Two-way sync
Changes in Render Postgres or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Keep Render Postgres and Salesforce in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Render Postgres, where it can be queried and joined like everything else.
Stacksync mirrors Contacts, Leads, Opportunities, Cases from Salesforce into Views, Materialized Views, Schemas, Columns and Types in Render Postgres with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Salesforce with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Field and stage updates in Salesforce arrive as row changes in Render Postgres, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Salesforce become tables in Render Postgres you can join with application data directly.
Signup, usage, or lifecycle changes written to Render Postgres sync onto the matching records in Salesforce, giving go-to-market teams live product context.
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.
| Render Postgres objects | Salesforce objects | How this pairing syncs | |
|---|---|---|---|
| Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. | Views is specific to Render Postgres and Opportunities to Salesforce — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Cases Support records; synced with help desk tools or internal databases for escalation workflows. | Materialized Views is specific to Render Postgres and Cases to Salesforce — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Campaigns Marketing membership data; read out for attribution analysis in the warehouse. | Schemas is specific to Render Postgres and Campaigns to Salesforce — each maps to any object or custom field on the other side. | |
| Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Tasks and Events Activity records; usually read-only in syncs to feed activity reporting. | Columns and Types is specific to Render Postgres and Tasks and Events to Salesforce — each maps to any object or custom field on the other side. | |
| Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Products and Price Books Catalog and pricing data; commonly mastered in an ERP and written into Salesforce. | Indexes and Constraints is specific to Render Postgres and Products and Price Books to Salesforce — each maps to any object or custom field on the other side. | |
| Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. | Tables is specific to Render Postgres and Custom Objects to Salesforce — 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 Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
DeliveryEach detected change is written to Salesforce through its API, with automatic retries and rate-limit backoff.
DetectionChanges in Salesforce are captured at the source via change data capture — no polling loop against its API. Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting).
DeliveryEach detected change is applied to Render Postgres as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Render Postgres–Salesforce connection.
Changes in Render Postgres or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Render Postgres or Salesforce data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Render Postgres or Salesforce record.
Track your Render Postgres ⇄ Salesforce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Render Postgres and Salesforce.
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 Render Postgres and Salesforce 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 Render Postgres and Salesforce 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 Render Postgres and Salesforce: authenticate both systems, choose the objects to sync (such as Render Postgres's Views and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Render Postgres and Salesforce records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Render Postgres and Salesforce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Render Postgres–Salesforce integration in-house.
Yes — Stacksync ships production-grade connectors for both Render Postgres and Salesforce. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Render Postgres: Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback. On Salesforce: Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Salesforce side: Contacts, Leads, Opportunities, Cases, plus custom fields where Salesforce exposes them. On the Render Postgres side: Views, Materialized Views, Schemas, Columns and Types. Stacksync auto-detects both schemas and converts types between the two systems.
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 447 integrations available for Render Postgres and Salesforce.