Real-time
Two-way sync
Changes in ClickHouse or Servicemax instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Business productivity
ClickHouse to Servicemax integration — real-time, two-way sync
Keep ClickHouse 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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Why teams connect ClickHouse and Servicemax
Get the data locked inside Servicemax into ClickHouse as live tables, and send results back where Servicemax can use them, without writing a pipeline.
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 Stock History, Accounts, Contacts, Cases from Servicemax into tables in ClickHouse continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in ClickHouse can also be written back into fields in Servicemax where the tool can use them.
Common use cases
- 01 Keep Installed Products (SVMXC__Installed_Product__c) aligned with an asset or IoT database for warranty, entitlement, and service-history reporting.
- 02 Consolidate Service Contracts and entitlement data into a warehouse for renewal forecasting and SLA compliance dashboards.
- 03 Sync aggregated ClickHouse query results back into operational tools, such as account-level usage metrics into a CRM.
- 04 Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
Common sync patterns
Cross-tool reporting
Combine Servicemax's data with data from every other synced system to answer questions no single tool can.
Where Servicemax accepts updates: operational write-back
Segments, scores, or reference values computed in ClickHouse sync back onto records in Servicemax, putting analysis where the work happens.
History that outlives the tool
A continuously synced copy in ClickHouse preserves a queryable record even as data ages out of Servicemax or gets changed inside it.
What you can sync between ClickHouse 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.
| ClickHouse objects | Servicemax objects | How this pairing syncs | |
|---|---|---|---|
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Service Contracts SVMXC__Service_Contract__c; coverage and entitlement agreements; synced to warehouses for renewal, SLA, and warranty reporting. | Tables (MergeTree family) is specific to ClickHouse and Service Contracts to Servicemax — each maps to any object or custom field on the other side. | |
| Databases Namespaces that group tables and scope permissions for sync users. | Stock History SVMXC__Stock_History__c; append-only log of inventory transactions (RMA, shipment, parts receipt); read out for parts and inventory analytics. | Databases is specific to ClickHouse and Stock History to Servicemax — each maps to any object or custom field on the other side. | |
| Views Saved queries used as curated, read-only sync sources. | Accounts Standard Salesforce Account; customer and site company records; synced two-way with CRM and database customer tables. | Views is specific to ClickHouse and Accounts to Servicemax — each maps to any object or custom field on the other side. | |
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | Contacts Standard Salesforce Contact; people linked to Accounts and service sites; synced with CRM and support person records. | Materialized views is specific to ClickHouse and Contacts to Servicemax — each maps to any object or custom field on the other side. | |
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Cases Standard Salesforce Case; support records that often precede a Work Order; synced with help desk tools and reporting databases. | Distributed tables is specific to ClickHouse and Cases to Servicemax — each maps to any object or custom field on the other side. | |
| Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | Products Standard Salesforce Product2; catalog of serviceable products and spare parts referenced by Installed Products and Work Details. | Dictionaries is specific to ClickHouse and Products to Servicemax — each maps to any object or custom field on the other side. |
How changes propagate between ClickHouse 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.
ClickHouse Servicemax Interval-based propagation
DetectionStacksync polls ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.
DeliveryEach detected change is written to Servicemax through its API, with automatic retries and rate-limit backoff.
Servicemax ClickHouse 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 ClickHouse 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 ClickHouse ⇄ Servicemax
Connect ClickHouse and Servicemax for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Servicemax connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever ClickHouse 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 ClickHouse or Servicemax record.
Observability
Monitoring
Track your ClickHouse ⇄ Servicemax sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between ClickHouse and Servicemax.
How the ClickHouse and Servicemax connectors work
ClickHouse
- Integration surface
- Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
- Authentication
- Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
- Change detection
- No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
- Capabilities
- read · write
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 ClickHouse 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.
- 01
Connect your apps
Authenticate ClickHouse 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.
ClickHouse
connected
Servicemax
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the ClickHouse 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.
objects · ClickHouse ⇄ ServicemaxCustomers 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.
ClickHouse ServicemaxCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
ClickHouse and Servicemax integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between ClickHouse and Servicemax: authenticate both systems, choose the objects to sync (such as ClickHouse's Tables (MergeTree family) and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both ClickHouse and Servicemax. 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 ClickHouse: No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source. On Servicemax: Salesforce mechanisms — Apex triggers or polling on SystemModstamp/LastModifiedDate, with Change Data Capture / Platform Events available per object where enabled. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Servicemax side: Stock History, Accounts, Contacts, Cases, plus custom fields where Servicemax exposes them. On the ClickHouse side: Views, Materialized views, Distributed tables, Dictionaries. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for ClickHouse and Servicemax: Cross-tool reporting; Where Servicemax accepts updates: operational write-back; History that outlives the tool. Combine Servicemax's data with data from every other synced system to answer questions no single tool can.
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
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No integrations match .
