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Data warehouse ⇄ ERP

BigQuery to JobBOSS² integration — real-time, two-way sync

Keep BigQuery and JobBOSS² 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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Why teams connect BigQuery and JobBOSS²

Put JobBOSS²'s records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where JobBOSS² 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 JobBOSS² carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.

Stacksync syncs Shipments, Customers, Quotes / Estimates, Jobs / Work Orders from JobBOSS² 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 JobBOSS² where that is useful.

Common use cases

  • 01 Feed ML feature tables in BigQuery from operational systems on a continuous schedule
  • 02 Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • 03 Keep customer and vendor records consistent between JobBOSS² and the rest of the stack
  • 04 Sync quotes and jobs from JobBOSS² to a CRM so estimators and sales share live status on make-to-order work

Common sync patterns

Write-back where JobBOSS² exposes writable fields

Classifications or reference values computed in BigQuery sync back onto the corresponding records in JobBOSS².

Where JobBOSS² 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 JobBOSS² 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 JobBOSS²

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 JobBOSS² objects How this pairing syncs
Projects Connection scope: the service account grants access per project. Time Entries Shop-floor time data consolidates into costing and payroll reporting. Projects is specific to BigQuery and Time Entries to JobBOSS² — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Invoices Billing documents flow to accounting and BI systems. Tables is specific to BigQuery and Invoices to JobBOSS² — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Shipments Shipment records close the loop to customers and CRM records. Partitioned tables is specific to BigQuery and Shipments to JobBOSS² — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Customers Customer records sync with CRM accounts so sales and the shop share one file. Clustered tables is specific to BigQuery and Customers to JobBOSS² — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Quotes / Estimates Estimating records sync to CRM pipelines so quote status is visible outside the ERP. Datasets is specific to BigQuery and Quotes / Estimates to JobBOSS² — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and JobBOSS²

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.

BigQuery JobBOSS² Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

DeliveryEach detected change is written to JobBOSS² through its API, with automatic retries and rate-limit backoff.

JobBOSS² BigQuery Interval-based propagation

DetectionStacksync polls JobBOSS² for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

DeliveryEach detected change is applied to BigQuery as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • BigQuery: 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.
  • JobBOSS²: Subject to the platform's API rate limits.
What ships with BigQuery ⇄ JobBOSS²

Connect BigQuery and JobBOSS² for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–JobBOSS² connection.

Real-time

Two-way sync

Changes in BigQuery or JobBOSS² instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or JobBOSS² 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 JobBOSS² record.

Observability

Monitoring

Track your BigQuery ⇄ JobBOSS² 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 JobBOSS².

How the BigQuery and JobBOSS² 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

JobBOSS²

Integration surface
REST API (vendor-provided; coverage varies by edition and deployment)
Authentication
API key or vendor-issued credentials
Change detection
Polling
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits
How it works

How to connect BigQuery to JobBOSS² — 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 JobBOSS² 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
    JobBOSS² connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery and JobBOSS² 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 ⇄ JobBOSS²
    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 JobBOSS²
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and JobBOSS² integration FAQ

SECURITY

Security teams trust 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.

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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 296 integrations available for BigQuery and JobBOSS².

Popular · 4 of 296
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