Two-way sync
Changes in Amazon Aurora or Zuora instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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 Account (Billing Account), Subscription, Rate Plan and Rate Plan Charge, Product and Product Rate Plan (Product Catalog) from Zuora into Databases, Schemas, Tables, Views in Amazon Aurora and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Amazon Aurora, and rows your code writes or updates flow back into Zuora with validation, so the finance system stays the system of record.
Customers, invoices, and payments from Zuora live in Amazon Aurora as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on Amazon Aurora; Stacksync handles the API calls, rate limits, and retries against Zuora.
Updates written to the synced tables in Amazon Aurora propagate into Zuora, so automations can create or correct finance records without custom integration code.
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.
| Amazon Aurora objects | Zuora objects | How this pairing syncs | |
|---|---|---|---|
| Tables Relational tables synced bi-directionally at row level. | Payment Payment and refund transactions applied against invoices; read for cash application, dunning, and reconciliation reporting in the warehouse. | Tables is specific to Amazon Aurora and Payment to Zuora — each maps to any object or custom field on the other side. | |
| Views Read-only query-backed sources for downstream syncs. | Usage Metered consumption records; written into Zuora from a metering or warehouse pipeline so consumption-based charges are rated and invoiced. | Views is specific to Amazon Aurora and Usage to Zuora — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Order and Amendment Records of subscription create and change actions; written to Zuora to drive quote-to-cash and read for subscription change history. | Materialized Views is specific to Amazon Aurora and Order and Amendment to Zuora — each maps to any object or custom field on the other side. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | 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. | Columns and Data Types is specific to Amazon Aurora and Account (Billing Account) to Zuora — each maps to any object or custom field on the other side. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | 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. | Primary and Foreign Keys is specific to Amazon Aurora and Subscription to Zuora — each maps to any object or custom field on the other side. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | 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. | Read Replicas is specific to Amazon Aurora and Rate Plan and Rate Plan Charge 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 Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
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 Amazon Aurora as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Zuora connection.
Changes in Amazon Aurora or Zuora instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Zuora record.
Track your Amazon Aurora ⇄ Zuora sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora and Zuora: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Zuora side: Account (Billing Account), Subscription, Rate Plan and Rate Plan Charge, Product and Product Rate Plan (Product Catalog), plus custom fields where Zuora exposes them. On the Amazon Aurora side: Databases, Schemas, Tables, 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 Amazon Aurora and Zuora: Query finance data like any other data; Internal tools without API plumbing; Write back safely. Customers, invoices, and payments from Zuora live in Amazon Aurora as regular tables or collections your team can join, index, and query.
Amazon Aurora: MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS. Authentication: Database credentials or IAM database authentication. 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: The Data Query API is meant for near-real-time operational reads, not bulk; Zuora recommends AQuA stateless mode for full bulk extraction. Amazon Aurora: A cluster exposes distinct writer and reader endpoints, and supports multiple read replicas, so sync reads can be isolated from transactional writes. Stacksync's field mapping accounts for these differences between Amazon Aurora 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 429 integrations available for Amazon Aurora and Zuora.