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Database ⇄ ERP

Postgres Heroku to SAP integration — real-time, two-way sync

Keep Postgres Heroku and SAP 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

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Migrated from Fivetran
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Why teams connect Postgres Heroku and SAP

Give your engineers SAP's data in Postgres Heroku: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors Production Orders, Inventory / Stock, Cost Centers, Business Partners from SAP into Postgres Heroku and keeps both sides consistent in real time. Whatever SAP is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Postgres Heroku sync back into SAP with its validations respected.

Common use cases

  • Expose CRM objects as Postgres tables the Heroku application can query and join directly
  • Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
  • Replicate journal entries and billing documents to a warehouse for finance analytics without loading the ERP.
  • Keep MES and WMS systems aligned with production orders and goods movements.

Where SAP is the HR system of record: people data for internal systems

Worker and org records stay current in Postgres Heroku for provisioning, access, and reporting systems that read from the database.

Controlled write-back

Choose exactly which tables and fields may flow from Postgres Heroku back into SAP, keeping the ERP authoritative.

Read ERP records with a query

Records from SAP live in Postgres Heroku as ordinary tables or collections, joinable with the rest of your data.

What you can sync between Postgres Heroku and SAP

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 SAP objects
Views Read-side projections exposed to outbound syncs. Outbound Deliveries Shipment documents synced to WMS, carriers, and customer portals.
Materialized Views Precomputed result sets synced outward on refresh. Billing Documents Invoices read for AR status and replicated for revenue reporting.
Schemas Namespaces that scope which tables a sync reads and writes. GL Accounts and Journal Entries Financial postings replicated to warehouses for group finance analytics.
Primary and Unique Keys Match keys for idempotent upserts from connected systems. Production Orders Manufacturing orders exchanged with MES and scheduling systems.
JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Inventory / Stock Plant and storage-location quantities synced to storefronts and planning tools.
Sequences Generate surrogate keys for rows created by inbound syncs. Cost Centers Controlling masters read for mapping costs in finance integrations.
What ships with Postgres Heroku ⇄ SAP

Connect Postgres Heroku and SAP for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–SAP connection.

Real-time

Two-way sync

Changes in Postgres Heroku or SAP instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Postgres Heroku or SAP 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 Postgres Heroku or SAP record.

Observability

Monitoring

Track your Postgres Heroku ⇄ SAP sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Postgres Heroku and SAP.

How the Postgres Heroku and SAP connectors work

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan

SAP

Integration surface
OData (v2/v4) APIs on S/4HANA; BAPI/RFC and IDoc on ECC and on-prem systems; SOAP services
Authentication
OAuth 2.0 or basic auth via communication arrangements on cloud editions; SAP user credentials for RFC on-prem
Change detection
Business events via SAP Event Mesh on S/4HANA; change pointers with IDocs or timestamp polling on ECC
Capabilities
read · write · webhooks
Rate limits
Throttling is configured at the gateway and tenant level rather than as a single published rate limit
How it works

How to connect Postgres Heroku to SAP — 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 Postgres Heroku and SAP 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
    Postgres Heroku connected
    SAP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Postgres Heroku and SAP 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 · Postgres Heroku ⇄ SAP
    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
    Postgres Heroku SAP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Postgres Heroku and SAP integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for Postgres Heroku and SAP.

Popular · 8 of 386
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