Two-way sync
Changes in Google Cloud Platform or SAP instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform 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.
ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether SAP carries financials, operations, workforce data, or all three, the analysis belongs in Google Cloud Platform next to everything else the company measures.
Stacksync syncs Materials (Products), Sales Orders, Purchase Orders, Outbound Deliveries from SAP into tables in Google Cloud Platform continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Google Cloud Platform can be written back to fields in SAP where that is useful.
Financial records land in Google Cloud Platform as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Google Cloud Platform for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Google Cloud Platform, joinable with sales and finance data.
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.
| Google Cloud Platform objects | SAP objects | |
|---|---|---|
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Production Orders Manufacturing orders exchanged with MES and scheduling systems. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Inventory / Stock Plant and storage-location quantities synced to storefronts and planning tools. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Cost Centers Controlling masters read for mapping costs in finance integrations. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Business Partners The unified customer and supplier master in S/4HANA, the anchor object for CRM and procurement syncs. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Materials (Products) Item master with plant and sales views, synced to commerce, PLM, and CRM systems. | |
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Sales Orders Order documents written from external channels and read for status and fulfillment. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–SAP connection.
Changes in Google Cloud Platform or SAP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or SAP data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Platform or SAP record.
Track your Google Cloud Platform ⇄ SAP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and SAP.
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 Google Cloud Platform 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.
Pick the Google Cloud Platform 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.
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 Google Cloud Platform and SAP: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's BigQuery tables and Cloud SQL databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Google Cloud Platform side: Spanner tables, BigQuery datasets, BigQuery tables, Cloud SQL databases, plus custom fields where Google Cloud Platform exposes them. On the SAP side: Materials (Products), Sales Orders, Purchase Orders, Outbound Deliveries. 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 Google Cloud Platform and SAP: Where SAP holds the books: finance reporting from live data; Where SAP is the HR system of record: workforce analytics; Where SAP runs operations: order and supply analysis. Financial records land in Google Cloud Platform as they change, so period-end reporting queries current numbers rather than last night's extract.
Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. SAP: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Google Cloud Platform: BigQuery is append-oriented: row mutations go through DML or the Storage Write API, and streamed rows pass through a buffer before some operations can touch them. SAP: S/4HANA's Business Partner model unifies the legacy customer and vendor masters into one object, so integrations map both roles to a single record. Stacksync's field mapping accounts for these differences between Google Cloud Platform and SAP without custom code.
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 Google Cloud Platform and SAP.