Two-way sync
Changes in Salesforce or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Keep Salesforce 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.
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. Leads, Opportunities, Cases, Campaigns from Salesforce land in Snowflake as live tables, updated within seconds, and columns computed in Snowflake write back to fields in Salesforce. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Accounts, contacts, and activity from Salesforce are queryable in Snowflake moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Snowflake appear as fields in Salesforce, where the people working accounts actually see them.
Join Salesforce's relationship data with billing, product, and support data in Snowflake to build the customer picture the CRM alone cannot hold.
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.
| Salesforce objects | Snowflake objects | |
|---|---|---|
| Products and Price Books Catalog and pricing data; commonly mastered in an ERP and written into Salesforce. | Views Modeled projections used as the source side of outbound syncs. | |
| Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. | Materialized Views Precomputed results synced outward for low-latency reads. | |
| Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | |
| Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. | Stages File staging areas used for bulk loads into synced tables. | |
| Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. | Tasks Scheduled SQL used to transform synced data after it lands. | |
| Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Salesforce–Snowflake connection.
Changes in Salesforce or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Salesforce or Snowflake data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Salesforce or Snowflake record.
Track your Salesforce ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Salesforce and Snowflake.
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.
Authenticate Salesforce 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.
Pick the Salesforce 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Salesforce and Snowflake: authenticate both systems, choose the objects to sync (such as Salesforce's Products and Price Books and Custom Objects), map fields visually, and changes propagate both ways in milliseconds — no code required.
Salesforce: REST, SOAP, and Bulk APIs. Authentication: OAuth login via a Salesforce user (browser-based authorization flow); requires "API Enabled" permission for polling mode, plus "Author Apex" and "Customize Application" OR "Modify All Data" for trigger mode. 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.
Salesforce: Records are queried with SOQL, and every standard and custom object carries a SystemModstamp field that sync engines use to order incremental changes. Snowflake: Compute runs on virtual warehouses that are billed and scaled separately from storage, so sync workloads can be isolated on their own warehouse. Stacksync's field mapping accounts for these differences between Salesforce and Snowflake without custom code.
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 Salesforce and Snowflake records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Salesforce and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Salesforce–Snowflake integration in-house.
Yes — Stacksync ships production-grade connectors for both Salesforce and Snowflake. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Salesforce and Snowflake.