Skip to content
Data warehouse ⇄ Communications

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

Keep Materialize 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.

  • 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Materialize and RingCentral

Land the messages, calls, and events from RingCentral in Materialize 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 Extensions (Users), Contacts (Address Book), RingOut (Click-to-call), Team Messaging (Chat) from RingCentral into tables in Materialize in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Materialize — 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 Two-way sync personal Address Book contacts so a rep's RingCentral contacts match the CRM and new CRM contacts appear in RingCentral.
  • 02 Sync Message Store SMS, MMS, and fax records into Postgres or a warehouse so support and compliance can search conversation history alongside CRM records.
  • 03 Read computed view results back into a CRM or application database as derived fields.
  • 04 Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.

Common sync patterns

Queryable history that outlives retention

A continuously synced copy in Materialize 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 Materialize 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 Materialize as they happen, so deliverability and response monitoring stop lagging the reality they describe.

What you can sync between Materialize 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.

Materialize objects RingCentral objects How this pairing syncs
Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. 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. Tables is specific to Materialize and Message Store (SMS / MMS / Fax / Voicemail) to RingCentral — each maps to any object or custom field on the other side.
Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. 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. Sources is specific to Materialize and Call Log to RingCentral — each maps to any object or custom field on the other side.
Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. 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. Materialized Views is specific to Materialize and Extensions (Users) to RingCentral — each maps to any object or custom field on the other side.
Sinks Outbound connections that emit view changes to Kafka topics. 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. Sinks is specific to Materialize and Contacts (Address Book) to RingCentral — each maps to any object or custom field on the other side.
Indexes In-memory arrangements that make view reads fast for serving workloads. 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. Indexes is specific to Materialize and RingOut (Click-to-call) to RingCentral — each maps to any object or custom field on the other side.
Clusters Compute pools that isolate ingestion, view maintenance, and serving. 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. Clusters is specific to Materialize and Team Messaging (Chat) to RingCentral — each maps to any object or custom field on the other side.

How changes propagate between Materialize 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.

Materialize RingCentral Sub-second propagation

DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.

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

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

Rate-limit considerations

  • 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 Materialize ⇄ RingCentral

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Materialize 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 Materialize or RingCentral record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Materialize and RingCentral connectors work

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC

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

    Choose tables

    Pick the Materialize 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 · Materialize ⇄ 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
    Materialize RingCentral
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Materialize 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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:

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 341 integrations available for Materialize and RingCentral.

Popular · 7 of 341
All Materialize integrations All RingCentral integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own