Two-way sync
Changes in Google Cloud Platform or Ramp instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and Ramp 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 Bills, Vendors, Funds (Spend Controls), General Ledger Accounts from Ramp into tables in Google Cloud Platform in real time, and the connection works in both directions: values computed in Google Cloud Platform 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.
A continuously synced copy in Google Cloud Platform gives you a durable, queryable record of financial data for month-end and audit questions.
Invoices, payments, and customer records from Ramp arrive in Google Cloud Platform as queryable tables, current within seconds instead of a day behind.
Analysts combine Ramp's financial records with product, marketing, or operational data already in Google Cloud Platform for reporting the finance system cannot do alone.
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.
| Google Cloud Platform objects | Ramp objects | How this pairing syncs | |
|---|---|---|---|
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Vendors Supplier records under the accounting namespace; uploaded and updated for AP matching and payments. | BigQuery datasets is specific to Google Cloud Platform and Vendors to Ramp — each maps to any object or custom field on the other side. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Funds (Spend Controls) Spend controls governing card usage; read and created via the funds API to enforce budgets per user, department, or program. | BigQuery tables is specific to Google Cloud Platform and Funds (Spend Controls) to Ramp — each maps to any object or custom field on the other side. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | General Ledger Accounts Chart-of-accounts entries uploaded from the ERP; accounting codings are posted back against transactions and bills. | Cloud SQL databases is specific to Google Cloud Platform and General Ledger Accounts to Ramp — each maps to any object or custom field on the other side. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Transactions Card purchase records with merchant, amount, and state; read for spend/GL sync and written back via accounting codings and sync status. | Cloud Storage objects is specific to Google Cloud Platform and Transactions to Ramp — each maps to any object or custom field on the other side. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Cards Physical and virtual card records; created and managed through the API to provision or suspend cardholder spend. | Pub/Sub topics is specific to Google Cloud Platform and Cards to Ramp — each maps to any object or custom field on the other side. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Users Employee and cardholder records; invited, updated, and deactivated, commonly synced from an HRIS or identity provider. | Firestore documents is specific to Google Cloud Platform and Users to Ramp — 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.
DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.
DeliveryEach detected change is written to Ramp through its API, with automatic retries and rate-limit backoff.
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 Google Cloud Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Ramp connection.
Changes in Google Cloud Platform or Ramp instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Ramp data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Platform or Ramp record.
Track your Google Cloud Platform ⇄ Ramp sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Ramp.
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 Google Cloud Platform and Ramp 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 Google Cloud Platform and Ramp 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 Google Cloud Platform and Ramp: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's BigQuery datasets and BigQuery tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud Platform and Ramp connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Platform–Ramp integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud Platform and Ramp. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Cloud Platform: Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables. On Ramp: Signed webhooks (HMAC-SHA256 X-Ramp-Signature) for bill, transaction, reimbursement, vendor, and user events; otherwise poll incrementally (synced_after on transactions, from_created_at on bills) with keyset pagination, or read the audit-logs/events feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Ramp side: Bills, Vendors, Funds (Spend Controls), General Ledger Accounts, plus custom fields where Ramp exposes them. On the Google Cloud Platform side: Cloud SQL databases, Cloud Storage objects, Pub/Sub topics, Firestore documents. Stacksync auto-detects both schemas and converts types between the two systems.
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.
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 534 integrations available for Google Cloud Platform and Ramp.