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Data warehouse

Connect Snowflake to any app with two-way sync.

Two-way sync Snowflake across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes
Setup guide: how Stacksync connects to Snowflake

Adopted by fast-scaling companies moving mission-critical data in real time

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Object catalog

What Stacksync syncs in Snowflake.

These objects sync between Snowflake and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Snowflake exposes them.

Databases
Top-level containers that scope which data a sync can touch.
Schemas
Namespaces within a database used to organize synced tables.
Tables
The main landing and activation target for synced records.
Views
Modeled projections used as the source side of outbound syncs.
Materialized Views
Precomputed results synced outward for low-latency reads.
Streams
Row-level change records on a table, consumed to process deltas instead of full scans.
Stages
File staging areas used for bulk loads into synced tables.
Tasks
Scheduled SQL used to transform synced data after it lands.
VARIANT Columns
Semi-structured JSON payloads stored alongside relational columns.
Virtual Warehouses
The compute a sync's queries run on, sized independently of storage.
API surface

How Stacksync connects to Snowflake.

The connector runs on Snowflake's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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
Rate limits
No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Supported
  • Webhooks Not available
Snowflake connector documentation
What ships with Snowflake

Connect Snowflake for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every connection.

Real-time

Two-way sync

Changes in Snowflake instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever 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 Snowflake record.

Observability

Monitoring

Track your Snowflake sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Snowflake connector.

Analytics engineering, data engineering, and BI teams make Snowflake the analytical center of the stack: a cloud data warehouse for storing, analyzing, and sharing data securely across multiple clouds. Data from operational systems lands there for modeling, which gives it strong gravity for reporting; RevOps teams increasingly also need warehouse-computed attributes pushed back into operational tools, which is what a two-way connector serves.

  • Analytics engineering
  • Data engineering
  • RevOps
  • BI teams

  1. Land CRM and ERP records in Snowflake continuously so BI reflects business systems without nightly batch ETL

  2. Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on

  3. Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL

  4. Push product usage aggregates from Snowflake into sales and success tools for account prioritization

  5. Feed finance reconciliation models from ERP data landed in Snowflake on a continuous basis

  6. Continuously load CRM and application data into Snowflake Tables and Schemas so models and dashboards run on current data instead of nightly batches.

All Snowflake integrations

Pick the system you need to keep in sync with Snowflake. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 46

ERP · 43

Database · 50

Data warehouse · 29

Business productivity · 41

Accounting and finance · 17

How it works

Set up Snowflake in minutes, without APIs.

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.

  1. 01

    Connect your apps

    Authenticate Snowflake with its native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Snowflake connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Snowflake objects to sync — Stacksync auto-detects the schema, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Snowflake
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Snowflake database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Snowflake connector FAQ

What can I sync with the Snowflake connector?

Snowflake's core objects — Databases, Schemas, Tables, Views and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to Snowflake?

Via SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API, authenticated with 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. Changes are detected as follows — not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Snowflake connector two-way?

Yes. Changes made in Snowflake propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does a Snowflake integration take to set up?

Most Snowflake integrations go live in minutes: authenticate Snowflake and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Snowflake data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Snowflake data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

SECURITY

Security teams trust 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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more
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