Two-way sync
Changes in Google Cloud Platform or Rootstock ERP instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and Rootstock ERP 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 Rootstock ERP carries financials, operations, workforce data, or all three, the analysis belongs in Google Cloud Platform next to everything else the company measures.
Stacksync syncs Sales Orders, Work Orders, Purchase Orders, Items / Products from Rootstock ERP 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 Rootstock ERP where that is useful.
Combine Rootstock ERP'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 Rootstock ERP.
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 | Rootstock ERP objects | |
|---|---|---|
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Items / Products The manufacturing item master, kept aligned with e-commerce and PLM systems. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Bills of Material Multi-level product structures read for costing and planning integrations. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Inventory Balances On-hand quantities by site and location, synced to storefronts and WMS. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Receipts and Shipments Inbound and outbound transactions synced to logistics and 3PL systems. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Salesforce Accounts and Contacts Shared CRM masters in the same org, so customer data needs no separate ERP sync. | |
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Sales Orders Order headers and lines synced to fulfillment, invoicing, and reporting systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Rootstock ERP connection.
Changes in Google Cloud Platform or Rootstock ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Rootstock ERP 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 Rootstock ERP record.
Track your Google Cloud Platform ⇄ Rootstock ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Rootstock ERP.
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 Rootstock ERP 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 Rootstock ERP 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 Rootstock ERP: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's BigQuery tables and Cloud SQL databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Google Cloud Platform side: Firestore documents, Spanner tables, BigQuery datasets, BigQuery tables, plus custom fields where Google Cloud Platform exposes them. On the Rootstock ERP side: Sales Orders, Work Orders, Purchase Orders, Items / Products. 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 Rootstock ERP: Group reporting across systems; Write-back where Rootstock ERP exposes writable fields; Where Rootstock ERP holds the books: finance reporting from live data. Combine Rootstock ERP's records with data synced from other systems in Google Cloud Platform for consolidated views no single system can produce.
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. Rootstock ERP: Salesforce Platform APIs (REST, SOAP, Bulk) — Rootstock data lives in Salesforce custom objects. Authentication: OAuth 2.0 (standard Salesforce connected app flows). Stacksync manages authentication, retries, and rate limits on both sides.
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. Rootstock ERP: Rootstock is built natively on the Salesforce Platform, so ERP records are managed-package custom objects queryable with SOQL alongside CRM data. Stacksync's field mapping accounts for these differences between Google Cloud Platform and Rootstock ERP 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 Rootstock ERP.