Two-way sync
Changes in PostgreSQL or RingCentral instantly reflect in both systems. No stale data, no manual imports.
Keep PostgreSQL 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.
Engineers reach communications tools like RingCentral through APIs, which means auth tokens, webhooks, delivery callbacks, and rate limits, all maintained forever and all shaped differently for every tool. The data those tools produce, who was contacted, what was sent, and what came back, would be simple to use if it lived in PostgreSQL next to everything else.
Stacksync mirrors Subscriptions (Webhooks / WebSocket), Message Store (SMS / MMS / Fax / Voicemail), Call Log, Extensions (Users) from RingCentral into Tables, Views, Materialized Views, Schemas in PostgreSQL and keeps both sides in sync in real time. Communication activity lands in the database as ordinary rows you can query and join, and rows your code writes, such as a queued outbound message or an updated contact, flow back into RingCentral so the tool and the database never disagree.
There is no webhook endpoint to host, no rate limit to babysit, and no nightly export that leaves your services reading yesterday's activity.
Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.
Every message, call, or event RingCentral records becomes rows in PostgreSQL, ready to query, join with your own data, and report on without touching the vendor API.
Write a row to a synced table in PostgreSQL and Stacksync propagates it into RingCentral, so your code sends the message, places the call, or schedules the meeting without integration glue.
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.
| PostgreSQL objects | RingCentral objects | How this pairing syncs | |
|---|---|---|---|
| JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | 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. | JSONB Columns is specific to PostgreSQL and Call Log to RingCentral — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | 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. | Sequences is specific to PostgreSQL and Extensions (Users) to RingCentral — each maps to any object or custom field on the other side. | |
| Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist 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. | Custom Types and Enums is specific to PostgreSQL and Contacts (Address Book) to RingCentral — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | 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. | Tables is specific to PostgreSQL and RingOut (Click-to-call) to RingCentral — each maps to any object or custom field on the other side. | |
| Views Read-side projections used to expose joined or filtered data to a 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. | Views is specific to PostgreSQL and Team Messaging (Chat) to RingCentral — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets synced outward on a refresh schedule. | 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. | Materialized Views is specific to PostgreSQL and Presence 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.
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
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 PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PostgreSQL–RingCentral connection.
Changes in PostgreSQL or RingCentral instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever PostgreSQL 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 PostgreSQL or RingCentral record.
Track your PostgreSQL ⇄ RingCentral sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between PostgreSQL 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL and RingCentral: authenticate both systems, choose the objects to sync (such as PostgreSQL's JSONB Columns and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the RingCentral side: Subscriptions (Webhooks / WebSocket), Message Store (SMS / MMS / Fax / Voicemail), Call Log, Extensions (Users), plus custom fields where RingCentral exposes them. On the PostgreSQL side: Tables, Views, Materialized Views, Schemas. 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 PostgreSQL and RingCentral: One integration pattern for every channel; Communication history as database rows; Trigger outbound communication from the database. Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.
PostgreSQL: SQL wire protocol (PostgreSQL frontend/backend protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user. 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: Only personal address-book contacts are writable via the API; the company directory has no create endpoint, so contact writes are scoped to each extension's personal address book. PostgreSQL: Composite primary keys are not supported; a single auto-generated primary key column is required. Stacksync's field mapping accounts for these differences between PostgreSQL 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 449 integrations available for PostgreSQL and RingCentral.