Two-way sync
Changes in Cloudera Data Platform or Servicemax instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform 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 Products, Work Orders, Work Details, Installed Products from Servicemax into tables in Cloudera Data Platform continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Cloudera Data Platform can also be written back into fields in Servicemax where the tool can use them.
A continuously synced copy in Cloudera Data Platform preserves a queryable record even as data ages out of Servicemax or gets changed inside it.
Records and events from Servicemax land in Cloudera Data Platform 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.
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.
| Cloudera Data Platform objects | Servicemax objects | How this pairing syncs | |
|---|---|---|---|
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Stock History SVMXC__Stock_History__c; append-only log of inventory transactions (RMA, shipment, parts receipt); read out for parts and inventory analytics. | Object store / HDFS files is specific to Cloudera Data Platform and Stock History to Servicemax — each maps to any object or custom field on the other side. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Accounts Standard Salesforce Account; customer and site company records; synced two-way with CRM and database customer tables. | Databases is specific to Cloudera Data Platform and Accounts to Servicemax — each maps to any object or custom field on the other side. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Contacts Standard Salesforce Contact; people linked to Accounts and service sites; synced with CRM and support person records. | Hive tables is specific to Cloudera Data Platform and Contacts to Servicemax — each maps to any object or custom field on the other side. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Cases Standard Salesforce Case; support records that often precede a Work Order; synced with help desk tools and reporting databases. | Impala tables is specific to Cloudera Data Platform and Cases to Servicemax — each maps to any object or custom field on the other side. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Products Standard Salesforce Product2; catalog of serviceable products and spare parts referenced by Installed Products and Work Details. | Kudu tables is specific to Cloudera Data Platform and Products to Servicemax — each maps to any object or custom field on the other side. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | 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. | Iceberg tables is specific to Cloudera Data Platform and Work Orders 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 Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.
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 Cloudera Data Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Servicemax connection.
Changes in Cloudera Data Platform or Servicemax instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform 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 Cloudera Data Platform or Servicemax record.
Track your Cloudera Data Platform ⇄ Servicemax sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform and Servicemax: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Object store / HDFS files and Databases), 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 Cloudera Data Platform side: Partitions, Object store / HDFS files, Databases, Hive tables. 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 Cloudera Data Platform and Servicemax: History that outlives the tool; Analytics on Servicemax's data; Cross-tool reporting. A continuously synced copy in Cloudera Data Platform preserves a queryable record even as data ages out of Servicemax or gets changed inside it.
Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. 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: Polling orders incremental changes by each object's SystemModstamp or LastModifiedDate; objects without a modified timestamp or API write access cannot sync incrementally. Cloudera Data Platform: Access is commonly brokered by Apache Knox and secured with Kerberos or LDAP, which integration tooling must support. Stacksync's field mapping accounts for these differences between Cloudera Data Platform 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 441 integrations available for Cloudera Data Platform and Servicemax.