Two-way sync
Changes in AWS Aurora PostgreSQL or RingCentral instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora 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 AWS Aurora PostgreSQL next to everything else.
Stacksync mirrors Presence, Subscriptions (Webhooks / WebSocket), Message Store (SMS / MMS / Fax / Voicemail), Call Log from RingCentral into Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas in AWS Aurora 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.
Write a row to a synced table in AWS Aurora PostgreSQL and Stacksync propagates it into RingCentral, so your code sends the message, places the call, or schedules the meeting without integration glue.
Recipients and contacts stay consistent between RingCentral and AWS Aurora PostgreSQL, so a phone number or email corrected on either side is current the next time either system uses it.
Sends, replies, answered calls, or completed meetings arrive in AWS Aurora PostgreSQL as row changes, so triggers, jobs, and services can respond in near real time.
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.
| AWS Aurora PostgreSQL objects | RingCentral objects | How this pairing syncs | |
|---|---|---|---|
| Replication slots and publications The logical replication objects that power log-based CDC. | 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. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Contacts (Address Book) to RingCentral — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | 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. | Databases and schemas is specific to AWS Aurora PostgreSQL and RingOut (Click-to-call) to RingCentral — each maps to any object or custom field on the other side. | |
| Tables The core sync unit; rows are matched across systems by primary key. | 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. | Tables is specific to AWS Aurora PostgreSQL and Team Messaging (Chat) to RingCentral — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | 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. | Rows is specific to AWS Aurora PostgreSQL and Presence to RingCentral — each maps to any object or custom field on the other side. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | 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. | Columns is specific to AWS Aurora PostgreSQL and Subscriptions (Webhooks / WebSocket) to RingCentral — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | 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. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Message Store (SMS / MMS / Fax / Voicemail) 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 AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
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 AWS Aurora 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 AWS Aurora PostgreSQL–RingCentral connection.
Changes in AWS Aurora PostgreSQL or RingCentral instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora 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 AWS Aurora PostgreSQL or RingCentral record.
Track your AWS Aurora PostgreSQL ⇄ RingCentral sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora 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 AWS Aurora 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 AWS Aurora 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 AWS Aurora PostgreSQL and RingCentral: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Replication slots and publications and Databases and schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
RingCentral: Rate limits are enforced per user (extension) per 60 seconds by throttling group - Heavy 10, Medium 40, Light 50, Auth 5 - as customizable defaults; exceeding returns HTTP 429 with a Retry-After header and X-Rate-Limit-Group/Limit/Remaining/Window response headers. AWS Aurora PostgreSQL: PostgreSQL compatibility means JSONB, arrays, and custom types survive intact when syncing between Aurora and other Postgres-compatible stores. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and RingCentral without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means AWS Aurora PostgreSQL and RingCentral records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and RingCentral connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–RingCentral integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and RingCentral. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On RingCentral: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 356 integrations available for AWS Aurora PostgreSQL and RingCentral.