Two-way sync
Changes in PostgreSQL or Zuora instantly reflect in both systems. No stale data, no manual imports.
Keep PostgreSQL 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 Order and Amendment, Account (Billing Account), Subscription, Rate Plan and Rate Plan Charge from Zuora 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 Zuora with validation, so the finance system stays the system of record.
Changes in Zuora appear in PostgreSQL as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Zuora live in PostgreSQL as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on PostgreSQL; Stacksync handles the API calls, rate limits, and retries against Zuora.
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 | Zuora objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces that scope which tables a sync reads and writes. | 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. | Schemas is specific to PostgreSQL and Invoice to Zuora — 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. | Payment Payment and refund transactions applied against invoices; read for cash application, dunning, and reconciliation reporting in the warehouse. | Columns is specific to PostgreSQL and Payment to Zuora — 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. | Usage Metered consumption records; written into Zuora from a metering or warehouse pipeline so consumption-based charges are rated and invoiced. | Primary and Unique Keys is specific to PostgreSQL and Usage to Zuora — 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. | Order and Amendment Records of subscription create and change actions; written to Zuora to drive quote-to-cash and read for subscription change history. | JSONB Columns is specific to PostgreSQL and Order and Amendment to Zuora — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | 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. | Sequences is specific to PostgreSQL and Account (Billing Account) to Zuora — 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. | 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. | Custom Types and Enums is specific to PostgreSQL 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.
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 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 PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PostgreSQL–Zuora connection.
Changes in PostgreSQL or Zuora instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever PostgreSQL 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 PostgreSQL or Zuora record.
Track your PostgreSQL ⇄ Zuora sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between PostgreSQL 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL and Zuora: authenticate both systems, choose the objects to sync (such as PostgreSQL's Schemas and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Zuora side: Order and Amendment, Account (Billing Account), Subscription, Rate Plan and Rate Plan Charge, plus custom fields where Zuora exposes them. On the PostgreSQL side: Primary and Unique Keys, JSONB Columns, Sequences, Custom Types and Enums. 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 PostgreSQL and Zuora: React to financial events; Query finance data like any other data; Internal tools without API plumbing. Changes in Zuora appear in PostgreSQL as row changes, so you can trigger downstream logic with the database tooling you already use.
PostgreSQL: 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. 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. PostgreSQL: INSERT ... ON CONFLICT gives native upsert semantics, which makes inbound syncs idempotent against primary or unique keys. Stacksync's field mapping accounts for these differences between PostgreSQL and Zuora without custom code.
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 540 integrations available for PostgreSQL and Zuora.