Two-way sync
Changes in Google Cloud Platform or Sage X3 instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and Sage X3 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Sage X3 carries financials, operations, workforce data, or all three, the analysis belongs in Google Cloud Platform next to everything else the company measures.
Stacksync syncs Stock / Inventory by site, Bills of Material, GL Journals, Deliveries from Sage X3 into tables in Google Cloud Platform continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Google Cloud Platform can be written back to fields in Sage X3 where that is useful.
Combine Sage X3's records with data synced from other systems in Google Cloud Platform for consolidated views no single system can produce.
Classifications or reference values computed in Google Cloud Platform sync back onto the corresponding records in Sage X3.
Financial records land in Google Cloud Platform as they change, so period-end reporting queries current numbers rather than last night's extract.
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.
| Google Cloud Platform objects | Sage X3 objects | How this pairing syncs | |
|---|---|---|---|
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Sales Orders Order documents written from external channels and read for fulfillment status. | BigQuery datasets is specific to Google Cloud Platform and Sales Orders to Sage X3 — each maps to any object or custom field on the other side. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Purchase Orders Procurement documents synced with supplier-facing systems. | BigQuery tables is specific to Google Cloud Platform and Purchase Orders to Sage X3 — each maps to any object or custom field on the other side. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Work Orders Production orders read by MES and scheduling integrations. | Cloud SQL databases is specific to Google Cloud Platform and Work Orders to Sage X3 — each maps to any object or custom field on the other side. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Stock / Inventory by site On-hand and allocated quantities per site, synced to storefronts and WMS. | Cloud Storage objects is specific to Google Cloud Platform and Stock / Inventory by site to Sage X3 — each maps to any object or custom field on the other side. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Bills of Material Product structures read for planning and costing. | Pub/Sub topics is specific to Google Cloud Platform and Bills of Material to Sage X3 — each maps to any object or custom field on the other side. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | GL Journals Financial entries replicated to warehouses for group reporting. | Firestore documents is specific to Google Cloud Platform and GL Journals to Sage X3 — 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.
DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.
DeliveryEach detected change is applied to Sage X3 as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Sage X3 for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled polling.
DeliveryEach detected change is applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Sage X3 connection.
Changes in Google Cloud Platform or Sage X3 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Sage X3 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Platform or Sage X3 record.
Track your Google Cloud Platform ⇄ Sage X3 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Sage X3.
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 Google Cloud Platform and Sage X3 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 Google Cloud Platform and Sage X3 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 Google Cloud Platform and Sage X3: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's BigQuery datasets and BigQuery tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Google Cloud Platform: BigQuery is append-oriented: row mutations go through DML or the Storage Write API, and streamed rows pass through a buffer before some operations can touch them. Sage X3: X3 runs on Oracle or SQL Server, so read-only SQL access to the underlying database is a common on-prem pattern for analytics extraction. Stacksync's field mapping accounts for these differences between Google Cloud Platform and Sage X3 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 Google Cloud Platform and Sage X3 records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud Platform and Sage X3 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Platform–Sage X3 integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud Platform and Sage X3. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Cloud Platform: Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables. On Sage X3: Scheduled polling; no general webhook surface on the classic web services layer. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 541 integrations available for Google Cloud Platform and Sage X3.