Real-time
Two-way sync
Changes in Treasuredata or Zuora instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ Accounting and finance
Treasuredata to Zuora integration — real-time, two-way sync
Keep Treasuredata 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.
- SOC 2 and 6 other compliance frameworks
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Treasuredata and Zuora
Feed the customers, invoices, and revenue records in Zuora into Treasuredata in real time, so dashboards and reports run on current numbers instead of last night's export.
Zuora holds the financial truth: who the customers are, what they were invoiced, what they paid, and what revenue landed. Treasuredata is where that data is turned into dashboards, reports, and metrics, but it only reflects the world as of its last load. When the connection between them is a scheduled extract or a hand-built pipeline, analysis runs a step behind the books, and the numbers on a chart rarely match the numbers in the finance system.
Stacksync keeps Account (Billing Account), Subscription, Rate Plan and Rate Plan Charge, Product and Product Rate Plan (Product Catalog) in Zuora in sync with Predictive Segments, Scheduled Queries, Query Jobs, Databases in Treasuredata, field by field and in real time. A customer, invoice, or amount created or corrected in Zuora shows up in Treasuredata within seconds, mapped to the right record. Where Treasuredata keeps its own accounts or users, the flow runs both ways, so finance attributes can enrich what Treasuredata already tracks.
There is no middleware to build, no API rate limits to babysit, and no nightly job that leaves the morning's reporting running on yesterday's figures.
Common use cases
- 01 Two-way sync of Accounts and Subscriptions with an operational Postgres database so product and finance teams read billing state in SQL while changes flow back into Zuora.
- 02 Master the Product Catalog (Products and Product Rate Plans) in a database or PIM and write pricing changes into Zuora.
- 03 Write CRM and product-usage records into TD Tables so they become source tables feeding parent-segment unification.
- 04 Push Predictive Segment propensity scores from TD onto customer records in an operational database or CRM for prioritization and lead routing.
Common sync patterns
One customer key across both
A customer or account in Zuora is matched to the corresponding record in Treasuredata, so financial numbers join cleanly to whatever Treasuredata already reports on.
Revenue alongside the rest of the data
The amounts Zuora records sit next to product, usage, or operational data in Treasuredata, so a single view combines what was billed with what actually happened.
Reports refresh as the books change
Instead of waiting for a scheduled load, Treasuredata updates the moment a figure moves in Zuora, so a dashboard opened at any point in the day is current.
What you can sync between Treasuredata and 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.
| Treasuredata objects | Zuora objects | How this pairing syncs | |
|---|---|---|---|
| Predictive Segments AI/ML-scored segments; propensity scores read out and written onto customer records in a CRM or database for prioritization. | 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. | Predictive Segments is specific to Treasuredata and Rate Plan and Rate Plan Charge to Zuora — each maps to any object or custom field on the other side. | |
| Scheduled Queries Cron-scheduled Presto/Trino (or Hive) jobs that materialize results into result tables; Stacksync reads those materialized tables downstream. | 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. | Scheduled Queries is specific to Treasuredata and Product and Product Rate Plan (Product Catalog) to Zuora — each maps to any object or custom field on the other side. | |
| Query Jobs Ad-hoc Presto/Trino query jobs run asynchronously; results are retrieved from the job result endpoint and fed into downstream systems. | 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. | Query Jobs is specific to Treasuredata and Invoice to Zuora — each maps to any object or custom field on the other side. | |
| Databases Logical containers for tables; a sync targets one database and maps its tables to warehouse or operational-DB tables. | Payment Payment and refund transactions applied against invoices; read for cash application, dunning, and reconciliation reporting in the warehouse. | Databases is specific to Treasuredata and Payment to Zuora — each maps to any object or custom field on the other side. | |
| Tables Columnar log tables in TD's Plazma storage; every row carries a mandatory `time` column (Unix epoch) that Stacksync uses as the incremental watermark and partition key. Synced two-way with warehouse or database tables. | Usage Metered consumption records; written into Zuora from a metering or warehouse pipeline so consumption-based charges are rated and invoiced. | Tables is specific to Treasuredata and Usage to Zuora — each maps to any object or custom field on the other side. | |
| Master (Parent) Segments Unified customer profiles assembled from multiple source tables in Audience Studio; read out to push enriched attributes onto CRM or warehouse records. | Order and Amendment Records of subscription create and change actions; written to Zuora to drive quote-to-cash and read for subscription change history. | Master (Parent) Segments is specific to Treasuredata and Order and Amendment to Zuora — each maps to any object or custom field on the other side. |
How changes propagate between Treasuredata and Zuora
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.
Treasuredata Zuora Interval-based propagation
DetectionStacksync polls Treasuredata for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column.
DeliveryEach detected change is written to Zuora through its API, with automatic retries and rate-limit backoff.
Zuora Treasuredata Sub-second propagation
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 written to Treasuredata through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Treasuredata: TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs.
- Zuora: Concurrency limits: 40 concurrent requests by default, 80 for Object Queries, 200 for high-volume operations (doubled for Performance Booster); HTTP 429 on breach with exponential backoff; OAuth token endpoint is not bound by the limit.
What ships with Treasuredata ⇄ Zuora
Connect Treasuredata and Zuora for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Treasuredata–Zuora connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Treasuredata or Zuora data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Treasuredata or Zuora record.
Observability
Monitoring
Track your Treasuredata ⇄ Zuora sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Treasuredata and Zuora.
How the Treasuredata and Zuora connectors work
Treasuredata
- Integration surface
- TD API v3 (REST) for databases, tables, and jobs, plus the Audience API (REST) for CDP segments and journeys
- Authentication
- API key sent as an `Authorization: TD1 <api_key>` header (per-user or account key from the TD Console); requests go to the region-specific endpoint (e.g. api.treasuredata.com for US, with separate EU and Tokyo endpoints)
- Change detection
- Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column; TD stores append-oriented columnar data with no per-row CDC stream, so incremental syncs query for rows past a stored watermark
- Capabilities
- read · write
- Rate limits
- TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs
Zuora
- Integration surface
- 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
- Change detection
- Incremental extraction on the indexed UpdatedDate column via ZOQL/AQuA stateful mode (high-water mark), plus Callout Notifications (webhooks) for event-driven changes
- Capabilities
- read · write · webhooks
- Rate limits
- Concurrency limits: 40 concurrent requests by default, 80 for Object Queries, 200 for high-volume operations (doubled for Performance Booster); HTTP 429 on breach with exponential backoff; OAuth token endpoint is not bound by the limit.
How it works
How to connect Treasuredata to Zuora — three steps, no code
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.
- 01
Connect your apps
Authenticate Treasuredata 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.
Treasuredata
connected
Zuora
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Treasuredata 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.
objects · Treasuredata ⇄ ZuoraCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Treasuredata ZuoraCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Treasuredata and Zuora integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Treasuredata and Zuora: authenticate both systems, choose the objects to sync (such as Treasuredata's Predictive Segments and Scheduled Queries), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Treasuredata: TD API v3 (REST) for databases, tables, and jobs, plus the Audience API (REST) for CDP segments and journeys. Authentication: API key sent as an `Authorization: TD1 <api_key>` header (per-user or account key from the TD Console); requests go to the region-specific endpoint (e.g. api.treasuredata.com for US, with separate EU and Tokyo endpoints). 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.
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Zuora: Callout Notifications (webhooks) time out after 25 seconds and truncate response bodies to 60KB before storing them. Treasuredata: TD storage (Plazma) is append/columnar-oriented — there is no native per-row change-data-capture stream, so incremental reads rely on polling a time or updated-at column. Stacksync's field mapping accounts for these differences between Treasuredata and Zuora without custom code.
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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 Treasuredata and Zuora records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Treasuredata and Zuora connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Treasuredata–Zuora integration in-house.
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Yes — Stacksync ships production-grade connectors for both Treasuredata and Zuora. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
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