Two-way sync
Changes in Bigcommerce or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Keep Bigcommerce and VoltDB 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 Orders, Customers, Categories, Brands from Bigcommerce into VoltDB 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 VoltDB, 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.
Choose exactly which tables and fields may flow from VoltDB back into Bigcommerce, keeping the store authoritative on what it owns.
Records from Bigcommerce, whether products, orders, customers, or inventory, live in VoltDB 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.
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 | VoltDB objects | How this pairing syncs | |
|---|---|---|---|
| Orders V2 Orders API header, line items, and shipping/billing addresses; read into an ERP or accounting system, with status written back. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | Orders is specific to Bigcommerce and Export Targets and Topics to VoltDB — 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. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | Customers is specific to Bigcommerce and Partitioned Tables to VoltDB — 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. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | Categories is specific to Bigcommerce and Replicated Tables to VoltDB — 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 Precompiled transactional units that serve as the primary write interface. | Brands is specific to Bigcommerce and Stored Procedures to VoltDB — 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. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. | Inventory is specific to Bigcommerce and Materialized Views to VoltDB — 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. | Streams Insert-only constructs that feed the export subsystem with committed rows. | Price Lists is specific to Bigcommerce and Streams to VoltDB — 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 VoltDB as a row-level write, with types converted between the two schemas.
DetectionStacksync polls VoltDB for changes on an incremental schedule, reading only records changed since the previous pass. Export streams and topics push committed changes to configured targets.
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–VoltDB connection.
Changes in Bigcommerce or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Bigcommerce or VoltDB 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 VoltDB record.
Track your Bigcommerce ⇄ VoltDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Bigcommerce and VoltDB.
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 VoltDB 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 VoltDB 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 VoltDB: authenticate both systems, choose the objects to sync (such as Bigcommerce's Orders and Customers), 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 VoltDB: Export streams and topics push committed changes to configured targets; otherwise polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the VoltDB side: Partitioned Tables, Replicated Tables, Stored Procedures, Materialized Views, plus custom fields where VoltDB exposes them. On the Bigcommerce side: Orders, Customers, Categories, Brands. 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 VoltDB: Controlled write-back; Read the store's data with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from VoltDB back into Bigcommerce, keeping the store authoritative on what it owns.
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). VoltDB: SQL over JDBC plus native client libraries and an HTTP/JSON interface. Authentication: Database credentials. 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 403 integrations available for Bigcommerce and VoltDB.