Two-way sync
Changes in Google Cloud Spanner or Servicemax instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Spanner 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.
Engineers integrate with tools like Servicemax through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Google Cloud Spanner.
Stacksync mirrors Accounts, Contacts, Cases, Products from Servicemax into Databases, Tables, Rows, Interleaved tables in Google Cloud Spanner and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Servicemax, so the tool and the database never disagree.
Records from Servicemax are ordinary rows in Google Cloud Spanner; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Google Cloud Spanner and Stacksync propagates the change into Servicemax, replacing custom integration code.
Updates in Servicemax arrive as row changes in Google Cloud Spanner, so triggers, jobs, and services can respond in near real time.
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 Spanner objects | Servicemax objects | How this pairing syncs | |
|---|---|---|---|
| Change streams Capture inserts, updates, and deletes for log-style change data capture. | 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. | Change streams is specific to Google Cloud Spanner and Work Orders to Servicemax — each maps to any object or custom field on the other side. | |
| Views Read-only projections useful for shaping data before it leaves Spanner. | 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. | Views is specific to Google Cloud Spanner and Work Details to Servicemax — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope schema and sync configuration. | Installed Products SVMXC__Installed_Product__c; the installed-base asset record driving entitlement and service history; synced with asset and IoT databases. | Databases is specific to Google Cloud Spanner and Installed Products to Servicemax — each maps to any object or custom field on the other side. | |
| Tables Relational tables mapped one-to-one to sync targets. | Service Contracts SVMXC__Service_Contract__c; coverage and entitlement agreements; synced to warehouses for renewal, SLA, and warranty reporting. | Tables is specific to Google Cloud Spanner and Service Contracts to Servicemax — each maps to any object or custom field on the other side. | |
| Rows The unit of read and write in each sync cycle, keyed by primary key. | Stock History SVMXC__Stock_History__c; append-only log of inventory transactions (RMA, shipment, parts receipt); read out for parts and inventory analytics. | Rows is specific to Google Cloud Spanner and Stock History to Servicemax — each maps to any object or custom field on the other side. | |
| Interleaved tables Child rows physically co-located with parents; synced as related records. | Accounts Standard Salesforce Account; customer and site company records; synced two-way with CRM and database customer tables. | Interleaved tables is specific to Google Cloud Spanner and Accounts to Servicemax — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Google Cloud Spanner are captured at the source via change data capture — no polling loop against its API. Change streams (log-style CDC), or timestamp-based polling queries.
DeliveryEach detected change is written to Servicemax through its API, with automatic retries and rate-limit backoff.
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 Google Cloud Spanner as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Spanner–Servicemax connection.
Changes in Google Cloud Spanner or Servicemax instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Spanner or Servicemax 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 Spanner or Servicemax record.
Track your Google Cloud Spanner ⇄ Servicemax sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Spanner and Servicemax.
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 Spanner 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.
Pick the Google Cloud Spanner 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.
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 Spanner and Servicemax: authenticate both systems, choose the objects to sync (such as Google Cloud Spanner's Change streams and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Google Cloud Spanner: GRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects). Authentication: Google Cloud IAM (service accounts). Servicemax: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Servicemax: Custom SVMXC__ objects and fields must be visible and writable to the connecting Salesforce profile via field-level security and object permissions. Google Cloud Spanner: It supports two SQL dialects: GoogleSQL and a PostgreSQL-interface dialect chosen at database creation. Stacksync's field mapping accounts for these differences between Google Cloud Spanner and Servicemax without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Google Cloud Spanner and Servicemax records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud Spanner and Servicemax connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Spanner–Servicemax integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud Spanner and Servicemax. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 432 integrations available for Google Cloud Spanner and Servicemax.