Real-time
Two-way sync
Changes in Snowflake or Twenty CRM instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
Snowflake to Twenty CRM integration — real-time, two-way sync
Keep Snowflake and Twenty CRM in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Snowflake and Twenty CRM
Sync Twenty CRM 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. Attachments, Workspace Members, People, Companies from Twenty CRM land in Snowflake as live tables, updated within seconds, and columns computed in Snowflake write back to fields in Twenty CRM. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- 01 Push product usage or billing data from a warehouse into Twenty custom fields to give reps account context.
- 02 Sync Opportunities into a finance system to keep revenue forecasts current.
- 03 Land CRM and ERP records in Snowflake continuously so BI reflects business systems without nightly batch ETL
- 04 Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on
Common sync patterns
Scores and segments back on the record
Lead scores, churn risk, or usage segments computed in Snowflake appear as fields in Twenty CRM, where the people working accounts actually see them.
A single customer view
Join Twenty CRM'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 Snowflake and Twenty CRM
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.
| Snowflake objects | Twenty CRM objects | How this pairing syncs | |
|---|---|---|---|
| Tasks Scheduled SQL used to transform synced data after it lands. | Tasks To-dos linked to people, companies, or deals. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | Attachments Files linked to records. | VARIANT Columns is specific to Snowflake and Attachments to Twenty CRM — each maps to any object or custom field on the other side. | |
| Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | Workspace Members User accounts used for record ownership and assignment mapping. | Virtual Warehouses is specific to Snowflake and Workspace Members to Twenty CRM — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope which data a sync can touch. | People Individual contact records with emails, phones, and company links; a core target for contact syncs. | Databases is specific to Snowflake and People to Twenty CRM — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to organize synced tables. | Companies Account-level records that group people and opportunities. | Schemas is specific to Snowflake and Companies to Twenty CRM — each maps to any object or custom field on the other side. | |
| Tables The main landing and activation target for synced records. | Opportunities Deal records tracked through pipeline stages, synced for forecasting. | Tables is specific to Snowflake and Opportunities to Twenty CRM — each maps to any object or custom field on the other side. |
How changes propagate between Snowflake and Twenty CRM
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Snowflake Twenty CRM Sub-second propagation
DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.
DeliveryEach detected change is written to Twenty CRM through its API, with automatic retries and rate-limit backoff.
Twenty CRM Snowflake Sub-second propagation
DetectionTwenty CRM notifies Stacksync of record changes through webhook events. Webhooks on record create, update, and delete events, or polling on record update timestamps.
DeliveryEach detected change is applied to Snowflake as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
- Twenty CRM: Subject to the platform's API rate limits; self-hosted deployments control their own limits.
What ships with Snowflake ⇄ Twenty CRM
Connect Snowflake and Twenty CRM for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Snowflake–Twenty CRM connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Snowflake or Twenty CRM 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 or Twenty CRM record.
Observability
Monitoring
Track your Snowflake ⇄ Twenty CRM sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Snowflake and Twenty CRM.
How the Snowflake and Twenty CRM connectors work
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
Twenty CRM
- Integration surface
- GraphQL and REST APIs
- Authentication
- API key
- Change detection
- Webhooks on record create, update, and delete events, or polling on record update timestamps
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits; self-hosted deployments control their own limits.
How it works
How to connect Snowflake to Twenty CRM — 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 Snowflake and Twenty CRM with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Snowflake
connected
Twenty CRM
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Snowflake and Twenty CRM 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 · Snowflake ⇄ Twenty CRMCustomers 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.
Snowflake Twenty CRMCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Snowflake and Twenty CRM integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Snowflake and Twenty CRM: authenticate both systems, choose the objects to sync (such as Snowflake's Tasks and VARIANT Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Twenty CRM side: Attachments, Workspace Members, People, Companies, plus custom fields where Twenty CRM exposes them. On the Snowflake side: Tables, Views, Materialized Views, Streams. 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.
-
Common patterns for Snowflake and Twenty CRM: 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 Twenty CRM, where the people working accounts actually see them.
-
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. Twenty CRM: GraphQL and REST APIs. Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
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Twenty CRM: Both GraphQL and REST APIs are generated from the workspace's object schema, so custom objects get the same API surface as standard ones. Snowflake: Streams expose row-level change records on a table, so downstream consumers can process only deltas rather than rescanning full tables. Stacksync's field mapping accounts for these differences between Snowflake and Twenty CRM without custom code.
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.
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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