Real-time
Two-way sync
Changes in Servicemax or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Servicemax to TimescaleDB integration — real-time, two-way sync
Keep Servicemax and TimescaleDB 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 Servicemax and TimescaleDB
Mirror Servicemax's data into TimescaleDB 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 TimescaleDB.
Stacksync mirrors Contacts, Cases, Products, Work Orders from Servicemax into Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables in TimescaleDB 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 Mirror Accounts and Contacts between ServiceMax and the CRM system of record so customer and site data stays consistent.
- 02 Sync Work Orders (SVMXC__Service_Order__c) and Work Details bi-directionally with Postgres so ops and analytics teams read and write field-service data in plain SQL.
- 03 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
- 04 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
Common sync patterns
React to changes as they happen
Updates in Servicemax arrive as row changes in TimescaleDB, 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 TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Servicemax and TimescaleDB
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 | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Views Standard SQL views used to shape or filter data for consumers. | Work Orders is specific to Servicemax and Views to TimescaleDB — each maps to any object or custom field on the other side. | |
| 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. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Work Details is specific to Servicemax and Schemas to TimescaleDB — each maps to any object or custom field on the other side. | |
| Installed Products SVMXC__Installed_Product__c; the installed-base asset record driving entitlement and service history; synced with asset and IoT databases. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Installed Products is specific to Servicemax and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Service Contracts SVMXC__Service_Contract__c; coverage and entitlement agreements; synced to warehouses for renewal, SLA, and warranty reporting. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Service Contracts is specific to Servicemax and Chunks to TimescaleDB — each maps to any object or custom field on the other side. | |
| Stock History SVMXC__Stock_History__c; append-only log of inventory transactions (RMA, shipment, parts receipt); read out for parts and inventory analytics. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Stock History is specific to Servicemax and Continuous Aggregates to TimescaleDB — 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. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Accounts is specific to Servicemax and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Servicemax and TimescaleDB
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 TimescaleDB 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 TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Servicemax Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
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.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Servicemax ⇄ TimescaleDB
Connect Servicemax and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Servicemax–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Servicemax or TimescaleDB 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 TimescaleDB record.
Observability
Monitoring
Track your Servicemax ⇄ TimescaleDB 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 TimescaleDB.
How the Servicemax and TimescaleDB 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
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Servicemax to TimescaleDB — 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 TimescaleDB 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
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Servicemax and TimescaleDB 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 ⇄ TimescaleDBCustomers 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 TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Servicemax and TimescaleDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Servicemax and TimescaleDB: authenticate both systems, choose the objects to sync (such as Servicemax's Work Orders and Work Details), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Servicemax: Custom SVMXC__ objects and fields must be visible and writable to the connecting Salesforce profile via field-level security and object permissions. TimescaleDB: TimescaleDB is packaged as a PostgreSQL extension, so standard Postgres drivers and SQL tooling work unchanged. Stacksync's field mapping accounts for these differences between Servicemax and TimescaleDB without custom code.
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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 Servicemax and TimescaleDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Servicemax and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Servicemax–TimescaleDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Servicemax and TimescaleDB. 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 TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
Every pair below is a real-time, two-way sync. Search all 434 integrations available for Servicemax and TimescaleDB.
Popular · 7 of 434
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Servicemax ⇄ Firebase -
Servicemax ⇄ SingleStore -
Servicemax ⇄ Amazon Aurora -
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TimescaleDB ⇄ Monday -
TimescaleDB ⇄ Notion -
TimescaleDB ⇄ Quip
No integrations match .
