Real-time
Two-way sync
Changes in Servicemax or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Data warehouse
Servicemax to StarRocks integration — real-time, two-way sync
Keep Servicemax and StarRocks 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Servicemax and StarRocks
Get the data locked inside Servicemax into StarRocks 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 Cases, Products, Work Orders, Work Details from Servicemax into tables in StarRocks continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in StarRocks can also be written back into fields in Servicemax where the tool can use them.
Common use cases
- 01 Consolidate Service Contracts and entitlement data into a warehouse for renewal forecasting and SLA compliance dashboards.
- 02 Mirror Accounts and Contacts between ServiceMax and the CRM system of record so customer and site data stays consistent.
- 03 Continuously apply upserts from operational databases into Primary Key tables to keep analytics current
- 04 Serve customer-facing analytics from SaaS data synced into one analytical store
Common sync patterns
Where Servicemax accepts updates: operational write-back
Segments, scores, or reference values computed in StarRocks sync back onto records in Servicemax, putting analysis where the work happens.
History that outlives the tool
A continuously synced copy in StarRocks 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 StarRocks as queryable tables, current within seconds and ready to join with the rest of the warehouse.
What you can sync between Servicemax and StarRocks
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.
| Servicemax objects | StarRocks objects | How this pairing syncs | |
|---|---|---|---|
| Stock History SVMXC__Stock_History__c; append-only log of inventory transactions (RMA, shipment, parts receipt); read out for parts and inventory analytics. | Databases Top-level namespaces addressed exactly as in MySQL clients. | Stock History is specific to Servicemax and Databases to StarRocks — each maps to any object or custom field on the other side. | |
| Accounts Standard Salesforce Account; customer and site company records; synced two-way with CRM and database customer tables. | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | Accounts is specific to Servicemax and Tables to StarRocks — each maps to any object or custom field on the other side. | |
| Contacts Standard Salesforce Contact; people linked to Accounts and service sites; synced with CRM and support person records. | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | Contacts is specific to Servicemax and Materialized views to StarRocks — each maps to any object or custom field on the other side. | |
| Cases Standard Salesforce Case; support records that often precede a Work Order; synced with help desk tools and reporting databases. | Views Logical views for shaping analytical reads. | Cases is specific to Servicemax and Views to StarRocks — each maps to any object or custom field on the other side. | |
| Products Standard Salesforce Product2; catalog of serviceable products and spare parts referenced by Installed Products and Work Details. | Partitions Time or range partitions that scope loads and retention. | Products is specific to Servicemax and Partitions to StarRocks — each maps to any object or custom field on the other side. | |
| 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. | Columns Columnar storage with types mapped from source systems during sync. | Work Orders is specific to Servicemax and Columns to StarRocks — each maps to any object or custom field on the other side. |
How changes propagate between Servicemax and StarRocks
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.
Servicemax StarRocks 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 StarRocks as a row-level write, with types converted between the two schemas.
StarRocks Servicemax Interval-based propagation
DetectionStacksync polls StarRocks for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling when reading.
DeliveryEach detected change is written to Servicemax through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Servicemax: Governed by the Salesforce org-wide daily API request allocation, shared across all integrations and scaled by edition and license count.
- StarRocks: Ingestion throughput is bounded by cluster resources rather than API quotas.
What ships with Servicemax ⇄ StarRocks
Connect Servicemax and StarRocks for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Servicemax–StarRocks connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Servicemax or StarRocks 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 Servicemax or StarRocks record.
Observability
Monitoring
Track your Servicemax ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Servicemax and StarRocks.
How the Servicemax and StarRocks connectors work
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
StarRocks
- Integration surface
- MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion
- Authentication
- Database credentials (MySQL-compatible username/password)
- Change detection
- Query-based polling when reading; StarRocks is most often the destination side of a sync
- Capabilities
- read · write
- Rate limits
- Ingestion throughput is bounded by cluster resources rather than API quotas
How it works
How to connect Servicemax to StarRocks — 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.
- 01
Connect your apps
Authenticate Servicemax and StarRocks with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Servicemax
connected
StarRocks
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Servicemax and StarRocks 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.
objects · Servicemax ⇄ StarRocksCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Servicemax StarRocksCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Servicemax and StarRocks integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Servicemax and StarRocks: authenticate both systems, choose the objects to sync (such as Servicemax's Stock History and Accounts), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Servicemax and StarRocks connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Servicemax–StarRocks integration in-house.
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Yes — Stacksync ships production-grade connectors for both Servicemax and StarRocks. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Servicemax: Salesforce mechanisms — Apex triggers or polling on SystemModstamp/LastModifiedDate, with Change Data Capture / Platform Events available per object where enabled. On StarRocks: Query-based polling when reading; StarRocks is most often the destination side of a sync. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Servicemax side: Cases, Products, Work Orders, Work Details, plus custom fields where Servicemax exposes them. On the StarRocks side: Partitions, Columns, Databases, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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.
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:
Related integrations
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StarRocks ⇄ Monday -
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StarRocks ⇄ Quip
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