Two-way sync
Changes in Azure Cosmos DB or Servicemax instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Cosmos DB 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 Azure Cosmos DB.
Stacksync mirrors Contacts, Cases, Products, Work Orders from Servicemax into Change feed entries, Stored procedures and triggers, Databases, Containers in Azure Cosmos DB 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.
Updates in Servicemax arrive as row changes in Azure Cosmos DB, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Servicemax are ordinary rows in Azure Cosmos DB; join them, index them, and use them in application logic without touching the vendor API.
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.
| Azure Cosmos DB objects | Servicemax objects | How this pairing syncs | |
|---|---|---|---|
| Containers The unit of partitioning and throughput; each container maps to a synced collection. | Contacts Standard Salesforce Contact; people linked to Accounts and service sites; synced with CRM and support person records. | Containers is specific to Azure Cosmos DB and Contacts to Servicemax — each maps to any object or custom field on the other side. | |
| Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | Cases Standard Salesforce Case; support records that often precede a Work Order; synced with help desk tools and reporting databases. | Items (JSON documents) is specific to Azure Cosmos DB and Cases to Servicemax — each maps to any object or custom field on the other side. | |
| Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | Products Standard Salesforce Product2; catalog of serviceable products and spare parts referenced by Installed Products and Work Details. | Partition keys is specific to Azure Cosmos DB and Products to Servicemax — each maps to any object or custom field on the other side. | |
| Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | 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 feed entries is specific to Azure Cosmos DB and Work Orders to Servicemax — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | 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. | Stored procedures and triggers is specific to Azure Cosmos DB and Work Details to Servicemax — each maps to any object or custom field on the other side. | |
| Databases Top-level namespaces that scope containers and throughput provisioning. | 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 Azure Cosmos DB and Installed Products 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 Azure Cosmos DB are captured at the source via change data capture — no polling loop against its API. Built-in change feed exposing inserts and updates in order within each partition key range.
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 Azure Cosmos DB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–Servicemax connection.
Changes in Azure Cosmos DB or Servicemax instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Cosmos DB 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 Azure Cosmos DB or Servicemax record.
Track your Azure Cosmos DB ⇄ Servicemax sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Cosmos DB 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 Azure Cosmos DB 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 Azure Cosmos DB 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 Azure Cosmos DB and Servicemax: authenticate both systems, choose the objects to sync (such as Azure Cosmos DB's Containers and Items (JSON documents)), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Servicemax side: Contacts, Cases, Products, Work Orders, plus custom fields where Servicemax exposes them. On the Azure Cosmos DB side: Change feed entries, Stored procedures and triggers, Databases, Containers. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Azure Cosmos DB and Servicemax: React to changes as they happen; One integration pattern for the whole stack; Read Servicemax with a query. Updates in Servicemax arrive as row changes in Azure Cosmos DB, so triggers, jobs, and services can respond in near real time.
Azure Cosmos DB: REST API and SDKs over HTTPS (API for NoSQL, formerly the SQL API); also MongoDB, Cassandra, Gremlin, and Table API surfaces. Authentication: Account keys, resource tokens, or Microsoft Entra ID role-based access. 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. Azure Cosmos DB: Throughput is provisioned in request units per container or database, which means sync read and write volume has a direct cost and throttling dimension. Stacksync's field mapping accounts for these differences between Azure Cosmos DB and Servicemax without custom code.
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 443 integrations available for Azure Cosmos DB and Servicemax.