Two-way sync
Changes in Google Cloud Platform or Nuorder instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform 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.
Google Cloud Platform 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 Spanner tables, BigQuery datasets, BigQuery tables, Cloud SQL databases in Google Cloud Platform with Companies, Line Items, Inventory (ATS), Pricing / Price Lists 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.
Stock levels and order or fulfillment status move between Google Cloud Platform and Nuorder so counts and states agree across reporting and operations.
Where both systems keep customer records, corrections in either propagate to the other so analytics and the storefront share one identity.
Orders, products, and customer records from Nuorder land in Google Cloud Platform as they change, so dashboards and models read current data instead of last night's export.
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 Platform objects | Nuorder objects | How this pairing syncs | |
|---|---|---|---|
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Companies Retailer and customer accounts (buyers, doors); enumerated via /api/companies/codes/list and created through the customer-creation API, commonly synced with a CRM or ERP. | Pub/Sub topics is specific to Google Cloud Platform and Companies to Nuorder — each maps to any object or custom field on the other side. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Line Items SKU, quantity, and price rows nested inside each Order; the unit ERPs and fulfillment systems consume when an order is written out. | Firestore documents is specific to Google Cloud Platform and Line Items to Nuorder — each maps to any object or custom field on the other side. | |
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | 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. | Spanner tables is specific to Google Cloud Platform and Inventory (ATS) to Nuorder — each maps to any object or custom field on the other side. | |
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | 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. | BigQuery datasets is specific to Google Cloud Platform and Pricing / Price Lists to Nuorder — each maps to any object or custom field on the other side. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | 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. | BigQuery tables is specific to Google Cloud Platform and Payments to Nuorder — each maps to any object or custom field on the other side. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | 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. | Cloud SQL databases is specific to Google Cloud Platform and Products to Nuorder — 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.
DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.
DeliveryEach detected change is written to Nuorder through its API, with automatic retries and rate-limit backoff.
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 Google Cloud Platform 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 Platform–Nuorder connection.
Changes in Google Cloud Platform or Nuorder instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Nuorder 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 Platform or Nuorder record.
Track your Google Cloud Platform ⇄ Nuorder sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Nuorder.
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 Platform 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.
Pick the Google Cloud Platform 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.
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 Platform and Nuorder: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's Pub/Sub topics and Firestore documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Google Cloud Platform and Nuorder: Inventory and order status reconciled; One customer master; Live analytics on store activity. Stock levels and order or fulfillment status move between Google Cloud Platform and Nuorder so counts and states agree across reporting and operations.
Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. Nuorder: 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). Stacksync manages authentication, retries, and rate limits on both sides.
Google Cloud Platform: BigQuery is append-oriented: row mutations go through DML or the Storage Write API, and streamed rows pass through a buffer before some operations can touch them. Nuorder: Products, orders, and companies use 'fluent' schemas that can carry brand-specific custom fields, so field mappings vary by tenant. Stacksync's field mapping accounts for these differences between Google Cloud Platform and Nuorder 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 Platform and Nuorder records are not retained after a sync operation.
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 402 integrations available for Google Cloud Platform and Nuorder.