Two-way sync
Changes in Bigcommerce or Teradata Vantage instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce and Teradata Vantage in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Teradata Vantage 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 Users, Columns, Databases, Tables in Teradata Vantage with Brands, Inventory, Price Lists, Shipments 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.
Stock levels and order or fulfillment status move between Teradata Vantage and Bigcommerce 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 Bigcommerce land in Teradata Vantage 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.
| Bigcommerce objects | Teradata Vantage objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Databases Hierarchical containers that own tables and space allocations. | Variants and SKUs is specific to Bigcommerce and Databases to Teradata Vantage — 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. | Tables The primary sync unit for both extraction and loading. | Orders is specific to Bigcommerce and Tables to Teradata Vantage — 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. | Views The conventional access layer in Teradata shops; syncs often read views rather than base tables. | Customers is specific to Bigcommerce and Views to Teradata Vantage — 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. | Macros Stored parameterized SQL that encapsulates repeatable reads. | Categories is specific to Bigcommerce and Macros to Teradata Vantage — 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. | Stored procedures Server-side logic sometimes invoked as part of load workflows. | Brands is specific to Bigcommerce and Stored procedures to Teradata Vantage — 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. | Users In Teradata, users are databases with a password, and they own objects and space. | Inventory is specific to Bigcommerce and Users to Teradata Vantage — 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 Teradata Vantage as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Teradata Vantage for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling.
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–Teradata Vantage connection.
Changes in Bigcommerce or Teradata Vantage instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce or Teradata Vantage 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 Teradata Vantage record.
Track your Bigcommerce ⇄ Teradata Vantage sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce and Teradata Vantage.
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 Teradata Vantage 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 Teradata Vantage 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 Teradata Vantage: authenticate both systems, choose the objects to sync (such as Bigcommerce's Variants and SKUs and Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Bigcommerce: Webhooks push near-real-time events (store/order/*, store/product/*, store/customer/* and more); polling uses date_modified:min/max filters on Products, Orders, and Customers. On Teradata Vantage: Query-based polling; the SQL surface exposes no externally consumable change log. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Teradata Vantage side: Users, Columns, Databases, Tables, plus custom fields where Teradata Vantage exposes them. On the Bigcommerce side: Brands, Inventory, Price Lists, Shipments. 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 Teradata Vantage: Inventory and order status reconciled; One customer master; Live analytics on store activity. Stock levels and order or fulfillment status move between Teradata Vantage and Bigcommerce so counts and states agree across reporting and operations.
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). Teradata Vantage: ANSI SQL over JDBC/ODBC/.NET drivers; REST access available through Teradata's query service. Authentication: Database credentials; LDAP or Kerberos in enterprise deployments. Stacksync manages authentication, retries, and rate limits on both sides.
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 397 integrations available for Bigcommerce and Teradata Vantage.