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Data warehouse ⇄ Business productivity

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

Keep BigQuery and Servicemax 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 Servicemax

Get the data locked inside Servicemax into BigQuery as live tables, and send results back where Servicemax can use them, without writing a pipeline.

Whatever Servicemax is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs Stock History, Accounts, Contacts, Cases from Servicemax into tables in BigQuery continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in BigQuery can also be written back into fields in Servicemax where the tool can use them.

Common use cases

  • 01 Sync Work Orders (SVMXC__Service_Order__c) and Work Details bi-directionally with Postgres so ops and analytics teams read and write field-service data in plain SQL.
  • 02 Keep Installed Products (SVMXC__Installed_Product__c) aligned with an asset or IoT database for warranty, entitlement, and service-history reporting.
  • 03 Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • 04 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools

Common sync patterns

History that outlives the tool

A continuously synced copy in BigQuery preserves a queryable record even as data ages out of Servicemax or gets changed inside it.

Analytics on Servicemax's data

Records and events from Servicemax land in BigQuery as queryable tables, current within seconds and ready to join with the rest of the warehouse.

Cross-tool reporting

Combine Servicemax's data with data from every other synced system to answer questions no single tool can.

What you can sync between BigQuery and Servicemax

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 Servicemax objects How this pairing syncs
Partitioned tables Synced like regular tables; partition columns map to target fields. Work Orders SVMXC__Service_Order__c; the core field-service job record for install, repair, and maintenance; synced two-way with databases and pushed to ERPs at close. Partitioned tables is specific to BigQuery and Work Orders to Servicemax — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Work Details SVMXC__Service_Order_Line__c; line items on a Work Order for labor, parts used, and expenses; read out for billing or written back with usage. Clustered tables is specific to BigQuery and Work Details to Servicemax — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Installed Products SVMXC__Installed_Product__c; the installed-base asset record driving entitlement and service history; synced with asset and IoT databases. Datasets is specific to BigQuery and Installed Products to Servicemax — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Service Contracts SVMXC__Service_Contract__c; coverage and entitlement agreements; synced to warehouses for renewal, SLA, and warranty reporting. Projects is specific to BigQuery and Service Contracts to Servicemax — 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. Stock History SVMXC__Stock_History__c; append-only log of inventory transactions (RMA, shipment, parts receipt); read out for parts and inventory analytics. Tables is specific to BigQuery and Stock History to Servicemax — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Servicemax

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 Servicemax 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 Servicemax through its API, with automatic retries and rate-limit backoff.

Servicemax BigQuery Sub-second propagation

DetectionChanges in Servicemax are captured at the source via change data capture — no polling loop against its API. Salesforce mechanisms — Apex triggers or polling on SystemModstamp/LastModifiedDate, with Change Data Capture / Platform Events available per object.

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.
  • Servicemax: Governed by the Salesforce org-wide daily API request allocation, shared across all integrations and scaled by edition and license count.
What ships with BigQuery ⇄ Servicemax

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Servicemax 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 Servicemax record.

Observability

Monitoring

Track your BigQuery ⇄ Servicemax 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 Servicemax.

How the BigQuery and Servicemax 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

Servicemax

Integration surface
Salesforce REST, SOAP, and Bulk APIs (ServiceMax is a managed package on the Salesforce platform)
Authentication
Salesforce OAuth login via a user with API access; the connecting profile needs object and field permissions on ServiceMax's SVMXC__ objects
Change detection
Salesforce mechanisms — Apex triggers or polling on SystemModstamp/LastModifiedDate, with Change Data Capture / Platform Events available per object where enabled
Capabilities
read · write · CDC
Rate limits
Governed by the Salesforce org-wide daily API request allocation, shared across all integrations and scaled by edition and license count
How it works

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

    Choose tables

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

BigQuery and Servicemax 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 547 integrations available for BigQuery and Servicemax.

Popular · 7 of 547
All BigQuery integrations All Servicemax integrations Browse all integrations
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