Two-way sync
Changes in Ramp or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Keep Ramp and Render Postgres 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 Departments, Reimbursements, Bills, Vendors from Ramp into Tables, Views, Materialized Views, Schemas in Render Postgres and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Render Postgres, and rows your code writes or updates flow back into Ramp with validation, so the finance system stays the system of record.
Customers, invoices, and payments from Ramp live in Render Postgres as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on Render Postgres; Stacksync handles the API calls, rate limits, and retries against Ramp.
Updates written to the synced tables in Render Postgres propagate into Ramp, so automations can create or correct finance records without custom integration code.
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 | Render Postgres 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. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Departments is specific to Ramp and Schemas to Render Postgres — 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. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Reimbursements is specific to Ramp and Columns and Types to Render Postgres — 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. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Bills is specific to Ramp and Indexes and Constraints to Render Postgres — 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 Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Vendors is specific to Ramp and Tables to Render Postgres — 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 Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Funds (Spend Controls) is specific to Ramp and Views to Render Postgres — 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. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | General Ledger Accounts is specific to Ramp and Materialized Views to Render Postgres — 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 Render Postgres as a row-level write, with types converted between the two schemas.
DetectionChanges in Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
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–Render Postgres connection.
Changes in Ramp or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Ramp or Render Postgres 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 Render Postgres record.
Track your Ramp ⇄ Render Postgres sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Ramp and Render Postgres.
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 Render Postgres 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 Render Postgres 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 Render Postgres: 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 Render Postgres. 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 Render Postgres: Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Ramp side: Departments, Reimbursements, Bills, Vendors, plus custom fields where Ramp exposes them. On the Render Postgres side: Tables, Views, Materialized Views, Schemas. 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 Render Postgres: Query finance data like any other data; Internal tools without API plumbing; Write back safely. Customers, invoices, and payments from Ramp live in Render Postgres as regular tables or collections your team can join, index, and query.
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 411 integrations available for Ramp and Render Postgres.