Real-time
Two-way sync
Changes in Braze or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Data warehouse
Braze to Snowflake integration — real-time, two-way sync
Keep Braze and Snowflake 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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Migrated from Celigo
Why teams connect Braze and Snowflake
Get the data locked inside Braze into Snowflake 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 Content Blocks, Users, Custom Attributes, Custom Events from Braze into tables in Snowflake continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Snowflake can also be written back into fields in Braze where the tool can use them.
Common use cases
- Push product usage events from a database or warehouse into Braze to trigger onboarding and retention journeys.
- Keep subscription and consent states consistent between Braze subscription groups and the CRM or CDP of record.
- Push product usage aggregates from Snowflake into sales and success tools for account prioritization
- Feed finance reconciliation models from ERP data landed in Snowflake on a continuous basis
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 Snowflake sync back onto records in Braze, putting analysis where the work happens.
History that outlives the tool
A continuously synced copy in Snowflake preserves a queryable record even as data ages out of Braze or gets changed inside it.
What you can sync between Braze and Snowflake
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.
| Braze objects | Snowflake objects | |
|---|---|---|
| Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. | Materialized Views Precomputed results synced outward for low-latency reads. | |
| Purchases Transaction records logged against profiles for revenue-based targeting. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | |
| Segments Audience definitions read for membership export and campaign targeting. | Stages File staging areas used for bulk loads into synced tables. | |
| Campaigns Message sends whose metadata and analytics are read for reporting. | Tasks Scheduled SQL used to transform synced data after it lands. | |
| Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | |
| Subscription Groups Channel-level opt-in states synced with consent records in other systems. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. |
What ships with Braze ⇄ Snowflake
Connect Braze and Snowflake for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Braze–Snowflake connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Braze or Snowflake 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 Braze or Snowflake record.
Observability
Monitoring
Track your Braze ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Braze and Snowflake.
How the Braze and Snowflake connectors work
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
Snowflake
- Integration surface
- SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
- Authentication
- Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
- Change detection
- Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
- Capabilities
- read · write · CDC
- Rate limits
- No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
How it works
How to connect Braze to Snowflake — 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 Braze and Snowflake with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Braze
connected
Snowflake
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Braze and Snowflake 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 · Braze ⇄ SnowflakeCustomers 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.
Braze SnowflakeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Braze and Snowflake integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Braze and Snowflake: authenticate both systems, choose the objects to sync (such as Braze's Custom Events and Purchases), 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 Braze and Snowflake 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 Braze and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Braze–Snowflake integration in-house.
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Yes — Stacksync ships production-grade connectors for both Braze and Snowflake. 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 Braze: Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling. On Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. 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: Content Blocks, Users, Custom Attributes, Custom Events, plus custom fields where Braze exposes them. On the Snowflake side: Materialized Views, Streams, Stages, Tasks. 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 Braze and Snowflake.
Popular · 8 of 386
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Braze ⇄ IBM Netezza -
Braze ⇄ Materialize -
Braze ⇄ Rockset -
Braze ⇄ Starburst Enterprise -
Snowflake ⇄ Microsoft Dynamics 365 -
Snowflake ⇄ Microsoft Teams -
Snowflake ⇄ NextGen Healthcare -
Snowflake ⇄ Orderful
No integrations match .
