Real-time
Two-way sync
Changes in Dremio or Zuora instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Accounting and finance
Dremio to Zuora integration — real-time, two-way sync
Keep Dremio 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Dremio and Zuora
Land the financial records from Zuora in Dremio continuously, and write results back, without building or maintaining a pipeline.
Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.
Stacksync syncs Product and Product Rate Plan (Product Catalog), Invoice, Payment, Usage from Zuora into tables in Dremio in real time, and the connection works in both directions: values computed in Dremio can be written back to fields in Zuora where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.
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 Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
- 04 Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
Common sync patterns
Write-back of computed fields
Scores or segments computed in Dremio, like payment-risk flags or customer tiers, sync back onto records in Zuora where the finance team can act on them.
Queryable history for audit and reconciliation
A continuously synced copy in Dremio gives you a durable, queryable record of financial data for month-end and audit questions.
Finance analytics without ETL
Invoices, payments, and customer records from Zuora arrive in Dremio as queryable tables, current within seconds instead of a day behind.
What you can sync between Dremio 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.
| Dremio objects | Zuora objects | How this pairing syncs | |
|---|---|---|---|
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | 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. | Physical datasets is specific to Dremio and Product and Product Rate Plan (Product Catalog) to Zuora — each maps to any object or custom field on the other side. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | 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. | Virtual datasets (views) is specific to Dremio and Invoice to Zuora — each maps to any object or custom field on the other side. | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Payment Payment and refund transactions applied against invoices; read for cash application, dunning, and reconciliation reporting in the warehouse. | Apache Iceberg tables is specific to Dremio and Payment to Zuora — each maps to any object or custom field on the other side. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Usage Metered consumption records; written into Zuora from a metering or warehouse pipeline so consumption-based charges are rated and invoiced. | Spaces and folders is specific to Dremio and Usage to Zuora — each maps to any object or custom field on the other side. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Order and Amendment Records of subscription create and change actions; written to Zuora to drive quote-to-cash and read for subscription change history. | Reflections is specific to Dremio and Order and Amendment to Zuora — each maps to any object or custom field on the other side. | |
| Jobs Query execution records useful for monitoring sync workloads. | 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. | Jobs is specific to Dremio and Account (Billing Account) to Zuora — each maps to any object or custom field on the other side. |
How changes propagate between Dremio 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.
Dremio Zuora Interval-based propagation
DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
DeliveryEach detected change is written to Zuora through its API, with automatic retries and rate-limit backoff.
Zuora Dremio 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 applied to Dremio as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Dremio: Bounded by engine capacity and workload management rather than API rate limits.
- 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 Dremio ⇄ Zuora
Connect Dremio and Zuora for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–Zuora connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio 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 Dremio or Zuora record.
Observability
Monitoring
Track your Dremio ⇄ Zuora sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Dremio and Zuora.
How the Dremio and Zuora connectors work
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
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 Dremio 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 Dremio 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.
Dremio
connected
Zuora
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio 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 · Dremio ⇄ 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.
Dremio ZuoraCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and Zuora integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Dremio and Zuora: authenticate both systems, choose the objects to sync (such as Dremio's Physical datasets and Virtual datasets (views)), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both Dremio and Zuora. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Dremio: Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed. 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: Product and Product Rate Plan (Product Catalog), Invoice, Payment, Usage, plus custom fields where Zuora exposes them. On the Dremio side: Spaces and folders, Reflections, Jobs, Sources. 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 Dremio and Zuora: Write-back of computed fields; Queryable history for audit and reconciliation; Finance analytics without ETL. Scores or segments computed in Dremio, like payment-risk flags or customer tiers, sync back onto records in Zuora where the finance team can act on them.
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
CSA STAR
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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