Two-way sync
Changes in Google Cloud Platform or Sage 300 instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and Sage 300 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 300 carries financials, operations, workforce data, or all three, the analysis belongs in Google Cloud Platform next to everything else the company measures.
Stacksync syncs Order Entry Orders, Purchase Orders, Inventory Items, AR Invoices and Receipts from Sage 300 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 300 where that is useful.
Financial records land in Google Cloud Platform as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Google Cloud Platform for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Google Cloud Platform, joinable with sales and finance 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.
| Google Cloud Platform objects | Sage 300 objects | |
|---|---|---|
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | AR Customers Receivables customer master synced to CRMs and billing tools. | |
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | AP Vendors Payables vendor master synced with procurement and payment systems. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | GL Accounts Chart of accounts read for transaction mapping across integrations. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Journal Batches GL entries staged in batches that must be posted; a common write target for external systems. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Order Entry Orders Sales orders written from e-commerce or EDI feeds. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Purchase Orders Procurement documents read for spend visibility and receiving. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Sage 300 connection.
Changes in Google Cloud Platform or Sage 300 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Sage 300 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 300 record.
Track your Google Cloud Platform ⇄ Sage 300 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 300.
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 300 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 300 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 300: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's Spanner tables and BigQuery datasets), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Google Cloud Platform side: BigQuery tables, Cloud SQL databases, Cloud Storage objects, Pub/Sub topics, plus custom fields where Google Cloud Platform exposes them. On the Sage 300 side: Order Entry Orders, Purchase Orders, Inventory Items, AR Invoices and Receipts. 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 Google Cloud Platform and Sage 300: Where Sage 300 holds the books: finance reporting from live data; Where Sage 300 is the HR system of record: workforce analytics; Where Sage 300 runs operations: order and supply analysis. Financial records land in Google Cloud Platform as they change, so period-end reporting queries current numbers rather than last night's extract.
Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. Sage 300: Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem. Authentication: Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads. Stacksync manages authentication, retries, and rate limits on both sides.
Google Cloud Platform: Authentication is uniform across services through IAM service accounts, so one credential model covers BigQuery, Cloud SQL, Cloud Storage, and Pub/Sub. Sage 300: Sage 300 (formerly Accpac) stores each company's data in its own SQL Server database with module-prefixed tables, so direct SQL reads are a common integration path on-prem. Stacksync's field mapping accounts for these differences between Google Cloud Platform and Sage 300 without custom code.
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 386 integrations available for Google Cloud Platform and Sage 300.