Two-way sync
Changes in Postgres Heroku or Servicemax instantly reflect in both systems. No stale data, no manual imports.
Keep Postgres Heroku 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 Postgres Heroku.
Stacksync mirrors Products, Work Orders, Work Details, Installed Products from Servicemax into Follower Databases, Tables, Views, Materialized Views in Postgres Heroku 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.
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 Postgres Heroku; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Postgres Heroku and Stacksync propagates the change into Servicemax, replacing custom integration code.
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.
| Postgres Heroku objects | Servicemax objects | How this pairing syncs | |
|---|---|---|---|
| JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Service Contracts SVMXC__Service_Contract__c; coverage and entitlement agreements; synced to warehouses for renewal, SLA, and warranty reporting. | JSONB Columns is specific to Postgres Heroku and Service Contracts to Servicemax — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Stock History SVMXC__Stock_History__c; append-only log of inventory transactions (RMA, shipment, parts receipt); read out for parts and inventory analytics. | Sequences is specific to Postgres Heroku and Stock History to Servicemax — each maps to any object or custom field on the other side. | |
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Accounts Standard Salesforce Account; customer and site company records; synced two-way with CRM and database customer tables. | Follower Databases is specific to Postgres Heroku and Accounts to Servicemax — each maps to any object or custom field on the other side. | |
| Tables Standard Postgres tables; the primary two-way sync target for app data. | Contacts Standard Salesforce Contact; people linked to Accounts and service sites; synced with CRM and support person records. | Tables is specific to Postgres Heroku and Contacts to Servicemax — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Cases Standard Salesforce Case; support records that often precede a Work Order; synced with help desk tools and reporting databases. | Views is specific to Postgres Heroku and Cases to Servicemax — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Products Standard Salesforce Product2; catalog of serviceable products and spare parts referenced by Installed Products and Work Details. | Materialized Views is specific to Postgres Heroku and 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.
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Servicemax connection.
Changes in Postgres Heroku or Servicemax instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or Servicemax record.
Track your Postgres Heroku ⇄ Servicemax sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Postgres Heroku 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 Postgres Heroku 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 Postgres Heroku 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 Postgres Heroku and Servicemax: authenticate both systems, choose the objects to sync (such as Postgres Heroku's JSONB Columns and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Servicemax side: Products, Work Orders, Work Details, Installed Products, plus custom fields where Servicemax exposes them. On the Postgres Heroku side: Follower Databases, Tables, Views, Materialized Views. 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 Postgres Heroku and Servicemax: One integration pattern for the whole stack; Read Servicemax with a query; Automate Servicemax from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. 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: ServiceMax Core runs as a managed package on Salesforce (SVMXC__ objects); Asset 360 is native on Salesforce Field Service, so all access goes through the Salesforce API. Postgres Heroku: Credentials are managed by Heroku through the DATABASE_URL config var and can rotate, so integrations should tolerate credential changes. Stacksync's field mapping accounts for these differences between Postgres Heroku 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 453 integrations available for Postgres Heroku and Servicemax.