Two-way sync
Changes in Google Cloud SQL or Zuora instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud SQL 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 Subscription, Rate Plan and Rate Plan Charge, Product and Product Rate Plan (Product Catalog), Invoice from Zuora into Databases, Schemas, Tables, Rows in Google Cloud SQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Google Cloud SQL, 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 Google Cloud SQL propagate into Zuora, so automations can create or correct finance records without custom integration code.
Changes in Zuora appear in Google Cloud SQL as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Zuora live in Google Cloud SQL 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.
| Google Cloud SQL objects | Zuora objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespace tables in PostgreSQL and SQL Server instances. | 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 Google Cloud SQL and Order and Amendment to Zuora — each maps to any object or custom field on the other side. | |
| Tables Mapped directly to sync targets; schema changes can be propagated. | 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. | Tables is specific to Google Cloud SQL and Account (Billing Account) to Zuora — each maps to any object or custom field on the other side. | |
| Rows Read and written by primary key during each sync cycle. | 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 Google Cloud SQL and Subscription to Zuora — each maps to any object or custom field on the other side. | |
| Views Read-only sources for shaping data before syncing it out. | 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. | Views is specific to Google Cloud SQL and Rate Plan and Rate Plan Charge to Zuora — each maps to any object or custom field on the other side. | |
| Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | 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. | Transaction logs is specific to Google Cloud SQL and Product and Product Rate Plan (Product Catalog) to Zuora — each maps to any object or custom field on the other side. | |
| Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. | 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. | Instances is specific to Google Cloud SQL and Invoice 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 Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.
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 Google Cloud SQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Zuora connection.
Changes in Google Cloud SQL or Zuora instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud SQL 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 Google Cloud SQL or Zuora record.
Track your Google Cloud SQL ⇄ Zuora sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud SQL 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 Google Cloud SQL 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 Google Cloud SQL 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 Google Cloud SQL and Zuora: authenticate both systems, choose the objects to sync (such as Google Cloud SQL's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Google Cloud SQL: Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management. Authentication: Database credentials; IAM database authentication is available for MySQL and PostgreSQL. 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: Callout Notifications (webhooks) time out after 25 seconds and truncate response bodies to 60KB before storing them. Google Cloud SQL: Connections use standard wire protocols, so existing drivers and ORMs work without modification. Stacksync's field mapping accounts for these differences between Google Cloud SQL 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 Google Cloud SQL and Zuora records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud SQL and Zuora connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud SQL–Zuora integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud SQL 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 430 integrations available for Google Cloud SQL and Zuora.