Real-time
Two-way sync
Changes in Kustomer or Snowflake instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Data warehouse
Kustomer to Snowflake integration — real-time, two-way sync
Keep Kustomer 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
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 Kustomer and Snowflake
Sync Kustomer into Snowflake continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Custom Objects (Klasses), Users, Teams, Tags from Kustomer land in Snowflake as live tables, updated within seconds, and columns computed in Snowflake write back to fields in Kustomer. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- Keep customer attributes updated from billing systems so routing rules and SLAs reflect account value
- Escalate conversation-derived signals into the CRM as tasks or opportunities
- Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on
- Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL
Scores and segments back on the record
Lead scores, churn risk, or usage segments computed in Snowflake appear as fields in Kustomer, where the people working accounts actually see them.
A single customer view
Join Kustomer's relationship data with billing, product, and support data in Snowflake to build the customer picture the CRM alone cannot hold.
Cleanup that sticks
Deduplication and normalization done in Snowflake can be written back, so warehouse-side cleanup actually fixes the CRM.
What you can sync between Kustomer 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.
| Kustomer objects | Snowflake objects | |
|---|---|---|
| Customers The central record whose timeline aggregates every interaction; external attributes sync onto it. | Schemas Namespaces within a database used to organize synced tables. | |
| Conversations Support threads across channels sync outward for analytics and CRM context. | Tables The main landing and activation target for synced records. | |
| Messages Individual messages within conversations support full-thread replication. | Views Modeled projections used as the source side of outbound syncs. | |
| Companies Organization records group customers and map to CRM accounts. | Materialized Views Precomputed results synced outward for low-latency reads. | |
| Custom Objects (Klasses) Structured external records such as orders and subscriptions synced in to appear on the customer timeline. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | |
| Users Agent records map conversation ownership to people in other systems. | Stages File staging areas used for bulk loads into synced tables. |
What ships with Kustomer ⇄ Snowflake
Connect Kustomer and Snowflake for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Kustomer–Snowflake connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Kustomer 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 Kustomer or Snowflake record.
Observability
Monitoring
Track your Kustomer ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Kustomer and Snowflake.
How the Kustomer and Snowflake connectors work
Kustomer
- Integration surface
- REST API
- Authentication
- API key used as a bearer token, scoped by role
- Change detection
- Outbound webhooks on record events, plus polling for backfill
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits
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 Kustomer 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 Kustomer 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.
Kustomer
connected
Snowflake
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Kustomer 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 · Kustomer ⇄ 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.
Kustomer SnowflakeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Kustomer and Snowflake integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Kustomer and Snowflake: authenticate both systems, choose the objects to sync (such as Kustomer's Customers and Conversations), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Kustomer and Snowflake: Scores and segments back on the record; A single customer view; Cleanup that sticks. Lead scores, churn risk, or usage segments computed in Snowflake appear as fields in Kustomer, where the people working accounts actually see them.
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Kustomer: REST API. Authentication: API key used as a bearer token, scoped by role. Snowflake: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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Kustomer: Custom object types are called Klasses, and they are the standard mechanism for landing external data like orders and subscriptions where agents work. Snowflake: External tables are not supported. Stacksync's field mapping accounts for these differences between Kustomer and Snowflake 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 Kustomer 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 Kustomer and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Kustomer–Snowflake integration in-house.
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 Kustomer and Snowflake.
Popular · 8 of 386
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Kustomer ⇄ Apache Pinot -
Kustomer ⇄ Azure Synapse Analytics -
Kustomer ⇄ ClickHouse -
Kustomer ⇄ Cloudera Data Platform -
Snowflake ⇄ Freshworks CRM -
Snowflake ⇄ Gladly -
Snowflake ⇄ Gorgias -
Snowflake ⇄ Infor CRM
No integrations match .
