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Data warehouse ⇄ Business productivity

Apache Druid to Servicemax integration — real-time, two-way sync

Keep Apache Druid 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 Apache Druid and Servicemax

Get the data locked inside Servicemax into Apache Druid 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 Work Details, Installed Products, Service Contracts, Stock History from Servicemax into tables in Apache Druid continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Druid can also be written back into fields in Servicemax where the tool can use them.

Common use cases

  • 01 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.
  • 02 Keep Installed Products (SVMXC__Installed_Product__c) aligned with an asset or IoT database for warranty, entitlement, and service-history reporting.
  • 03 Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.
  • 04 Expose product telemetry stored in Druid to business tools without granting direct cluster access.

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 Apache Druid sync back onto records in Servicemax, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in Apache Druid preserves a queryable record even as data ages out of Servicemax or gets changed inside it.

What you can sync between Apache Druid 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.

Apache Druid objects Servicemax objects How this pairing syncs
Lookups Key-value mappings joined at query time, refreshable from external systems. Service Contracts SVMXC__Service_Contract__c; coverage and entitlement agreements; synced to warehouses for renewal, SLA, and warranty reporting. Lookups is specific to Apache Druid and Service Contracts to Servicemax — each maps to any object or custom field on the other side.
Tasks Batch ingestion and compaction jobs monitored during data loads. Stock History SVMXC__Stock_History__c; append-only log of inventory transactions (RMA, shipment, parts receipt); read out for parts and inventory analytics. Tasks is specific to Apache Druid and Stock History to Servicemax — each maps to any object or custom field on the other side.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Accounts Standard Salesforce Account; customer and site company records; synced two-way with CRM and database customer tables. Datasources is specific to Apache Druid and Accounts to Servicemax — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Contacts Standard Salesforce Contact; people linked to Accounts and service sites; synced with CRM and support person records. Segments is specific to Apache Druid and Contacts to Servicemax — each maps to any object or custom field on the other side.
Dimensions String and categorical columns used for filtering and grouping in synced queries. Cases Standard Salesforce Case; support records that often precede a Work Order; synced with help desk tools and reporting databases. Dimensions is specific to Apache Druid and Cases to Servicemax — each maps to any object or custom field on the other side.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Products Standard Salesforce Product2; catalog of serviceable products and spare parts referenced by Installed Products and Work Details. Metrics is specific to Apache Druid and Products to Servicemax — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid 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.

Apache Druid Servicemax Interval-based propagation

DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.

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

Servicemax Apache Druid 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 Apache Druid as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
  • 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 Apache Druid ⇄ Servicemax

Connect Apache Druid and Servicemax for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Servicemax connection.

Real-time

Two-way sync

Changes in Apache Druid or Servicemax instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Servicemax record.

Observability

Monitoring

Track your Apache Druid ⇄ Servicemax sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Druid and Servicemax.

How the Apache Druid and Servicemax connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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 Apache Druid 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 Apache Druid 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
    Apache Druid connected
    Servicemax connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Druid 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 · Apache Druid ⇄ 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
    Apache Druid Servicemax
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid and Servicemax integration FAQ

SECURITY

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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.

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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 445 integrations available for Apache Druid and Servicemax.

Popular · 7 of 445
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