Two-way sync
Changes in Nuorder or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Nuorder and SQL Server in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.
Stacksync mirrors Products, Orders, Companies, Line Items from Nuorder into SQL Server and keeps both sides consistent in real time. Whatever Nuorder holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in SQL Server, such as new prices, stock levels, or fulfillment status, sync back into Nuorder with its validations respected.
Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.
Records from Nuorder, whether products, orders, customers, or inventory, live in SQL Server as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Nuorder API, rate limits, and retries.
Updates in Nuorder arrive as row changes in SQL Server, so jobs and triggers can respond the moment an order, price, or stock level changes.
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.
| Nuorder objects | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Databases Instance-level databases that scope a sync's reads and writes. | Products is specific to Nuorder and Databases to SQL Server — each maps to any object or custom field on the other side. | |
| 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. | Schemas Namespaces (dbo and custom) used to organize synced tables. | Orders is specific to Nuorder and Schemas to SQL Server — each maps to any object or custom field on the other side. | |
| 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. | Tables The primary sync target; rows map to records in connected systems. | Companies is specific to Nuorder and Tables to SQL Server — each maps to any object or custom field on the other side. | |
| Line Items SKU, quantity, and price rows nested inside each Order; the unit ERPs and fulfillment systems consume when an order is written out. | Views Read-side projections used as outbound sync sources. | Line Items is specific to Nuorder and Views to SQL Server — each maps to any object or custom field on the other side. | |
| 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. | Columns Field-level mapping targets with T-SQL types. | Inventory (ATS) is specific to Nuorder and Columns to SQL Server — each maps to any object or custom field on the other side. | |
| 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. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Pricing / Price Lists is specific to Nuorder and Primary and Unique Keys to SQL Server — 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.
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 SQL Server as a row-level write, with types converted between the two schemas.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
DeliveryEach detected change is written to Nuorder through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Nuorder–SQL Server connection.
Changes in Nuorder or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Nuorder or SQL Server data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Nuorder or SQL Server record.
Track your Nuorder ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Nuorder and SQL Server.
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 Nuorder and SQL Server 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 Nuorder and SQL Server 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 Nuorder and SQL Server: authenticate both systems, choose the objects to sync (such as Nuorder's Products and Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
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). SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
SQL Server: Composite primary keys are not supported (single-column, auto-generated PK required). Nuorder: Sandbox and production are separate hosts (wholesale.sandbox1.nuorder.com vs wholesale.nuorder.com), so credentials and record IDs do not carry across environments. Stacksync's field mapping accounts for these differences between Nuorder and SQL Server 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 Nuorder and SQL Server records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Nuorder and SQL Server connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Nuorder–SQL Server integration in-house.
Yes — Stacksync ships production-grade connectors for both Nuorder and SQL Server. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Nuorder and SQL Server.