Two-way sync
Changes in Ramp or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Keep Ramp 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.
Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.
Stacksync syncs Funds (Spend Controls), General Ledger Accounts, Transactions, Cards from Ramp into tables in Snowflake in real time, and the connection works in both directions: values computed in Snowflake can be written back to fields in Ramp where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.
Scores or segments computed in Snowflake, like payment-risk flags or customer tiers, sync back onto records in Ramp where the finance team can act on them.
A continuously synced copy in Snowflake gives you a durable, queryable record of financial data for month-end and audit questions.
Invoices, payments, and customer records from Ramp arrive in Snowflake as queryable tables, current within seconds instead of a day behind.
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.
| Ramp objects | Snowflake objects | How this pairing syncs | |
|---|---|---|---|
| General Ledger Accounts Chart-of-accounts entries uploaded from the ERP; accounting codings are posted back against transactions and bills. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | General Ledger Accounts is specific to Ramp and Streams to Snowflake — each maps to any object or custom field on the other side. | |
| Transactions Card purchase records with merchant, amount, and state; read for spend/GL sync and written back via accounting codings and sync status. | Stages File staging areas used for bulk loads into synced tables. | Transactions is specific to Ramp and Stages to Snowflake — each maps to any object or custom field on the other side. | |
| Cards Physical and virtual card records; created and managed through the API to provision or suspend cardholder spend. | Tasks Scheduled SQL used to transform synced data after it lands. | Cards is specific to Ramp and Tasks to Snowflake — each maps to any object or custom field on the other side. | |
| Users Employee and cardholder records; invited, updated, and deactivated, commonly synced from an HRIS or identity provider. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | Users is specific to Ramp and VARIANT Columns to Snowflake — each maps to any object or custom field on the other side. | |
| Departments Org groupings for cost-center and GL allocation; pushed from an ERP/HRIS and referenced by cards and transactions. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | Departments is specific to Ramp and Virtual Warehouses to Snowflake — each maps to any object or custom field on the other side. | |
| Reimbursements Out-of-pocket expense claims; read for reporting and marked ready-to-sync then synced to the ERP. | Databases Top-level containers that scope which data a sync can touch. | Reimbursements is specific to Ramp and Databases to Snowflake — each maps to any object or custom field on the other side. |
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.
DetectionRamp notifies Stacksync of record changes through webhook events. Signed webhooks (HMAC-SHA256 X-Ramp-Signature) for bill, transaction, reimbursement, vendor, and user events.
DeliveryEach detected change is applied to Snowflake as a row-level write, with types converted between the two schemas.
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 Ramp through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Ramp–Snowflake connection.
Changes in Ramp or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Ramp 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 Ramp or Snowflake record.
Track your Ramp ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Ramp 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 Ramp 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 Ramp 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 Ramp and Snowflake: authenticate both systems, choose the objects to sync (such as Ramp's General Ledger Accounts and Transactions), map fields visually, and changes propagate both ways in milliseconds — no code required.
Ramp: REST API (Developer API v1). Authentication: OAuth 2.0: exchange client_id/client_secret (HTTP Basic) at api.ramp.com/developer/v1/token for scoped bearer tokens; client_credentials grant for server-to-server and authorization_code for user-delegated access; scopes follow resource:permission (e.g. transactions:read, bills:write, accounting:write). 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.
Ramp: Accounting is push-based: partners upload GL accounts and field options, post codings, then post ready-to-sync and sync status — Ramp does not pull from the ERP. 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 Ramp 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 Ramp and Snowflake records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Ramp and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Ramp–Snowflake integration in-house.
Yes — Stacksync ships production-grade connectors for both Ramp 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 542 integrations available for Ramp and Snowflake.