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Data warehouse ⇄ E-commerce

BigQuery to Nuorder integration — real-time, two-way sync

Keep BigQuery and Nuorder 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 BigQuery and Nuorder

Make BigQuery the analytics and enrichment layer behind Nuorder: orders, products, and customers stay current in both directions.

BigQuery is the analytical store where the business joins, models, and reports on its data; Nuorder runs the storefront, catalog, and transactions that generate most of it. The overlap is every record that has to be counted and enriched on one side and acted on the other — and when the bridge is a nightly export, the warehouse reports on yesterday while the store operates without the segments and metrics the warehouse just computed.

Stacksync syncs Partitioned tables, Clustered tables, Datasets, Projects in BigQuery with Inventory (ATS), Pricing / Price Lists, Payments, Products in Nuorder field by field, in real time, and in both directions. Transactional records land in the warehouse as they change, computed attributes and cleaned catalog data flow back to the store, and you decide which system owns which fields so Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • 02 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
  • 03 Two-way sync Companies (retail accounts) between NuORDER and a CRM so buyers created in either system stay aligned on customer master data.
  • 04 Poll the modified-orders date-range endpoint on a schedule to land new and updated Orders in a Postgres warehouse for sell-in and buyer analytics.

Common sync patterns

One product catalog

Where both systems hold product or catalog data, cleaned and enriched attributes stay aligned so the store and the warehouse describe the same items.

Inventory and order status reconciled

Stock levels and order or fulfillment status move between BigQuery and Nuorder so counts and states agree across reporting and operations.

One customer master

Where both systems keep customer records, corrections in either propagate to the other so analytics and the storefront share one identity.

What you can sync between BigQuery and Nuorder

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.

BigQuery objects Nuorder objects How this pairing syncs
Datasets Organizational container — you pick which dataset’s tables to sync. Inventory (ATS) Available-to-sell stock levels updated via /api/inventory/{id} (PUT); usually written from a warehouse or ERP into NuORDER so buyers see accurate availability. Datasets is specific to BigQuery and Inventory (ATS) to Nuorder — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Pricing / Price Lists Wholesale and retail price data attached to products through the product data feeds; read out for margin reporting or written in during catalog loads. Projects is specific to BigQuery and Pricing / Price Lists to Nuorder — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Payments Payment status and detail returned alongside Orders (the modified-orders date-range query returns the order plus its payment information); read-oriented in most syncs. Tables is specific to BigQuery and Payments to Nuorder — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Products Fluent-schema catalog records (style, SKU, images, custom fields); brands push them in via /api/product/new (POST) and update via /api/product/{id} (PUT), typically mastered in a PIM or ERP. Partitioned tables is specific to BigQuery and Products to Nuorder — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Orders Wholesale sales orders with nested line items and payment info; read via /api/orders/{status}/detail, created via /api/order/new (PUT), and advanced via /api/order/{id}/process and /cancel. Clustered tables is specific to BigQuery and Orders to Nuorder — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Nuorder

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.

BigQuery Nuorder Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

DeliveryEach detected change is written to Nuorder through its API, with automatic retries and rate-limit backoff.

Nuorder BigQuery Interval-based propagation

DetectionStacksync polls Nuorder for changes on an incremental schedule, reading only records changed since the previous pass. Polling on modified date: a date-range order endpoint returns the IDs of orders changed within a UTC start/end window.

DeliveryEach detected change is applied to BigQuery as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • Nuorder: Results are cursor-paginated via lastId/lastValue exposed in a 'next' response header (null on the last page); published request-rate limits are not documented and are governed per integration.
What ships with BigQuery ⇄ Nuorder

Connect BigQuery and Nuorder for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Nuorder connection.

Real-time

Two-way sync

Changes in BigQuery or Nuorder instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Nuorder 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 BigQuery or Nuorder record.

Observability

Monitoring

Track your BigQuery ⇄ Nuorder sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and Nuorder.

How the BigQuery and Nuorder connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

Nuorder

Integration surface
REST API (JSON), with optional SFTP flat-file data feeds
Authentication
OAuth 1.0 — consumer key/secret plus an access token/secret issued per approved application in the NuORDER Portal (Admin > Settings > API Management > Approved Applications)
Change detection
Polling on modified date: a date-range order endpoint returns the IDs of orders changed within a UTC start/end window; products and customers are pulled by last-modified date. No native webhooks.
Capabilities
read · write
Rate limits
Results are cursor-paginated via lastId/lastValue exposed in a 'next' response header (null on the last page); published request-rate limits are not documented and are governed per integration.
How it works

How to connect BigQuery to Nuorder — 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.

  1. 01

    Connect your apps

    Authenticate BigQuery and Nuorder with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    BigQuery connected
    Nuorder connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery and Nuorder 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · BigQuery ⇄ Nuorder
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    BigQuery Nuorder
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and Nuorder integration FAQ

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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 405 integrations available for BigQuery and Nuorder.

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