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Database ⇄ Accounting and finance

Amazon Aurora to Ramp integration — real-time, two-way sync

Keep Amazon Aurora 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 Amazon Aurora and Ramp

Work with Ramp's financial data straight from Amazon Aurora: 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 Reimbursements, Bills, Vendors, Funds (Spend Controls) from Ramp into Views, Materialized Views, Columns and Data Types, Primary and Foreign Keys in Amazon Aurora and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Amazon Aurora, 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 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.
  • 02 Mirror Bills and their approval and payment state into an AP or ERP system, marking each one ready-to-sync then synced to keep both ledgers reconciled.
  • 03 Consolidate several Aurora clusters into one reporting database.
  • 04 Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.

Common sync patterns

Internal tools without API plumbing

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

Write back safely

Updates written to the synced tables in Amazon Aurora propagate into Ramp, so automations can create or correct finance records without custom integration code.

React to financial events

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

What you can sync between Amazon Aurora 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.

Amazon Aurora objects Ramp objects How this pairing syncs
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Transactions Card purchase records with merchant, amount, and state; read for spend/GL sync and written back via accounting codings and sync status. Materialized Views is specific to Amazon Aurora and Transactions to Ramp — each maps to any object or custom field on the other side.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Cards Physical and virtual card records; created and managed through the API to provision or suspend cardholder spend. Columns and Data Types is specific to Amazon Aurora and Cards to Ramp — each maps to any object or custom field on the other side.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Users Employee and cardholder records; invited, updated, and deactivated, commonly synced from an HRIS or identity provider. Primary and Foreign Keys is specific to Amazon Aurora and Users to Ramp — each maps to any object or custom field on the other side.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Departments Org groupings for cost-center and GL allocation; pushed from an ERP/HRIS and referenced by cards and transactions. Read Replicas is specific to Amazon Aurora and Departments to Ramp — each maps to any object or custom field on the other side.
Databases Logical databases within a cluster that scope a sync connection. Reimbursements Out-of-pocket expense claims; read for reporting and marked ready-to-sync then synced to the ERP. Databases is specific to Amazon Aurora and Reimbursements to Ramp — each maps to any object or custom field on the other side.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Bills Accounts-payable bills; created, updated, approved, and paid, then posted ready-to-sync and synced to accounting. Schemas is specific to Amazon Aurora and Bills to Ramp — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora 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.

Amazon Aurora Ramp Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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

Ramp Amazon Aurora 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 Amazon Aurora as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • 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 Amazon Aurora ⇄ Ramp

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Ramp record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Amazon Aurora and Ramp connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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 Amazon Aurora 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 Amazon Aurora 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
    Amazon Aurora connected
    Ramp connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora 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 · Amazon Aurora ⇄ 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
    Amazon Aurora Ramp
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and Ramp integration FAQ

SECURITY

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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 429 integrations available for Amazon Aurora and Ramp.

Popular · 8 of 429
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