions to provision or deprovision users and map them to CRM, HR, or directory identities. Read and write. | Pub/Sub topics is specific to Google Cloud Platform and Extensions (Users) to RingCentral — each maps to any object or custom field on the other side. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Contacts (Address Book) Personal address-book contacts per extension with full CRUD via POST/PUT/DELETE /address-book/contact; the company directory has no create endpoint and is read-only, so only personal contacts are writable. Read and write. | Firestore documents is specific to Google Cloud Platform and Contacts (Address Book) to RingCentral — 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.
DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.
DeliveryEach detected change is written to RingCentral through its API, with automatic retries and rate-limit backoff.
DetectionRingCentral notifies Stacksync of record changes through webhook events. Subscription API webhooks (with a validation-token echo handshake) or WebSocket subscriptions on eventFilters such as message-store/instant,.
DeliveryEach detected change is applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–RingCentral connection.
Changes in Google Cloud Platform or RingCentral instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or RingCentral data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Platform or RingCentral record.
Track your Google Cloud Platform ⇄ RingCentral sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and RingCentral.
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 Google Cloud Platform and RingCentral 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 Google Cloud Platform and RingCentral 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 Google Cloud Platform and RingCentral: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's BigQuery datasets and BigQuery tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the RingCentral side: Presence, Subscriptions (Webhooks / WebSocket), Message Store (SMS / MMS / Fax / Voicemail), Call Log, plus custom fields where RingCentral exposes them. On the Google Cloud Platform side: Cloud Storage objects, Pub/Sub topics, Firestore documents, Spanner tables. 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 Google Cloud Platform and RingCentral: Activity joined with everything else; Where RingCentral accepts updates: operational write-back; Queryable history that outlives retention. Combine RingCentral's activity with the CRM, product, and support data already in Google Cloud Platform to attribute outcomes to the touches that drove them, which no single tool can do alone.
Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. RingCentral: REST API (RingEX Platform API) on platform.ringcentral.com, base path /restapi/v1.0, with resources under account/~/extension/~/ (message-store, call-log, sms, fax, ring-out, address-book, presence, subscription) plus the Configuration API for provisioning. Authentication: OAuth 2.0 - authorization code flow (with PKCE) for user-facing apps, and JWT bearer flow for server-to-server integrations; the legacy password (ROPC) grant was retired on March 31, 2024. Stacksync manages authentication, retries, and rate limits on both sides.
RingCentral: Webhooks are created only through the Subscription API: on creation RingCentral sends a validation token in an HTTP header that the endpoint must echo back, and subscriptions are scoped by eventFilters such as message-store/instant?type=SMS or presence?detailedTelephonyState=true. Google Cloud Platform: BigQuery is append-oriented: row mutations go through DML or the Storage Write API, and streamed rows pass through a buffer before some operations can touch them. Stacksync's field mapping accounts for these differences between Google Cloud Platform and RingCentral 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 443 integrations available for Google Cloud Platform and RingCentral.