Two-way sync
Changes in Postgres Heroku or Stripe instantly reflect in both systems. No stale data, no manual imports.
Keep Postgres Heroku and Stripe 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 Events, Customers, PaymentIntents, Charges from Stripe into Follower Databases, Tables, Views, Materialized Views 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 Stripe with validation, so the finance system stays the system of record.
Changes in Stripe appear in Postgres Heroku as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Stripe live in Postgres Heroku as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on Postgres Heroku; Stacksync handles the API calls, rate limits, and retries against Stripe.
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 | Stripe objects | How this pairing syncs | |
|---|---|---|---|
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Invoices Billing documents with line items, synced to ERPs and accounting systems. | Follower Databases is specific to Postgres Heroku and Invoices to Stripe — 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. | Subscriptions Recurring billing state that drives provisioning and CRM lifecycle stages. | Tables is specific to Postgres Heroku and Subscriptions to Stripe — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Products Catalog entries kept aligned with internal product databases. | Views is specific to Postgres Heroku and Products to Stripe — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Prices Amounts and billing intervals attached to products. | Materialized Views is specific to Postgres Heroku and Prices to Stripe — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Refunds Reversals synced into finance systems for accurate revenue reporting. | Schemas is specific to Postgres Heroku and Refunds to Stripe — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Disputes Chargebacks that support and finance teams track in their own tools. | Primary and Unique Keys is specific to Postgres Heroku and Disputes to Stripe — 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.
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 Stripe through its API, with automatic retries and rate-limit backoff.
DetectionStripe notifies Stacksync of record changes through webhook events. Webhooks backed by the Events API.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Stripe connection.
Changes in Postgres Heroku or Stripe instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Postgres Heroku or Stripe data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Postgres Heroku or Stripe record.
Track your Postgres Heroku ⇄ Stripe sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Stripe.
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 Postgres Heroku and Stripe 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 Postgres Heroku and Stripe 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 Postgres Heroku and Stripe: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Follower Databases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Stripe. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Stripe: Webhooks backed by the Events API; /v1/events supports replay and backfill. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Stripe side: Events, Customers, PaymentIntents, Charges, plus custom fields where Stripe exposes them. On the Postgres Heroku side: Follower Databases, Tables, Views, Materialized Views. 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 Postgres Heroku and Stripe: React to financial events; Query finance data like any other data; Internal tools without API plumbing. Changes in Stripe appear in Postgres Heroku as row changes, so you can trigger downstream logic with the database tooling you already use.
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 450 integrations available for Postgres Heroku and Stripe.