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Database ⇄ Business productivity

AWS Aurora PostgreSQL to Servicemax integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Servicemax

Mirror Servicemax's data into AWS Aurora PostgreSQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

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 AWS Aurora PostgreSQL.

Stacksync mirrors Accounts, Contacts, Cases, Products from Servicemax into Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas in AWS Aurora PostgreSQL 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.

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 Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
  • 04 Sync JSONB-heavy application data into structured objects in downstream business systems.

Common sync patterns

React to changes as they happen

Updates in Servicemax arrive as row changes in AWS Aurora PostgreSQL, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read Servicemax with a query

Records from Servicemax are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between AWS Aurora PostgreSQL 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.

AWS Aurora PostgreSQL objects Servicemax objects How this pairing syncs
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Contacts Standard Salesforce Contact; people linked to Accounts and service sites; synced with CRM and support person records. Views and materialized views is specific to AWS Aurora PostgreSQL and Contacts to Servicemax — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Cases Standard Salesforce Case; support records that often precede a Work Order; synced with help desk tools and reporting databases. Foreign keys is specific to AWS Aurora PostgreSQL and Cases to Servicemax — each maps to any object or custom field on the other side.
Replication slots and publications The logical replication objects that power log-based CDC. Products Standard Salesforce Product2; catalog of serviceable products and spare parts referenced by Installed Products and Work Details. Replication slots and publications is specific to AWS Aurora PostgreSQL and Products to Servicemax — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. 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. Databases and schemas is specific to AWS Aurora PostgreSQL and Work Orders to Servicemax — each maps to any object or custom field on the other side.
Tables The core sync unit; rows are matched across systems by primary key. 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. Tables is specific to AWS Aurora PostgreSQL and Work Details to Servicemax — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Installed Products SVMXC__Installed_Product__c; the installed-base asset record driving entitlement and service history; synced with asset and IoT databases. Rows is specific to AWS Aurora PostgreSQL and Installed Products to Servicemax — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL 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.

AWS Aurora PostgreSQL Servicemax Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

DeliveryEach detected change is written to Servicemax through its API, with automatic retries and rate-limit backoff.

Servicemax AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.

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.
What ships with AWS Aurora PostgreSQL ⇄ Servicemax

Connect AWS Aurora PostgreSQL and Servicemax for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Servicemax record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Servicemax sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Servicemax.

How the AWS Aurora PostgreSQL and Servicemax connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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
    AWS Aurora PostgreSQL connected
    Servicemax connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL 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 · AWS Aurora PostgreSQL ⇄ 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
    AWS Aurora PostgreSQL Servicemax
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL 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.

Learn more about security
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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:

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 457 integrations available for AWS Aurora PostgreSQL and Servicemax.

Popular · 8 of 457
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