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Data warehouse ⇄ ERP

BigQuery to Rootstock ERP integration — real-time, two-way sync

Keep BigQuery 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect BigQuery and Rootstock ERP

Put Rootstock ERP's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where Rootstock ERP can use them.

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 BigQuery next to everything else the company measures.

Stacksync syncs Receipts and Shipments, Salesforce Accounts and Contacts, Sales Orders, Work Orders from Rootstock ERP into tables in BigQuery continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in BigQuery can be written back to fields in Rootstock ERP where that is useful.

Common use cases

  • Feed ML feature tables in BigQuery from operational systems on a continuous schedule
  • Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • Push confirmed sales orders to a 3PL or WMS and write shipment confirmations back to Rootstock.
  • Replicate work order and inventory data to a Postgres database or warehouse for shop-floor and planning analytics.

Write-back where Rootstock ERP exposes writable fields

Classifications or reference values computed in BigQuery sync back onto the corresponding records in Rootstock ERP.

Where Rootstock ERP holds the books: finance reporting from live data

Financial records land in BigQuery as they change, so period-end reporting queries current numbers rather than last night's extract.

Where Rootstock ERP is the HR system of record: workforce analytics

Worker and organization data syncs into BigQuery for headcount, cost, and planning analysis alongside other company data.

What you can sync between BigQuery and Rootstock ERP

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.

BigQuery objects Rootstock ERP objects
Projects Connection scope: the service account grants access per project. Purchase Orders Procurement documents synced with supplier portals and AP systems.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Items / Products The manufacturing item master, kept aligned with e-commerce and PLM systems.
Partitioned tables Synced like regular tables; partition columns map to target fields. Bills of Material Multi-level product structures read for costing and planning integrations.
Clustered tables Supported; clustering is transparent to the sync. Inventory Balances On-hand quantities by site and location, synced to storefronts and WMS.
Datasets Organizational container — you pick which dataset’s tables to sync. Receipts and Shipments Inbound and outbound transactions synced to logistics and 3PL systems.
What ships with BigQuery ⇄ Rootstock ERP

Connect BigQuery and Rootstock ERP for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Rootstock ERP connection.

Real-time

Two-way sync

Changes in BigQuery or Rootstock ERP instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Rootstock ERP data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single BigQuery or Rootstock ERP record.

Observability

Monitoring

Track your BigQuery ⇄ Rootstock ERP sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and Rootstock ERP.

How the BigQuery and Rootstock ERP connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

Rootstock ERP

Integration surface
Salesforce Platform APIs (REST, SOAP, Bulk) — Rootstock data lives in Salesforce custom objects
Authentication
OAuth 2.0 (standard Salesforce connected app flows)
Change detection
Salesforce Change Data Capture on Rootstock custom objects where enabled (entity selection limits apply); SOQL polling on SystemModstamp as fallback
Capabilities
read · write · CDC
Rate limits
Consumes the Salesforce org's daily API request allocation, shared with other integrations
How it works

How to connect BigQuery to Rootstock ERP — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate BigQuery 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    BigQuery connected
    Rootstock ERP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · BigQuery ⇄ Rootstock ERP
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    BigQuery Rootstock ERP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and Rootstock ERP integration FAQ

SECURITY

Security teams love Stacksync

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.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for BigQuery and Rootstock ERP.

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