Two-way sync
Changes in Bigcommerce or Rockset instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce and Rockset in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Rockset is the analytical store where the business joins, models, and reports on its data; Bigcommerce 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 Workspaces, Query Lambdas, Aliases, Integrations in Rockset with Inventory, Price Lists, Shipments, Products in Bigcommerce 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.
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 Bigcommerce land in Rockset as they change, so dashboards and models read current data instead of last night's export.
Segments, lifetime value, and scores built in Rockset write onto the matching records in Bigcommerce, so merchandising and messaging act on warehouse logic.
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 | Rockset objects | How this pairing syncs | |
|---|---|---|---|
| Shipments Order shipments with tracking numbers; created in BigCommerce from a 3PL or fulfillment system as packages ship. | Workspaces Namespaces that group collections and query lambdas per team or environment. | Shipments is specific to Bigcommerce and Workspaces to Rockset — 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. | Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | Products is specific to Bigcommerce and Query Lambdas to Rockset — each maps to any object or custom field on the other side. | |
| Variants and SKUs Per-variant pricing and inventory; synced to keep stock and SKU data aligned with an ERP or WMS at the option level. | Aliases Stable names that point at collections, used to swap datasets without changing queries. | Variants and SKUs is specific to Bigcommerce and Aliases to Rockset — each maps to any object or custom field on the other side. | |
| Orders V2 Orders API header, line items, and shipping/billing addresses; read into an ERP or accounting system, with status written back. | Integrations Managed source connections (databases, streams, object storage) feeding collections. | Orders is specific to Bigcommerce and Integrations to Rockset — each maps to any object or custom field on the other side. | |
| Customers V3 customer accounts, customer groups, and addresses; synced two-way with a CRM so storefront and GTM records match. | Virtual Instances Isolated compute units that separate ingest from query workloads. | Customers is specific to Bigcommerce and Virtual Instances to Rockset — each maps to any object or custom field on the other side. | |
| Categories Catalog V3 category tree; mapped for merchandising and kept aligned with a product master or PIM. | Collections Schemaless document containers that ingested and synced records land in. | Categories is specific to Bigcommerce and Collections to Rockset — 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 Rockset as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Rockset for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL queries on timestamp fields.
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–Rockset connection.
Changes in Bigcommerce or Rockset instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce or Rockset 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 Rockset record.
Track your Bigcommerce ⇄ Rockset sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce and Rockset.
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 Rockset 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 Rockset 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 Rockset: authenticate both systems, choose the objects to sync (such as Bigcommerce's Shipments and Products), 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 Bigcommerce and Rockset: One customer master; Live analytics on store activity; Where Bigcommerce accepts writes: push computed attributes back. Where both systems keep customer records, corrections in either propagate to the other so analytics and the storefront share one identity.
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). Rockset: REST API (SQL over HTTP, plus a document Write API). Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
Rockset: Ingest is schemaless: JSON documents are indexed as-is with dynamic typing, so upstream schema drift does not break the pipeline. 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 Bigcommerce and Rockset 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 Bigcommerce and Rockset 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 460 integrations available for Bigcommerce and Rockset.