Two-way sync
Changes in Bigcommerce or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce and SAP ASE (Sybase) 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 Customers, Categories, Brands, Inventory from Bigcommerce into SAP ASE (Sybase) 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 SAP ASE (Sybase), 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.
Orders and their status become rows in SAP ASE (Sybase) for routing, fulfillment, and reporting, without polling the platform.
Choose exactly which tables and fields may flow from SAP ASE (Sybase) back into Bigcommerce, keeping the store authoritative on what it owns.
Records from Bigcommerce, whether products, orders, customers, or inventory, live in SAP ASE (Sybase) as ordinary tables or collections, joinable with the rest of your data.
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 | SAP ASE (Sybase) objects | How this pairing syncs | |
|---|---|---|---|
| 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 T-SQL routines that encapsulate business logic; often invoked instead of direct table writes. | Brands is specific to Bigcommerce and Stored Procedures to SAP ASE (Sybase) — 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. | Databases and Schemas Namespaces that scope sync configuration and permissions. | Inventory is specific to Bigcommerce and Databases and Schemas to SAP ASE (Sybase) — 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. | Triggers Server-side hooks sometimes used to populate change-capture tables for syncs. | Price Lists is specific to Bigcommerce and Triggers to SAP ASE (Sybase) — 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. | Indexes Access paths that keep keyed polling queries efficient on large OLTP tables. | Shipments is specific to Bigcommerce and Indexes to SAP ASE (Sybase) — 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. | Tables The core sync unit; rows are read and written with standard SQL. | Products is specific to Bigcommerce and Tables to SAP ASE (Sybase) — 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. | Views Read-only projections used to shape data for extraction without touching base tables. | Variants and SKUs is specific to Bigcommerce and Views to SAP ASE (Sybase) — 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 SAP ASE (Sybase) as a row-level write, with types converted between the two schemas.
DetectionStacksync polls SAP ASE (Sybase) for changes on an incremental schedule, reading only records changed since the previous pass. Timestamp or key-based polling and trigger-based capture.
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–SAP ASE (Sybase) connection.
Changes in Bigcommerce or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce or SAP ASE (Sybase) 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 SAP ASE (Sybase) record.
Track your Bigcommerce ⇄ SAP ASE (Sybase) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce and SAP ASE (Sybase).
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 SAP ASE (Sybase) 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 SAP ASE (Sybase) 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 SAP ASE (Sybase): authenticate both systems, choose the objects to sync (such as Bigcommerce's Brands and Inventory), 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 SAP ASE (Sybase): Timestamp or key-based polling and trigger-based capture; log-based replication requires SAP Replication Server components. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the SAP ASE (Sybase) side: Indexes, Tables, Views, Stored Procedures, plus custom fields where SAP ASE (Sybase) exposes them. On the Bigcommerce side: Customers, Categories, Brands, Inventory. 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 SAP ASE (Sybase): Order data where your code can use it; Controlled write-back; Read the store's data with a query. Orders and their status become rows in SAP ASE (Sybase) for routing, fulfillment, and reporting, without polling the platform.
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). SAP ASE (Sybase): SQL over the TDS wire protocol; JDBC (jConnect) and ODBC drivers. Authentication: Database credentials (username/password), optionally backed by LDAP or Kerberos. 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 424 integrations available for Bigcommerce and SAP ASE (Sybase).