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Database ⇄ CRM

AWS Aurora PostgreSQL to SAP Sales Cloud integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL and SAP Sales Cloud 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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Why teams connect AWS Aurora PostgreSQL and SAP Sales Cloud

Treat SAP Sales Cloud like part of your database: its records live in AWS Aurora PostgreSQL as real tables, and writes in either place sync to the other in seconds.

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 AWS Aurora PostgreSQL, where it can be queried and joined like everything else.

Stacksync mirrors Products, Service Tickets, Accounts, Contacts from SAP Sales Cloud into Primary keys and constraints, Views and materialized views, Foreign keys, Replication slots and publications in AWS Aurora PostgreSQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in SAP Sales Cloud 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.

Common use cases

  • Write leads captured in web forms or enrichment pipelines directly into the CRM.
  • Bi-directional account and contact sync between SAP Sales Cloud and S/4HANA or a Postgres MDM layer so front and back office share one customer master.
  • Feed operational dashboards from a read replica while the writer handles sync traffic.
  • Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the SAP Sales Cloud API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in SAP Sales Cloud arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from SAP Sales Cloud become tables in AWS Aurora PostgreSQL you can join with application data directly.

What you can sync between AWS Aurora PostgreSQL and SAP Sales Cloud

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 SAP Sales Cloud objects
Tables The core sync unit; rows are matched across systems by primary key. Sales Orders Order records exchanged with S/4HANA or ECC in lead-to-cash flows.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Activities Appointments, tasks, and calls exported for engagement reporting.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Products Sellable item records typically mastered in the ERP and synced in.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Service Tickets Service requests synced with support tools where service scope is used.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Accounts Corporate customer records synced with ERP business partners and marketing tools.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Contacts Person records linked to accounts, synced with marketing automation and enrichment sources.
What ships with AWS Aurora PostgreSQL ⇄ SAP Sales Cloud

Connect AWS Aurora PostgreSQL and SAP Sales Cloud for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–SAP Sales Cloud connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or SAP Sales Cloud instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or SAP Sales Cloud 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 AWS Aurora PostgreSQL or SAP Sales Cloud record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ SAP Sales Cloud sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and SAP Sales Cloud.

How the AWS Aurora PostgreSQL and SAP Sales Cloud connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

SAP Sales Cloud

Integration surface
OData API (v2) plus SOAP web services
Authentication
Basic auth or OAuth 2.0 (SAML bearer assertion)
Change detection
Polling on last-changed timestamps; event notifications can push change signals to an external endpoint
Capabilities
read · write · webhooks
How it works

How to connect AWS Aurora PostgreSQL to SAP Sales Cloud — 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 AWS Aurora PostgreSQL and SAP Sales Cloud 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
    AWS Aurora PostgreSQL connected
    SAP Sales Cloud connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and SAP Sales Cloud 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 · AWS Aurora PostgreSQL ⇄ SAP Sales Cloud
    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
    AWS Aurora PostgreSQL SAP Sales Cloud
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

AWS Aurora PostgreSQL and SAP Sales Cloud 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora PostgreSQL and SAP Sales Cloud.

Popular · 8 of 386
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