Two-way sync
Changes in Ramp or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Ramp and SQL Server in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.
Stacksync mirrors Cards, Users, Departments, Reimbursements from Ramp into Tables, Views, Columns, Primary and Unique Keys in SQL Server and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against SQL Server, and rows your code writes or updates flow back into Ramp with validation, so the finance system stays the system of record.
Build dashboards and back-office tools directly on SQL Server; Stacksync handles the API calls, rate limits, and retries against Ramp.
Updates written to the synced tables in SQL Server propagate into Ramp, so automations can create or correct finance records without custom integration code.
Changes in Ramp appear in SQL Server as row changes, so you can trigger downstream logic with the database tooling you already use.
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 | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| Departments Org groupings for cost-center and GL allocation; pushed from an ERP/HRIS and referenced by cards and transactions. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | Departments is specific to Ramp and Stored Procedures to SQL Server — 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 Instance-level databases that scope a sync's reads and writes. | Reimbursements is specific to Ramp and Databases to SQL Server — each maps to any object or custom field on the other side. | |
| Bills Accounts-payable bills; created, updated, approved, and paid, then posted ready-to-sync and synced to accounting. | Schemas Namespaces (dbo and custom) used to organize synced tables. | Bills is specific to Ramp and Schemas to SQL Server — each maps to any object or custom field on the other side. | |
| Vendors Supplier records under the accounting namespace; uploaded and updated for AP matching and payments. | Tables The primary sync target; rows map to records in connected systems. | Vendors is specific to Ramp and Tables to SQL Server — each maps to any object or custom field on the other side. | |
| Funds (Spend Controls) Spend controls governing card usage; read and created via the funds API to enforce budgets per user, department, or program. | Views Read-side projections used as outbound sync sources. | Funds (Spend Controls) is specific to Ramp and Views to SQL Server — each maps to any object or custom field on the other side. | |
| General Ledger Accounts Chart-of-accounts entries uploaded from the ERP; accounting codings are posted back against transactions and bills. | Columns Field-level mapping targets with T-SQL types. | General Ledger Accounts is specific to Ramp and Columns to SQL Server — 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 SQL Server as a row-level write, with types converted between the two schemas.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
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–SQL Server connection.
Changes in Ramp or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Ramp or SQL Server 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 SQL Server record.
Track your Ramp ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Ramp and SQL Server.
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 SQL Server 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 SQL Server 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 SQL Server: authenticate both systems, choose the objects to sync (such as Ramp's Departments and Reimbursements), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Ramp and SQL Server. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection 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. On SQL Server: SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Ramp side: Cards, Users, Departments, Reimbursements, plus custom fields where Ramp exposes them. On the SQL Server side: Tables, Views, Columns, Primary and Unique Keys. 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.
Common patterns for Ramp and SQL Server: Internal tools without API plumbing; Write back safely; React to financial events. Build dashboards and back-office tools directly on SQL Server; Stacksync handles the API calls, rate limits, and retries against Ramp.
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 Ramp and SQL Server.