Two-way sync
Changes in AWS Aurora MySQL or Zuora instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL 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 Tables, Rows, Columns, Primary keys and indexes in AWS Aurora MySQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against AWS Aurora MySQL, 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 AWS Aurora MySQL as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on AWS Aurora MySQL; Stacksync handles the API calls, rate limits, and retries against Zuora.
Updates written to the synced tables in AWS Aurora MySQL 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.
| AWS Aurora MySQL objects | Zuora objects | How this pairing syncs | |
|---|---|---|---|
| Rows Inserted, updated, and deleted individually or in bulk during two-way 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. | Rows is specific to AWS Aurora MySQL and Subscription to Zuora — each maps to any object or custom field on the other side. | |
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | 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. | Columns is specific to AWS Aurora MySQL and Rate Plan and Rate Plan Charge to Zuora — each maps to any object or custom field on the other side. | |
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | 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. | Primary keys and indexes is specific to AWS Aurora MySQL and Product and Product Rate Plan (Product Catalog) to Zuora — each maps to any object or custom field on the other side. | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | 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. | Views is specific to AWS Aurora MySQL and Invoice to Zuora — each maps to any object or custom field on the other side. | |
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Payment Payment and refund transactions applied against invoices; read for cash application, dunning, and reconciliation reporting in the warehouse. | Foreign keys is specific to AWS Aurora MySQL and Payment to Zuora — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Usage Metered consumption records; written into Zuora from a metering or warehouse pipeline so consumption-based charges are rated and invoiced. | Stored procedures and triggers is specific to AWS Aurora MySQL and Usage 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 AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.
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 AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Zuora connection.
Changes in AWS Aurora MySQL or Zuora instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL 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 AWS Aurora MySQL or Zuora record.
Track your AWS Aurora MySQL ⇄ Zuora sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL 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 AWS Aurora MySQL 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 AWS Aurora MySQL 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 AWS Aurora MySQL and Zuora: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Rows and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 AWS Aurora MySQL and Zuora records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora MySQL and Zuora connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–Zuora integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL and Zuora. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. 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: 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 AWS Aurora MySQL side: Tables, Rows, Columns, Primary keys and indexes. Stacksync auto-detects both schemas and converts types between the two systems.
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 445 integrations available for AWS Aurora MySQL and Zuora.