Two-way sync
Changes in Citus or Zuora instantly reflect in both systems. No stale data, no manual imports.
Keep Citus 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 Product and Product Rate Plan (Product Catalog), Invoice, Payment, Usage from Zuora into Sequences, Distributed tables, Reference tables, Local tables in Citus and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Citus, and rows your code writes or updates flow back into Zuora with validation, so the finance system stays the system of record.
Updates written to the synced tables in Citus propagate into Zuora, so automations can create or correct finance records without custom integration code.
Changes in Zuora appear in Citus as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Zuora live in Citus as regular tables or collections your team can join, index, and query.
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.
| Citus objects | Zuora objects | How this pairing syncs | |
|---|---|---|---|
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Rate Plan and Rate Plan Charge The priced components inside a Subscription; synced so charge amounts, quantities, and effective dates stay aligned with the source system. | Reference tables is specific to Citus and Rate Plan and Rate Plan Charge to Zuora — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Product and Product Rate Plan (Product Catalog) The catalog of sellable products and their pricing; usually mastered elsewhere and written into Zuora, or read to map subscription charges. | Local tables is specific to Citus and Product and Product Rate Plan (Product Catalog) to Zuora — each maps to any object or custom field on the other side. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | 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 Citus and Invoice to Zuora — each maps to any object or custom field on the other side. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Payment Payment and refund transactions applied against invoices; read for cash application, dunning, and reconciliation reporting in the warehouse. | Views is specific to Citus and Payment to Zuora — each maps to any object or custom field on the other side. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Usage Metered consumption records; written into Zuora from a metering or warehouse pipeline so consumption-based charges are rated and invoiced. | Sequences is specific to Citus and Usage to Zuora — each maps to any object or custom field on the other side. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Order and Amendment Records of subscription create and change actions; written to Zuora to drive quote-to-cash and read for subscription change history. | Distributed tables is specific to Citus and Order and Amendment 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 Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
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 Citus as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Zuora connection.
Changes in Citus or Zuora instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus 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 Citus or Zuora record.
Track your Citus ⇄ Zuora sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus 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 Citus 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 Citus 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 Citus and Zuora: authenticate both systems, choose the objects to sync (such as Citus's Reference tables and Local tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. On Zuora: Incremental extraction on the indexed UpdatedDate column via ZOQL/AQuA stateful mode (high-water mark), plus Callout Notifications (webhooks) for event-driven changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Zuora side: Product and Product Rate Plan (Product Catalog), Invoice, Payment, Usage, plus custom fields where Zuora exposes them. On the Citus side: Sequences, Distributed tables, Reference tables, Local tables. 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 Citus and Zuora: Write back safely; React to financial events; Query finance data like any other data. Updates written to the synced tables in Citus propagate into Zuora, so automations can create or correct finance records without custom integration code.
Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). 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.
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 427 integrations available for Citus and Zuora.