Skip to content
Data warehouse ⇄ ERP

BigQuery to E2 Shop System integration — real-time data sync

Keep BigQuery and E2 Shop System in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect BigQuery and E2 Shop System

Put E2 Shop System's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where E2 Shop System can use them.

E2 Shop System is a read-only source: Stacksync reads its data in real time and delivers it into BigQuery, so BigQuery always reflects the current state of E2 Shop System — without exports, scripts, or schedulers.

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 E2 Shop System carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.

Common use cases

  • Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
  • Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
  • Land quote, job cost, and time-ticket data in a warehouse for margin analysis across jobs.
  • Keep purchase order data visible to planning or supplier-facing tools without direct ERP access.

Group reporting across systems

Combine E2 Shop System's records with data synced from other systems in BigQuery for consolidated views no single system can produce.

Write-back where E2 Shop System exposes writable fields

Classifications or reference values computed in BigQuery sync back onto the corresponding records in E2 Shop System.

Where E2 Shop System 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.

What you can sync between BigQuery and E2 Shop System

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 E2 Shop System objects
Projects Connection scope: the service account grants access per project. Vendors Supplier records referenced on purchasing documents.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Parts Part masters with routings and material definitions specific to each shop.
Partitioned tables Synced like regular tables; partition columns map to target fields. Routings / Operations Per-part operation sequences that carry estimated and actual times.
Clustered tables Supported; clustering is transparent to the sync. Purchase orders Outside material and service purchases tied to jobs.
Datasets Organizational container — you pick which dataset’s tables to sync. Time tickets Labor collection records used for job costing.
What ships with BigQuery ⇄ E2 Shop System

Connect BigQuery and E2 Shop System for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–E2 Shop System connection.

Real-time

Real-time sync

Changes in BigQuery or E2 Shop System instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or E2 Shop System 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 E2 Shop System record.

Observability

Monitoring

Track your BigQuery ⇄ E2 Shop System 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 E2 Shop System.

How the BigQuery and E2 Shop System 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

E2 Shop System

Integration surface
No broadly documented public web API; integration typically works through the underlying database or application import/export, depending on deployment
Authentication
Database credentials or application-level export access on the on-premises installation
Change detection
Polling database tables or scheduled exports
Capabilities
read
Rate limits
Not API-bound; constrained by on-premises database access windows
How it works

How to connect BigQuery to E2 Shop System — 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 E2 Shop System 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
    E2 Shop System connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery and E2 Shop System 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 ⇄ E2 Shop System
    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 E2 Shop System
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

BigQuery and E2 Shop System 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 E2 Shop System.

Popular · 8 of 386
All BigQuery integrations All E2 Shop System integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own