Real-time
Two-way sync
Changes in BigQuery or SAP instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
BigQuery to SAP integration — real-time, two-way sync
Keep BigQuery 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
Case study
Migrated from Mulesoft
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect BigQuery and SAP
Put SAP's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where SAP can use them.
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 BigQuery next to everything else the company measures.
Stacksync syncs Billing Documents, GL Accounts and Journal Entries, Production Orders, Inventory / Stock from SAP into tables in BigQuery continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in BigQuery can be written back to fields in SAP where that is useful.
Common use cases
- Feed ML feature tables in BigQuery from operational systems on a continuous schedule
- Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
- Keep MES and WMS systems aligned with production orders and goods movements.
- Expose sales order and delivery status to customer portals through a synced Postgres database instead of direct SAP access.
Where SAP runs operations: order and supply analysis
Operational records become queryable tables in BigQuery, joinable with sales and finance data.
Group reporting across systems
Combine SAP's records with data synced from other systems in BigQuery for consolidated views no single system can produce.
Write-back where SAP exposes writable fields
Classifications or reference values computed in BigQuery sync back onto the corresponding records in SAP.
What you can sync between BigQuery 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.
| BigQuery objects | SAP objects | |
|---|---|---|
| Datasets Organizational container — you pick which dataset’s tables to sync. | Outbound Deliveries Shipment documents synced to WMS, carriers, and customer portals. | |
| Projects Connection scope: the service account grants access per project. | Billing Documents Invoices read for AR status and replicated for revenue reporting. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | GL Accounts and Journal Entries Financial postings replicated to warehouses for group finance analytics. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Production Orders Manufacturing orders exchanged with MES and scheduling systems. | |
| Clustered tables Supported; clustering is transparent to the sync. | Inventory / Stock Plant and storage-location quantities synced to storefronts and planning tools. |
What ships with BigQuery ⇄ SAP
Connect BigQuery and SAP for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–SAP connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BigQuery 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 BigQuery or SAP record.
Observability
Monitoring
Track your BigQuery ⇄ SAP sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between BigQuery and SAP.
How the BigQuery and SAP connectors work
BigQuery
- Integration surface
- GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
- Authentication
- Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
- Change detection
- Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
- Capabilities
- read · write · CDC
- Rate limits
- Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
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 BigQuery 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.
- 01
Connect your apps
Authenticate BigQuery 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.
BigQuery
connected
SAP
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BigQuery 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.
objects · BigQuery ⇄ SAPCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
BigQuery SAPCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BigQuery and SAP integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and SAP: authenticate both systems, choose the objects to sync (such as BigQuery's Datasets and Projects), map fields visually, and changes propagate both ways in milliseconds — no code required.
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BigQuery: Views and materialized views are not supported — only tables. SAP: On ECC, writes go through BAPIs or IDocs so document flow and posting logic are enforced; direct writes to database tables are not a supported path. Stacksync's field mapping accounts for these differences between BigQuery and SAP without custom code.
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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 BigQuery and SAP records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed BigQuery and SAP connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BigQuery–SAP integration in-house.
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Yes — Stacksync ships production-grade connectors for both BigQuery and SAP. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on BigQuery: Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in. On SAP: Business events via SAP Event Mesh on S/4HANA; change pointers with IDocs or timestamp polling on ECC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 BigQuery and SAP.
Popular · 8 of 386
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BigQuery ⇄ Blue Yonder WMS -
BigQuery ⇄ Brightpearl -
BigQuery ⇄ Cetec ERP -
BigQuery ⇄ Cin7 -
SAP ⇄ Amazon Redshift -
SAP ⇄ Apache Doris -
SAP ⇄ Apache Druid -
SAP ⇄ Apache Hive
No integrations match .
