Real-time
Two-way sync
Changes in Elasticsearch or Servicemax instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Elasticsearch to Servicemax integration — real-time, two-way sync
Keep Elasticsearch 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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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Elasticsearch and Servicemax
Mirror Servicemax's data into Elasticsearch 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 Elasticsearch.
Stacksync mirrors Work Orders, Work Details, Installed Products, Service Contracts from Servicemax into Ingest pipelines, Index templates, Indices, Documents in Elasticsearch 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 Consolidate Service Contracts and entitlement data into a warehouse for renewal forecasting and SLA compliance dashboards.
- 02 Mirror Accounts and Contacts between ServiceMax and the CRM system of record so customer and site data stays consistent.
- 03 Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
- 04 Mirror support tickets into an index used for full-text search and agent-assist tooling.
Common sync patterns
Read Servicemax with a query
Records from Servicemax are ordinary rows in Elasticsearch; join them, index them, and use them in application logic without touching the vendor API.
Automate Servicemax from your codebase
Write to the synced tables in Elasticsearch and Stacksync propagates the change into Servicemax, replacing custom integration code.
React to changes as they happen
Updates in Servicemax arrive as row changes in Elasticsearch, so triggers, jobs, and services can respond in near real time.
What you can sync between Elasticsearch 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.
| Elasticsearch objects | Servicemax objects | How this pairing syncs | |
|---|---|---|---|
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Accounts Standard Salesforce Account; customer and site company records; synced two-way with CRM and database customer tables. | Aliases is specific to Elasticsearch and Accounts to Servicemax — each maps to any object or custom field on the other side. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Contacts Standard Salesforce Contact; people linked to Accounts and service sites; synced with CRM and support person records. | Data streams is specific to Elasticsearch and Contacts to Servicemax — each maps to any object or custom field on the other side. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Cases Standard Salesforce Case; support records that often precede a Work Order; synced with help desk tools and reporting databases. | Ingest pipelines is specific to Elasticsearch and Cases to Servicemax — each maps to any object or custom field on the other side. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Products Standard Salesforce Product2; catalog of serviceable products and spare parts referenced by Installed Products and Work Details. | Index templates is specific to Elasticsearch and Products to Servicemax — each maps to any object or custom field on the other side. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | 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. | Indices is specific to Elasticsearch and Work Orders to Servicemax — each maps to any object or custom field on the other side. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | 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. | Documents is specific to Elasticsearch and Work Details to Servicemax — each maps to any object or custom field on the other side. |
How changes propagate between Elasticsearch 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.
Elasticsearch Servicemax Interval-based propagation
DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.
DeliveryEach detected change is written to Servicemax through its API, with automatic retries and rate-limit backoff.
Servicemax Elasticsearch 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 written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue 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 Elasticsearch ⇄ Servicemax
Connect Elasticsearch and Servicemax for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Servicemax connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or Servicemax record.
Observability
Monitoring
Track your Elasticsearch ⇄ Servicemax sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Elasticsearch and Servicemax.
How the Elasticsearch and Servicemax connectors work
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue 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 Elasticsearch 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 Elasticsearch 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.
Elasticsearch
connected
Servicemax
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch 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 · Elasticsearch ⇄ 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.
Elasticsearch ServicemaxCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Servicemax integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Servicemax: authenticate both systems, choose the objects to sync (such as Elasticsearch's Aliases and Data streams), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Servicemax: Syncs consume the Salesforce org-wide daily API allocation shared by every integration; it varies by edition and license count. Elasticsearch: A field's mapping is fixed once indexed; changing a field type requires reindexing into a new index, typically swapped in behind an alias. Stacksync's field mapping accounts for these differences between Elasticsearch and Servicemax 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 Elasticsearch and Servicemax 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 Elasticsearch and Servicemax connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Servicemax integration in-house.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch 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 Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. 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.
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 525 integrations available for Elasticsearch and Servicemax.
Popular · 8 of 525
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Elasticsearch ⇄ Quip -
Elasticsearch ⇄ Smartsheet -
Elasticsearch ⇄ Sysaid -
Elasticsearch ⇄ Wrike -
Servicemax ⇄ Amazon Lightsail -
Servicemax ⇄ Apache Cassandra -
Servicemax ⇄ Azure Cosmos DB -
Servicemax ⇄ Azure SQL Database
No integrations match .
