Two-way sync
Changes in Postgres Heroku or Zuora instantly reflect in both systems. No stale data, no manual imports.
Keep Postgres Heroku and Zuora 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 Payment, Usage, Order and Amendment, Account (Billing Account) from Zuora 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 Zuora with validation, so the finance system stays the system of record.
Build dashboards and back-office tools directly on Postgres Heroku; Stacksync handles the API calls, rate limits, and retries against Zuora.
Updates written to the synced tables in Postgres Heroku propagate into Zuora, so automations can create or correct finance records without custom integration code.
Changes in Zuora appear in Postgres Heroku as row changes, so you can trigger downstream logic with the database tooling you already use.
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 | Zuora objects | How this pairing syncs | |
|---|---|---|---|
| Tables Standard Postgres tables; the primary two-way sync target for app data. | Invoice Billing documents generated from rate plan charges and order line items; typically read out into an ERP or GL for revenue recognition and reconciliation. | Tables is specific to Postgres Heroku and Invoice to Zuora — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Payment Payment and refund transactions applied against invoices; read for cash application, dunning, and reconciliation reporting in the warehouse. | Views is specific to Postgres Heroku and Payment to Zuora — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Usage Metered consumption records; written into Zuora from a metering or warehouse pipeline so consumption-based charges are rated and invoiced. | Materialized Views is specific to Postgres Heroku and Usage to Zuora — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Order and Amendment Records of subscription create and change actions; written to Zuora to drive quote-to-cash and read for subscription change history. | Schemas is specific to Postgres Heroku and Order and Amendment to Zuora — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Account (Billing Account) The customer billing entity holding contacts, payment methods, and billing settings; synced two-way as the parent record most other Zuora objects hang off. | Primary and Unique Keys is specific to Postgres Heroku and Account (Billing Account) to Zuora — each maps to any object or custom field on the other side. | |
| JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Subscription Recurring or usage-based subscription tied to an Account; read for revenue state and written when provisioning or changing plans from a CRM or app. | JSONB Columns is specific to Postgres Heroku and Subscription to Zuora — 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 Zuora through its API, with automatic retries and rate-limit backoff.
DetectionZuora notifies Stacksync of record changes through webhook events. Incremental extraction on the indexed UpdatedDate column via ZOQL/AQuA stateful mode (high-water mark), plus Callout Notifications (webhooks) for.
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–Zuora connection.
Changes in Postgres Heroku or Zuora instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Postgres Heroku or Zuora 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 Zuora record.
Track your Postgres Heroku ⇄ Zuora sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Zuora.
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 Zuora 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 Zuora 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 Zuora: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Zuora: REST API (v1) with Object Query, Data Query, and AQuA bulk export; legacy SOAP API also available. Authentication: OAuth 2.0 client credentials (bearer token, 3600s expiry); access is governed by the Zuora role of the OAuth client's associated user, with no granular scopes. Stacksync manages authentication, retries, and rate limits on both sides.
Zuora: Zuora recommends OAuth 2.0; tokens expire after 3600 seconds and the OAuth client's Zuora user role governs all access, since there are no per-scope permissions. Postgres Heroku: Credentials are managed by Heroku through the DATABASE_URL config var and can rotate, so integrations should tolerate credential changes. Stacksync's field mapping accounts for these differences between Postgres Heroku and Zuora without custom code.
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 Zuora records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Postgres Heroku and Zuora connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–Zuora integration in-house.
Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Zuora. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 443 integrations available for Postgres Heroku and Zuora.