Real-time
Two-way sync
Changes in Klaviyo or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Data warehouse
Klaviyo to Snowflake integration — real-time, two-way sync
Keep Klaviyo 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
Case study
Migrated from Mulesoft
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Case study
Migrated from Celigo
Why teams connect Klaviyo and Snowflake
Get the data locked inside Klaviyo into Snowflake as live tables, and send results back where Klaviyo can use them, without writing a pipeline.
Whatever Klaviyo 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 Lists, Segments, Events, Metrics from Klaviyo 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 Klaviyo where the tool can use them.
Common use cases
- Sync customer profiles between Klaviyo and the CRM or warehouse so segments can use fields beyond storefront data
- Push offline, ERP, or subscription order events into Klaviyo as metrics to trigger post-purchase and win-back flows
- Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL
- Push product usage aggregates from Snowflake into sales and success tools for account prioritization
Cross-tool reporting
Combine Klaviyo's data with data from every other synced system to answer questions no single tool can.
Where Klaviyo accepts updates: operational write-back
Segments, scores, or reference values computed in Snowflake sync back onto records in Klaviyo, 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 Klaviyo or gets changed inside it.
What you can sync between Klaviyo 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.
| Klaviyo objects | Snowflake objects | |
|---|---|---|
| Segments Dynamic audiences are readable so other tools can mirror who qualifies. | Stages File staging areas used for bulk loads into synced tables. | |
| Events Timestamped behavioral records tied to metrics; external order and product events are pushed in to trigger flows. | Tasks Scheduled SQL used to transform synced data after it lands. | |
| Metrics Event type definitions organize the activity stream used in segmentation and attribution. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | |
| Campaigns Email and SMS sends expose performance data for warehouse-based reporting. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | |
| Flows Automation definitions and their engagement data sync outward for attribution. | Databases Top-level containers that scope which data a sync can touch. | |
| Templates Message templates are accessible via API for content management workflows. | Schemas Namespaces within a database used to organize synced tables. |
What ships with Klaviyo ⇄ Snowflake
Connect Klaviyo and Snowflake for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Klaviyo–Snowflake connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Klaviyo 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 Klaviyo or Snowflake record.
Observability
Monitoring
Track your Klaviyo ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Klaviyo and Snowflake.
How the Klaviyo and Snowflake connectors work
Klaviyo
- Integration surface
- REST API compliant with the JSON:API specification
- Authentication
- OAuth 2.0 for apps or private API keys
- Change detection
- Polling on updated timestamps; outbound webhooks exist for event topics (availability depends on plan or app-partner status) and as flow webhook actions
- Capabilities
- read · write · webhooks
- Rate limits
- Per-endpoint burst and steady rate limits apply
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 Klaviyo 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 Klaviyo 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.
Klaviyo
connected
Snowflake
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Klaviyo 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 · Klaviyo ⇄ 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.
Klaviyo SnowflakeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Klaviyo and Snowflake integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Klaviyo and Snowflake: authenticate both systems, choose the objects to sync (such as Klaviyo's Segments and Events), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Klaviyo 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 Klaviyo: Polling on updated timestamps; outbound webhooks exist for event topics (availability depends on plan or app-partner status) and as flow webhook actions. 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 Klaviyo side: Lists, Segments, Events, Metrics, plus custom fields where Klaviyo exposes them. On the Snowflake side: Schemas, Tables, Views, Materialized Views. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Klaviyo and Snowflake: Cross-tool reporting; Where Klaviyo accepts updates: operational write-back; History that outlives the tool. Combine Klaviyo's data with data from every other synced system to answer questions no single tool can.
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
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Klaviyo ⇄ Tinybird -
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