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Data warehouse ⇄ Communications

BigQuery to RingCentral integration — real-time, two-way sync

Keep BigQuery 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.

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Why teams connect BigQuery and RingCentral

Land the messages, calls, and events from RingCentral in BigQuery as live tables, and write results back, without building or maintaining a pipeline.

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 Contacts (Address Book), RingOut (Click-to-call), Team Messaging (Chat), Presence from RingCentral into tables in BigQuery in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in BigQuery — segments, contact updates, suppression flags — can be written back into fields in RingCentral wherever it exposes them, so analysis lands where outreach actually happens.

Common use cases

  • 01 Provision and deprovision Extensions from an HR system or IdP through the Configuration API so the user roster and assigned numbers stay current as people join or leave.
  • 02 Place RingOut click-to-dial calls from a CRM or internal app so reps dial contacts without leaving their workflow.
  • 03 Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • 04 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools

Common sync patterns

Queryable history that outlives retention

A continuously synced copy in BigQuery preserves messages, call logs, and events for reporting and audit even as they age out of RingCentral or get purged inside it.

Communications analytics without ETL

Messages, calls, and events from RingCentral arrive in BigQuery as queryable tables, current within seconds instead of a day behind.

Engagement and delivery on live data

Sends, opens, clicks, bounces, and call outcomes from RingCentral land in BigQuery as they happen, so deliverability and response monitoring stop lagging the reality they describe.

What you can sync between BigQuery and RingCentral

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.

BigQuery objects RingCentral objects How this pairing syncs
Projects Connection scope: the service account grants access per project. 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. Projects is specific to BigQuery and Call Log to RingCentral — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. 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. Tables is specific to BigQuery and Extensions (Users) to RingCentral — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. 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. Partitioned tables is specific to BigQuery and Contacts (Address Book) to RingCentral — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. RingOut (Click-to-call) Two-legged calls placed programmatically via POST /account/~/extension/~/ring-out, with status polled via GET and calls cancelled via DELETE; a write/action path for click-to-dial from a CRM or internal app. Write. Clustered tables is specific to BigQuery and RingOut (Click-to-call) to RingCentral — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Team Messaging (Chat) RingCentral team-messaging chats, teams, and posts (formerly Glip); read conversations and create posts, create teams, and add or remove members to mirror org structure. Read and write. Datasets is specific to BigQuery and Team Messaging (Chat) to RingCentral — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and RingCentral

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.

BigQuery RingCentral Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

DeliveryEach detected change is written to RingCentral through its API, with automatic retries and rate-limit backoff.

RingCentral BigQuery Sub-second propagation

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 BigQuery as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • RingCentral: Per-user (extension) throttling groups per 60 seconds - Heavy 10, Medium 40 (e.g. /sms), Light 50, Auth 5 - as customizable defaults; exceeding returns HTTP 429 with a Retry-After header and X-Rate-Limit-Group/Limit/Remaining/Window headers.
What ships with BigQuery ⇄ RingCentral

Connect BigQuery and RingCentral for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–RingCentral connection.

Real-time

Two-way sync

Changes in BigQuery or RingCentral instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or RingCentral 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 BigQuery or RingCentral record.

Observability

Monitoring

Track your BigQuery ⇄ RingCentral sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and RingCentral.

How the BigQuery and RingCentral connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

RingCentral

Integration surface
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
Change detection
Subscription API webhooks (with a validation-token echo handshake) or WebSocket subscriptions on eventFilters such as message-store/instant, presence, and telephony/sessions; historical pulls poll message-store and call-log on dateFrom/dateTo
Capabilities
read · write · webhooks
Rate limits
Per-user (extension) throttling groups per 60 seconds - Heavy 10, Medium 40 (e.g. /sms), Light 50, Auth 5 - as customizable defaults; exceeding returns HTTP 429 with a Retry-After header and X-Rate-Limit-Group/Limit/Remaining/Window headers
RingCentral setup guide
How it works

How to connect BigQuery to RingCentral — 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.

  1. 01

    Connect your apps

    Authenticate BigQuery 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    BigQuery connected
    RingCentral connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · BigQuery ⇄ RingCentral
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    BigQuery RingCentral
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and RingCentral integration FAQ

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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 446 integrations available for BigQuery and RingCentral.

Popular · 8 of 446
All BigQuery integrations All RingCentral integrations Browse all integrations
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