Two-way sync
Changes in MySQL or Zuora instantly reflect in both systems. No stale data, no manual imports.
Keep 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 Subscription, Rate Plan and Rate Plan Charge, Product and Product Rate Plan (Product Catalog), Invoice from Zuora into Triggers, Databases (Schemas), Tables, Views in MySQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against MySQL, 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 MySQL as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Zuora live in MySQL as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on MySQL; 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.
| MySQL objects | Zuora objects | How this pairing syncs | |
|---|---|---|---|
| Columns Field-level mapping targets with engine-typed values. | 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. | Columns is specific to MySQL and Subscription to Zuora — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | 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. | Primary and Unique Keys is specific to MySQL and Rate Plan and Rate Plan Charge to Zuora — each maps to any object or custom field on the other side. | |
| JSON Columns Validated semi-structured payloads for nested SaaS data. | 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. | JSON Columns is specific to MySQL and Product and Product Rate Plan (Product Catalog) to Zuora — each maps to any object or custom field on the other side. | |
| Stored Procedures Server-side logic that can post-process synced rows. | 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. | Stored Procedures is specific to MySQL and Invoice to Zuora — each maps to any object or custom field on the other side. | |
| Triggers An alternative change-capture mechanism when binlog access is unavailable. | Payment Payment and refund transactions applied against invoices; read for cash application, dunning, and reconciliation reporting in the warehouse. | Triggers is specific to MySQL and Payment to Zuora — each maps to any object or custom field on the other side. | |
| Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Usage Metered consumption records; written into Zuora from a metering or warehouse pipeline so consumption-based charges are rated and invoiced. | Databases (Schemas) is specific to 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 MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.
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 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 MySQL–Zuora connection.
Changes in MySQL or Zuora instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever 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 MySQL or Zuora record.
Track your MySQL ⇄ Zuora sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between 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 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 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 MySQL and Zuora: authenticate both systems, choose the objects to sync (such as MySQL's Columns and Primary and Unique Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for MySQL and Zuora: React to financial events; Query finance data like any other data; Internal tools without API plumbing. Changes in Zuora appear in MySQL as row changes, so you can trigger downstream logic with the database tooling you already use.
MySQL: SQL wire protocol (MySQL client/server protocol). Authentication: Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host). 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. MySQL: Composite primary keys are not supported — primary key must be a single column. Stacksync's field mapping accounts for these differences between MySQL 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 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 MySQL and Zuora connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MySQL–Zuora integration in-house.
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 541 integrations available for MySQL and Zuora.