Real-time
Two-way sync
Changes in BigQuery or Braze instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Business productivity
BigQuery to Braze integration — real-time, two-way sync
Keep BigQuery and Braze 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 BigQuery and Braze
Get the data locked inside Braze into BigQuery as live tables, and send results back where Braze can use them, without writing a pipeline.
Whatever Braze is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Subscription Groups, Content Blocks, Users, Custom Attributes from Braze into tables in BigQuery continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in BigQuery can also be written back into fields in Braze where the tool can use them.
Common use cases
- Keep subscription and consent states consistent between Braze subscription groups and the CRM or CDP of record.
- Export campaign and Canvas engagement data into a warehouse for cross-channel reporting.
- 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
Analytics on Braze's data
Records and events from Braze land in BigQuery as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Cross-tool reporting
Combine Braze's data with data from every other synced system to answer questions no single tool can.
Where Braze accepts updates: operational write-back
Segments, scores, or reference values computed in BigQuery sync back onto records in Braze, putting analysis where the work happens.
What you can sync between BigQuery and Braze
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 | Braze objects | |
|---|---|---|
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Purchases Transaction records logged against profiles for revenue-based targeting. | |
| Clustered tables Supported; clustering is transparent to the sync. | Segments Audience definitions read for membership export and campaign targeting. | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Campaigns Message sends whose metadata and analytics are read for reporting. | |
| Projects Connection scope: the service account grants access per project. | Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. |
What ships with BigQuery ⇄ Braze
Connect BigQuery and Braze for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Braze connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BigQuery or Braze 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 Braze record.
Observability
Monitoring
Track your BigQuery ⇄ Braze 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 Braze.
How the BigQuery and Braze 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
Braze
- Integration surface
- REST API
- Authentication
- REST API keys scoped to specific endpoints, issued per workspace
- Change detection
- Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling
- Capabilities
- read · write
- Rate limits
- Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request
How it works
How to connect BigQuery to Braze — 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 Braze 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
Braze
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BigQuery and Braze 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 ⇄ BrazeCustomers 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 BrazeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BigQuery and Braze integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and Braze: authenticate both systems, choose the objects to sync (such as BigQuery's Tables and Partitioned tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Braze 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 Braze connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BigQuery–Braze integration in-house.
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Yes — Stacksync ships production-grade connectors for both BigQuery and Braze. 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 Braze: Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Braze side: Subscription Groups, Content Blocks, Users, Custom Attributes, plus custom fields where Braze exposes them. On the BigQuery side: Partitioned tables, Clustered tables, Datasets, Projects. Stacksync auto-detects both schemas and converts types between the two systems.
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 Braze.
Popular · 8 of 386
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BigQuery ⇄ Slack -
BigQuery ⇄ Zendesk -
BigQuery ⇄ Campfire -
BigQuery ⇄ Front -
Braze ⇄ ClickHouse -
Braze ⇄ Cloudera Data Platform -
Braze ⇄ Dremio -
Braze ⇄ Exasol
No integrations match .
