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Database ⇄ Accounting and finance

PostgreSQL to Ramp integration — real-time, two-way sync

Keep PostgreSQL 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect PostgreSQL and Ramp

Work with Ramp's financial data straight from PostgreSQL: read it with ordinary queries, write to it from your own code, and let Stacksync keep both sides consistent.

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 Primary and Unique Keys, JSONB Columns, Sequences, Custom Types and Enums in PostgreSQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against PostgreSQL, and rows your code writes or updates flow back into Ramp with validation, so the finance system stays the system of record.

Common use cases

  • 01 Read Reimbursements into a finance database for cross-entity expense reporting and reconciliation without manual CSV exports.
  • 02 Two-way sync Transactions and their accounting codings with a Postgres warehouse so finance analyzes spend in SQL and pushes GL categories and memos back to Ramp.
  • 03 Let an application write to its own database and have those rows appear as records in business systems in near real time
  • 04 Consolidate data from several microservice databases into one operational Postgres store

Common sync patterns

React to financial events

Changes in Ramp appear in PostgreSQL as row changes, so you can trigger downstream logic with the database tooling you already use.

Query finance data like any other data

Customers, invoices, and payments from Ramp live in PostgreSQL as regular tables or collections your team can join, index, and query.

Internal tools without API plumbing

Build dashboards and back-office tools directly on PostgreSQL; Stacksync handles the API calls, rate limits, and retries against Ramp.

What you can sync between PostgreSQL and Ramp

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.

PostgreSQL objects Ramp objects How this pairing syncs
Schemas Namespaces that scope which tables a sync reads and writes. Cards Physical and virtual card records; created and managed through the API to provision or suspend cardholder spend. Schemas is specific to PostgreSQL and Cards to Ramp — each maps to any object or custom field on the other side.
Columns Field-level mapping targets; types are mapped to the connected system's field types. Users Employee and cardholder records; invited, updated, and deactivated, commonly synced from an HRIS or identity provider. Columns is specific to PostgreSQL and Users to Ramp — each maps to any object or custom field on the other side.
Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. Departments Org groupings for cost-center and GL allocation; pushed from an ERP/HRIS and referenced by cards and transactions. Primary and Unique Keys is specific to PostgreSQL and Departments to Ramp — each maps to any object or custom field on the other side.
JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Reimbursements Out-of-pocket expense claims; read for reporting and marked ready-to-sync then synced to the ERP. JSONB Columns is specific to PostgreSQL and Reimbursements to Ramp — each maps to any object or custom field on the other side.
Sequences Generate surrogate keys for rows created by inbound syncs. Bills Accounts-payable bills; created, updated, approved, and paid, then posted ready-to-sync and synced to accounting. Sequences is specific to PostgreSQL and Bills to Ramp — each maps to any object or custom field on the other side.
Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Vendors Supplier records under the accounting namespace; uploaded and updated for AP matching and payments. Custom Types and Enums is specific to PostgreSQL and Vendors to Ramp — each maps to any object or custom field on the other side.

How changes propagate between PostgreSQL and Ramp

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.

PostgreSQL Ramp Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

DeliveryEach detected change is written to Ramp through its API, with automatic retries and rate-limit backoff.

Ramp PostgreSQL Sub-second propagation

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 PostgreSQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
  • Ramp: 200 requests per 10-second rolling window per source IP; exceeding it returns 429 Too Many Requests, and requests running over 60 seconds return 504. Results use keyset pagination (follow the page.next URL / start cursor); higher limits can be requested from support.
What ships with PostgreSQL ⇄ Ramp

Connect PostgreSQL and Ramp for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PostgreSQL–Ramp connection.

Real-time

Two-way sync

Changes in PostgreSQL or Ramp instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever PostgreSQL or Ramp data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single PostgreSQL or Ramp record.

Observability

Monitoring

Track your PostgreSQL ⇄ Ramp sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between PostgreSQL and Ramp.

How the PostgreSQL and Ramp connectors work

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide

Ramp

Integration surface
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).
Change detection
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.
Capabilities
read · write · webhooks
Rate limits
200 requests per 10-second rolling window per source IP; exceeding it returns 429 Too Many Requests, and requests running over 60 seconds return 504. Results use keyset pagination (follow the page.next URL / start cursor); higher limits can be requested from support.
Ramp setup guide
How it works

How to connect PostgreSQL to Ramp — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate PostgreSQL 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    PostgreSQL connected
    Ramp connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the PostgreSQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · PostgreSQL ⇄ Ramp
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    PostgreSQL Ramp
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

PostgreSQL and Ramp integration FAQ

SECURITY

Security teams trust Stacksync

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.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 540 integrations available for PostgreSQL and Ramp.

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