Two-way sync
Changes in Sage X3 or Splunk instantly reflect in both systems. No stale data, no manual imports.
Keep Sage X3 and Splunk in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ERP data is some of the most requested data for analysis and some of the hardest to pull: the record types are many, the APIs are strict, and export jobs break on every upgrade. Whether Sage X3 carries financials, operations, workforce data, or all three, those numbers belong in Splunk, next to the product, behavioral, and web data the team already measures.
Stacksync syncs Stock / Inventory by site, Bills of Material, GL Journals, Deliveries from Sage X3 into Splunk continuously, handling API limits and schema drift as it goes, so each record type arrives as Dashboards, Search Results, Saved Searches, Fired Alerts ready to report on. The connection is bi-directional, so segments, scores, and metrics computed in Splunk can be written back to fields in Sage X3 where that is useful.
Orders, invoices, and account records from Sage X3 join the behavioral and usage data Splunk already tracks, so customer analysis spans activity and dollars in one view.
Operational records from Sage X3 become measurable in Splunk, joinable with the rest of what the company tracks for supply and fulfillment reporting.
Worker and organization data from Sage X3 syncs into Splunk for headcount, cost, and utilization reporting alongside other company data.
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.
| Sage X3 objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Deliveries Shipment documents synced to logistics providers and customer portals. | Saved Searches Scheduled searches, reports, and the definitions behind alerts at /services/saved/searches with full create, update, and delete. Read out for governance and coverage review, or provisioned and updated from a config source. | Deliveries is specific to Sage X3 and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| Business Partners (Customers and Suppliers) Shared partner master synced with CRMs and procurement systems. | Fired Alerts Triggered alert instances listed at /services/alerts/fired_alerts; alert configuration (conditions, schedule, actions) lives on the corresponding saved search. Landed in a database for alert-trend and detection-coverage reporting. | Business Partners (Customers and Suppliers) is specific to Sage X3 and Fired Alerts to Splunk — each maps to any object or custom field on the other side. | |
| Products Item master with units, costing, and site data, synced to commerce and PLM tools. | KV Store Collections App-scoped, MongoDB-backed key-value collections at /servicesNS/{owner}/{app}/storage/collections/data/{collection} with full CRUD and batch endpoints. Genuinely bidirectional lookup/state store — read records out or write records in. | Products is specific to Sage X3 and KV Store Collections to Splunk — each maps to any object or custom field on the other side. | |
| Sales Orders Order documents written from external channels and read for fulfillment status. | Indexes Index inventory and settings (retention, max size, event counts) via /services/data/indexes, with create and edit; loaded into a database for capacity, retention, and data-onboarding tracking. | Sales Orders is specific to Sage X3 and Indexes to Splunk — each maps to any object or custom field on the other side. | |
| Purchase Orders Procurement documents synced with supplier-facing systems. | HTTP Event Collector The write-in path: POST events and metrics to /services/collector (port 8088, or 443 on Splunk Cloud) authenticated with a per-input HEC token, so external records are indexed alongside logs for search and correlation. | Purchase Orders is specific to Sage X3 and HTTP Event Collector to Splunk — each maps to any object or custom field on the other side. | |
| Work Orders Production orders read by MES and scheduling integrations. | Users and Roles Accounts at /services/authentication/users and role/capability definitions at /services/authorization/roles, with full CRUD; exported for access reviews or provisioned from an identity source of truth. | Work Orders is specific to Sage X3 and Users and Roles to Splunk — 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 Sage X3 for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled polling.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
DetectionSplunk notifies Stacksync of record changes through webhook events. Time-range searches over indexed events (earliest/latest on _time or _indextime).
DeliveryEach detected change is applied to Sage X3 as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Sage X3–Splunk connection.
Changes in Sage X3 or Splunk instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Sage X3 or Splunk data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Sage X3 or Splunk record.
Track your Sage X3 ⇄ Splunk sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Sage X3 and Splunk.
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 Sage X3 and Splunk 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 Sage X3 and Splunk 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 Sage X3 and Splunk: authenticate both systems, choose the objects to sync (such as Sage X3's Deliveries and Business Partners (Customers and Suppliers)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Sage X3: Scheduled polling; no general webhook surface on the classic web services layer. On Splunk: Time-range searches over indexed events (earliest/latest on _time or _indextime); events are immutable once indexed, so incremental extraction advances a time cursor rather than a modified-date CDC feed. Config objects such as saved searches and KV Store are polled; alerts can push via a saved-search webhook action. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Splunk side: Dashboards, Search Results, Saved Searches, Fired Alerts, plus custom fields where Splunk exposes them. On the Sage X3 side: Stock / Inventory by site, Bills of Material, GL Journals, Deliveries. 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 Sage X3 and Splunk: Where Sage X3 runs order-to-cash: customer and account analytics; Where Sage X3 runs operations: inventory and fulfillment metrics; Where Sage X3 is the HR system of record: workforce and cost analysis. Orders, invoices, and account records from Sage X3 join the behavioral and usage data Splunk already tracks, so customer analysis spans activity and dollars in one view.
Sage X3: SOAP and REST web services published from X3 business objects; direct SQL access to the underlying database on-prem. Authentication: Dedicated web-service user credentials (Basic auth) against configured connection pools. Splunk: REST API (management API + HTTP Event Collector). Authentication: HTTP Basic (username/password), or a session key from POST /services/auth/login sent as Authorization: Splunk <key>, or a bearer authentication token (Authorization: Bearer <token>). The HTTP Event Collector uses its own per-input token (Authorization: Splunk <hec-token>). Management API defaults to port 8089; HEC to port 8088 (443 on Splunk Cloud). Stacksync manages authentication, retries, and rate limits on both sides.
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 480 integrations available for Sage X3 and Splunk.