Two-way sync
Changes in Materialize or Servicemax instantly reflect in both systems. No stale data, no manual imports.
Keep Materialize 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.
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 Accounts, Contacts, Cases, Products from Servicemax into tables in Materialize continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Materialize can also be written back into fields in Servicemax where the tool can use them.
Records and events from Servicemax land in Materialize as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Servicemax's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in Materialize sync back onto records in Servicemax, putting analysis where the work happens.
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.
| Materialize objects | Servicemax objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | Accounts Standard Salesforce Account; customer and site company records; synced two-way with CRM and database customer tables. | Materialized Views is specific to Materialize and Accounts to Servicemax — each maps to any object or custom field on the other side. | |
| Sinks Outbound connections that emit view changes to Kafka topics. | Contacts Standard Salesforce Contact; people linked to Accounts and service sites; synced with CRM and support person records. | Sinks is specific to Materialize and Contacts to Servicemax — each maps to any object or custom field on the other side. | |
| Indexes In-memory arrangements that make view reads fast for serving workloads. | Cases Standard Salesforce Case; support records that often precede a Work Order; synced with help desk tools and reporting databases. | Indexes is specific to Materialize and Cases to Servicemax — each maps to any object or custom field on the other side. | |
| Clusters Compute pools that isolate ingestion, view maintenance, and serving. | Products Standard Salesforce Product2; catalog of serviceable products and spare parts referenced by Installed Products and Work Details. | Clusters is specific to Materialize and Products to Servicemax — each maps to any object or custom field on the other side. | |
| Connections & Secrets Stored credentials and endpoints used by sources and sinks. | 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. | Connections & Secrets is specific to Materialize and Work Orders to Servicemax — each maps to any object or custom field on the other side. | |
| Schemas & Databases Namespaces that organize objects a sync targets. | 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 & Databases is specific to Materialize and Work Details 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 Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
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 Materialize as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–Servicemax connection.
Changes in Materialize or Servicemax instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Materialize 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 Materialize or Servicemax record.
Track your Materialize ⇄ Servicemax sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Materialize 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 Materialize 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 Materialize 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 Materialize and Servicemax: authenticate both systems, choose the objects to sync (such as Materialize's Materialized Views and Sinks), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Materialize and Servicemax: Analytics on Servicemax's data; Cross-tool reporting; Where Servicemax accepts updates: operational write-back. Records and events from Servicemax land in Materialize as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Materialize: PostgreSQL wire protocol (SQL). Authentication: Database credentials (username/password; app passwords in the managed cloud service). 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: Syncs consume the Salesforce org-wide daily API allocation shared by every integration; it varies by edition and license count. Materialize: Materialize speaks the PostgreSQL wire protocol, so standard Postgres drivers and tools connect without a custom client. Stacksync's field mapping accounts for these differences between Materialize and Servicemax without custom code.
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 Materialize and Servicemax records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Materialize and Servicemax connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Materialize–Servicemax integration in-house.
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 442 integrations available for Materialize and Servicemax.