Two-way sync
Changes in Postgres Heroku or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Keep Postgres Heroku 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 Postgres Heroku, where it can be queried and joined like everything else.
Stacksync mirrors Products and Price Books, Custom Objects, Accounts, Contacts from Salesforce into JSONB Columns, Sequences, Follower Databases, Tables in Postgres Heroku 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.
Back-office apps read and write the synced tables; Stacksync handles the Salesforce API, limits, and retries.
Field and stage updates in Salesforce arrive as row changes in Postgres Heroku, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Salesforce become tables in Postgres Heroku you can join with application data directly.
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.
| Postgres Heroku objects | Salesforce objects | |
|---|---|---|
| JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. | |
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. | |
| Tables Standard Postgres tables; the primary two-way sync target for app data. | Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. | |
| Views Read-side projections exposed to outbound syncs. | Cases Support records; synced with help desk tools or internal databases for escalation workflows. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Campaigns Marketing membership data; read out for attribution analysis in the warehouse. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Salesforce connection.
Changes in Postgres Heroku or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or Salesforce record.
Track your Postgres Heroku ⇄ Salesforce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Postgres Heroku 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 Postgres Heroku 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 Postgres Heroku 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 Postgres Heroku and Salesforce: authenticate both systems, choose the objects to sync (such as Postgres Heroku's JSONB Columns and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. 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: Products and Price Books, Custom Objects, Accounts, Contacts, plus custom fields where Salesforce exposes them. On the Postgres Heroku side: JSONB Columns, Sequences, Follower Databases, Tables. 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 Postgres Heroku and Salesforce: Internal tools without API code; Trigger workflows from CRM changes; Query the CRM like a database. Back-office apps read and write the synced tables; Stacksync handles the Salesforce API, limits, and retries.
Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Salesforce: REST, SOAP, and Bulk APIs. Authentication: OAuth login via a Salesforce user (browser-based authorization flow); requires "API Enabled" permission for polling mode, plus "Author Apex" and "Customize Application" OR "Modify All Data" for trigger mode. Stacksync manages authentication, retries, and rate limits on both sides.
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 386 integrations available for Postgres Heroku and Salesforce.