Two-way sync
Changes in Bigcommerce or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce and Dynamo DB 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 Shipments, Products, Variants and SKUs, Orders from Bigcommerce into Dynamo 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 Dynamo 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.
Updates in Bigcommerce arrive as row changes in Dynamo DB, so jobs and triggers can respond the moment an order, price, or stock level changes.
Prices, stock levels, or product details maintained in Dynamo DB sync back onto Bigcommerce, so the storefront shows what your systems treat as true.
Orders and their status become rows in Dynamo DB for routing, fulfillment, and reporting, without polling the platform.
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.
| Bigcommerce objects | Dynamo DB objects | How this pairing syncs | |
|---|---|---|---|
| Categories Catalog V3 category tree; mapped for merchandising and kept aligned with a product master or PIM. | Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | Categories is specific to Bigcommerce and Global Secondary Indexes to Dynamo DB — each maps to any object or custom field on the other side. | |
| Brands Catalog V3 brand records linked to products; kept aligned with a product master or PIM so brand names and pages stay consistent. | DynamoDB Streams Ordered item-level change records consumed for incremental sync. | Brands is specific to Bigcommerce and DynamoDB Streams to Dynamo DB — each maps to any object or custom field on the other side. | |
| Inventory Product- or variant-level stock, plus multi-location counts via the V3 Inventory API; written from a WMS to reflect on-hand quantities. | Global Tables Multi-region replicas relevant when syncs must read from a specific region. | Inventory is specific to Bigcommerce and Global Tables to Dynamo DB — each maps to any object or custom field on the other side. | |
| Price Lists V3 price lists and records driving customer-group and B2B pricing; pushed from an ERP so tiered prices stay current. | Tables The top-level containers a sync targets; each table is addressed independently. | Price Lists is specific to Bigcommerce and Tables to Dynamo DB — each maps to any object or custom field on the other side. | |
| Shipments Order shipments with tracking numbers; created in BigCommerce from a 3PL or fulfillment system as packages ship. | Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | Shipments is specific to Bigcommerce and Items to Dynamo DB — each maps to any object or custom field on the other side. | |
| 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. | Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync. | Products is specific to Bigcommerce and Attributes to Dynamo DB — 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.
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 Dynamo DB as a row-level write, with types converted between the two schemas.
DetectionChanges in Dynamo DB are captured at the source via change data capture — no polling loop against its API. Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration.
DeliveryEach detected change is written to Bigcommerce through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Bigcommerce–Dynamo DB connection.
Changes in Bigcommerce or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce or Dynamo DB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Bigcommerce or Dynamo DB record.
Track your Bigcommerce ⇄ Dynamo DB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce and Dynamo DB.
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 Bigcommerce and Dynamo DB 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 Bigcommerce and Dynamo DB 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 Bigcommerce and Dynamo DB: authenticate both systems, choose the objects to sync (such as Bigcommerce's Categories and Brands), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Dynamo DB side: Global Secondary Indexes, DynamoDB Streams, Global Tables, Tables, plus custom fields where Dynamo DB exposes them. On the Bigcommerce side: Shipments, Products, Variants and SKUs, Orders. 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 Bigcommerce and Dynamo DB: React to store changes; Keep catalog and inventory current; Order data where your code can use it. Updates in Bigcommerce arrive as row changes in Dynamo DB, so jobs and triggers can respond the moment an order, price, or stock level changes.
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). Dynamo DB: Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries. Authentication: AWS IAM credentials with SigV4 request signing. Stacksync manages authentication, retries, and rate limits on both sides.
Dynamo DB: Items are schemaless apart from the mandatory partition key (and optional sort key), so sync field mappings are defined per attribute rather than from a fixed schema. Bigcommerce: Rate-limit quota refreshes every 30 seconds rather than continuously, so a burst of order events during a sale can exhaust the window. Stacksync's field mapping accounts for these differences between Bigcommerce and Dynamo DB 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 408 integrations available for Bigcommerce and Dynamo DB.