Real-time
Two-way sync
Changes in Postgres Heroku or Ramp instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Accounting and finance
Postgres Heroku to Ramp integration — real-time, two-way sync
Keep Postgres Heroku 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Postgres Heroku and Ramp
Work with Ramp's financial data straight from Postgres Heroku: 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 Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns in Postgres Heroku and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Postgres Heroku, 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 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
- 04 Keep several Heroku app databases aligned with one system of record
Common sync patterns
Internal tools without API plumbing
Build dashboards and back-office tools directly on Postgres Heroku; Stacksync handles the API calls, rate limits, and retries against Ramp.
Write back safely
Updates written to the synced tables in Postgres Heroku propagate into Ramp, so automations can create or correct finance records without custom integration code.
React to financial events
Changes in Ramp appear in Postgres Heroku as row changes, so you can trigger downstream logic with the database tooling you already use.
What you can sync between Postgres Heroku 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.
| Postgres Heroku objects | Ramp objects | How this pairing syncs | |
|---|---|---|---|
| Sequences Generate surrogate keys for rows created by inbound syncs. | General Ledger Accounts Chart-of-accounts entries uploaded from the ERP; accounting codings are posted back against transactions and bills. | Sequences is specific to Postgres Heroku and General Ledger Accounts to Ramp — each maps to any object or custom field on the other side. | |
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Transactions Card purchase records with merchant, amount, and state; read for spend/GL sync and written back via accounting codings and sync status. | Follower Databases is specific to Postgres Heroku and Transactions to Ramp — each maps to any object or custom field on the other side. | |
| Tables Standard Postgres tables; the primary two-way sync target for app data. | Cards Physical and virtual card records; created and managed through the API to provision or suspend cardholder spend. | Tables is specific to Postgres Heroku and Cards to Ramp — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Users Employee and cardholder records; invited, updated, and deactivated, commonly synced from an HRIS or identity provider. | Views is specific to Postgres Heroku and Users to Ramp — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Departments Org groupings for cost-center and GL allocation; pushed from an ERP/HRIS and referenced by cards and transactions. | Materialized Views is specific to Postgres Heroku and Departments to Ramp — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Reimbursements Out-of-pocket expense claims; read for reporting and marked ready-to-sync then synced to the ERP. | Schemas is specific to Postgres Heroku and Reimbursements to Ramp — each maps to any object or custom field on the other side. |
How changes propagate between Postgres Heroku 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.
Postgres Heroku Ramp Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is written to Ramp through its API, with automatic retries and rate-limit backoff.
Ramp Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
- 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 Postgres Heroku ⇄ Ramp
Connect Postgres Heroku and Ramp for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Ramp connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or Ramp record.
Observability
Monitoring
Track your Postgres Heroku ⇄ Ramp sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Ramp.
How the Postgres Heroku and Ramp connectors work
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
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.
How it works
How to connect Postgres Heroku 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.
- 01
Connect your apps
Authenticate Postgres Heroku 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.
Postgres Heroku
connected
Ramp
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku 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.
objects · Postgres Heroku ⇄ RampCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Postgres Heroku RampCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and Ramp integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Ramp: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Sequences and Follower Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Postgres Heroku and Ramp records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Postgres Heroku and Ramp connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–Ramp integration in-house.
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Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Ramp. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. 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.
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On the Ramp side: Cards, Users, Departments, Reimbursements, plus custom fields where Ramp exposes them. On the Postgres Heroku side: Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns. Stacksync auto-detects both schemas and converts types between the two systems.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 443 integrations available for Postgres Heroku and Ramp.
Popular · 6 of 443
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Postgres Heroku ⇄ QuickBooks -
Postgres Heroku ⇄ Stripe -
Ramp ⇄ OpenSearch -
Ramp ⇄ Oracle DB -
Ramp ⇄ RavenDB -
Ramp ⇄ Redis Enterprise
No integrations match .
