Two-way sync
Changes in Azure Cosmos DB or Bigcommerce instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Cosmos DB and Bigcommerce 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 Variants and SKUs, Orders, Customers, Categories from Bigcommerce into Azure Cosmos DB and keeps both sides consistent in real time. Whatever Bigcommerce holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Azure Cosmos DB, such as new prices, stock levels, or fulfillment status, sync back into Bigcommerce 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 Bigcommerce, whether products, orders, customers, or inventory, live in Azure Cosmos DB as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Bigcommerce API, rate limits, and retries.
Updates in Bigcommerce arrive as row changes in Azure Cosmos DB, 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.
| Azure Cosmos DB objects | Bigcommerce objects | How this pairing syncs | |
|---|---|---|---|
| Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | Categories Catalog V3 category tree; mapped for merchandising and kept aligned with a product master or PIM. | Partition keys is specific to Azure Cosmos DB and Categories to Bigcommerce — each maps to any object or custom field on the other side. | |
| Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | Brands Catalog V3 brand records linked to products; kept aligned with a product master or PIM so brand names and pages stay consistent. | Change feed entries is specific to Azure Cosmos DB and Brands to Bigcommerce — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | Inventory Product- or variant-level stock, plus multi-location counts via the V3 Inventory API; written from a WMS to reflect on-hand quantities. | Stored procedures and triggers is specific to Azure Cosmos DB and Inventory to Bigcommerce — each maps to any object or custom field on the other side. | |
| Databases Top-level namespaces that scope containers and throughput provisioning. | Price Lists V3 price lists and records driving customer-group and B2B pricing; pushed from an ERP so tiered prices stay current. | Databases is specific to Azure Cosmos DB and Price Lists to Bigcommerce — each maps to any object or custom field on the other side. | |
| Containers The unit of partitioning and throughput; each container maps to a synced collection. | Shipments Order shipments with tracking numbers; created in BigCommerce from a 3PL or fulfillment system as packages ship. | Containers is specific to Azure Cosmos DB and Shipments to Bigcommerce — each maps to any object or custom field on the other side. | |
| Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | Products Catalog V3 records with custom fields and images; mastered in a PIM or ERP and written to BigCommerce, or read out to a warehouse. | Items (JSON documents) is specific to Azure Cosmos DB and Products to Bigcommerce — 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.
DetectionChanges in Azure Cosmos DB are captured at the source via change data capture — no polling loop against its API. Built-in change feed exposing inserts and updates in order within each partition key range.
DeliveryEach detected change is written to Bigcommerce through its API, with automatic retries and rate-limit backoff.
DetectionBigcommerce notifies Stacksync of record changes through webhook events. Webhooks push near-real-time events (store/order/*, store/product/*, store/customer/* and more).
DeliveryEach detected change is applied to Azure Cosmos DB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–Bigcommerce connection.
Changes in Azure Cosmos DB or Bigcommerce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Cosmos DB or Bigcommerce data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure Cosmos DB or Bigcommerce record.
Track your Azure Cosmos DB ⇄ Bigcommerce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Cosmos DB and Bigcommerce.
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 Azure Cosmos DB and Bigcommerce 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 Azure Cosmos DB and Bigcommerce 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 Azure Cosmos DB and Bigcommerce: authenticate both systems, choose the objects to sync (such as Azure Cosmos DB's Partition keys and Change feed entries), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Azure Cosmos DB side: Change feed entries, Stored procedures and triggers, Databases, Containers, plus custom fields where Azure Cosmos DB exposes them. On the Bigcommerce side: Variants and SKUs, Orders, Customers, Categories. 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 Azure Cosmos DB and Bigcommerce: Read the store's data with a query; Internal tools and automations without API code; React to store changes. Records from Bigcommerce, whether products, orders, customers, or inventory, live in Azure Cosmos DB as ordinary tables or collections, joinable with the rest of your data.
Azure Cosmos DB: REST API and SDKs over HTTPS (API for NoSQL, formerly the SQL API); also MongoDB, Cassandra, Gremlin, and Table API surfaces. Authentication: Account keys, resource tokens, or Microsoft Entra ID role-based access. Bigcommerce: REST Management API (V2 and V3), plus GraphQL Storefront and Admin APIs. Authentication: OAuth API account credentials — a store-generated client ID and permanent access token sent in the X-Auth-Token header, limited to the OAuth scopes granted when the account is created (e.g. store_v2_orders, store_v2_products). Stacksync manages authentication, retries, and rate limits on both sides.
Azure Cosmos DB: The same account can be exposed through multiple wire-compatible APIs (NoSQL, MongoDB, Cassandra, Gremlin, Table), and the API choice fixes how a connector must speak to it. Bigcommerce: BigCommerce splits its API across V2 and V3 — Orders live largely in V2 while Catalog (Products, Variants, Categories) uses V3 — so a sync must map both surfaces. Stacksync's field mapping accounts for these differences between Azure Cosmos DB and Bigcommerce without custom code.
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 396 integrations available for Azure Cosmos DB and Bigcommerce.