Real-time
Two-way sync
Changes in Anaplan or BigQuery instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Data warehouse
Anaplan to BigQuery integration — real-time, two-way sync
Keep Anaplan and BigQuery 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
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Anaplan and BigQuery
Land the financial records from Anaplan in BigQuery continuously, and write results back, without building or maintaining a pipeline.
Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.
Stacksync syncs Modules, Line Items, Lists, List Items from Anaplan into tables in BigQuery in real time, and the connection works in both directions: values computed in BigQuery can be written back to fields in Anaplan where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.
Common use cases
- Keep dimension lists (products, cost centers, territories) aligned with master data systems of record.
- Export forecast versions to a warehouse for variance reporting against actuals.
- Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
- Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
Queryable history for audit and reconciliation
A continuously synced copy in BigQuery gives you a durable, queryable record of financial data for month-end and audit questions.
Finance analytics without ETL
Invoices, payments, and customer records from Anaplan arrive in BigQuery as queryable tables, current within seconds instead of a day behind.
Revenue joined with everything else
Analysts combine Anaplan's financial records with product, marketing, or operational data already in BigQuery for reporting the finance system cannot do alone.
What you can sync between Anaplan and BigQuery
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.
| Anaplan objects | BigQuery objects | |
|---|---|---|
| Versions Scenario dimensions (actual, budget, forecast) that scope which slice a sync reads or writes. | Partitioned tables Synced like regular tables; partition columns map to target fields. | |
| Import and Export Actions Predefined data-movement definitions the Bulk API executes. | Clustered tables Supported; clustering is transparent to the sync. | |
| Processes Ordered bundles of actions run as a unit during scheduled syncs. | Datasets Organizational container — you pick which dataset’s tables to sync. | |
| Cell Data Individual intersections readable and writable through the transactional API. | Projects Connection scope: the service account grants access per project. | |
| Models The planning workspaces that contain all data; syncs target a specific model. | Tables The syncable unit: only tables can be synced per the Stacksync docs. |
What ships with Anaplan ⇄ BigQuery
Connect Anaplan and BigQuery for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–BigQuery connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Anaplan or BigQuery 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 Anaplan or BigQuery record.
Observability
Monitoring
Track your Anaplan ⇄ BigQuery sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Anaplan and BigQuery.
How the Anaplan and BigQuery connectors work
Anaplan
- Integration surface
- REST APIs: a Bulk API that runs predefined import/export actions and a transactional API for model metadata and cell data
- Authentication
- Token-based sessions obtained via basic authentication, CA certificates, or OAuth 2.0 through Anaplan's authentication service
- Change detection
- Polling and scheduled export actions; the platform does not expose change events
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits; large data movements are designed to run through bulk actions
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
How it works
How to connect Anaplan to BigQuery — 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 Anaplan and BigQuery with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Anaplan
connected
BigQuery
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Anaplan and BigQuery 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 · Anaplan ⇄ BigQueryCustomers 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.
Anaplan BigQueryCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Anaplan and BigQuery integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Anaplan and BigQuery: authenticate both systems, choose the objects to sync (such as Anaplan's Versions and Import and Export Actions), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both Anaplan and BigQuery. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Anaplan: Polling and scheduled export actions; the platform does not expose change events. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Anaplan side: Modules, Line Items, Lists, List Items, plus custom fields where Anaplan exposes them. On the BigQuery side: Projects, Tables, Partitioned tables, Clustered 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 Anaplan and BigQuery: Queryable history for audit and reconciliation; Finance analytics without ETL; Revenue joined with everything else. A continuously synced copy in BigQuery gives you a durable, queryable record of financial data for month-end and audit questions.
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 Anaplan and BigQuery.
Popular · 8 of 386
-
Anaplan ⇄ Tinybird -
Anaplan ⇄ Vertica -
Anaplan ⇄ Yellowbrick -
Anaplan ⇄ Snowflake -
BigQuery ⇄ QuickBooks -
BigQuery ⇄ Stripe -
BigQuery ⇄ Rillet -
BigQuery ⇄ Workday
No integrations match .
