Two-way sync
Changes in Linnworks or Splunk instantly reflect in both systems. No stale data, no manual imports.
Keep Linnworks 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 Linnworks 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 Items, Stock Levels, Locations, Purchase Orders from Linnworks into Splunk continuously, handling API limits and schema drift as it goes, so each record type arrives as Users and Roles, Dashboards, Search Results, Saved Searches ready to report on. The connection is bi-directional, so segments, scores, and metrics computed in Splunk can be written back to fields in Linnworks where that is useful.
Orders, invoices, and account records from Linnworks join the behavioral and usage data Splunk already tracks, so customer analysis spans activity and dollars in one view.
Operational records from Linnworks become measurable in Splunk, joinable with the rest of what the company tracks for supply and fulfillment reporting.
Worker and organization data from Linnworks 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.
| Linnworks objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Open Orders Unshipped orders aggregated from sales channels sync into ERPs and fulfillment 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. | Open Orders is specific to Linnworks and HTTP Event Collector to Splunk — each maps to any object or custom field on the other side. | |
| Processed Orders Completed orders feed accounting and warehouse-based margin reporting. | 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. | Processed Orders is specific to Linnworks and Users and Roles to Splunk — each maps to any object or custom field on the other side. | |
| Stock Items SKU records keep product data aligned with ERPs and PIMs. | Dashboards Simple XML dashboard and view definitions at /servicesNS/{owner}/{app}/data/ui/views; exported for backup and audit, or created and updated programmatically from version control. | Stock Items is specific to Linnworks and Dashboards to Splunk — each maps to any object or custom field on the other side. | |
| Stock Levels Per-location quantities sync outward so channels and planning tools reflect current availability. | Search Results SPL searches dispatched via POST /services/search/jobs return a search ID (SID); results are pulled from /services/search/jobs/{sid}/results once the job completes, or synchronously via oneshot/export mode. The primary read path for streaming indexed events out to a warehouse. | Stock Levels is specific to Linnworks and Search Results to Splunk — each maps to any object or custom field on the other side. | |
| Locations Warehouse and fulfillment location records scope stock data during mapping. | 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. | Locations is specific to Linnworks and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| Purchase Orders Replenishment POs sync with suppliers and accounting 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. | Purchase Orders is specific to Linnworks and Fired Alerts 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 Linnworks for changes on an incremental schedule, reading only records changed since the previous pass. Polling on order and stock endpoints.
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 written to Linnworks through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Linnworks–Splunk connection.
Changes in Linnworks or Splunk instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Linnworks 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 Linnworks or Splunk record.
Track your Linnworks ⇄ Splunk sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Linnworks 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 Linnworks 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 Linnworks 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 Linnworks and Splunk: authenticate both systems, choose the objects to sync (such as Linnworks's Open Orders and Processed Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Linnworks and Splunk connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Linnworks–Splunk integration in-house.
Yes — Stacksync ships production-grade connectors for both Linnworks and Splunk. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Linnworks: Polling on order and stock endpoints. 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: Users and Roles, Dashboards, Search Results, Saved Searches, plus custom fields where Splunk exposes them. On the Linnworks side: Stock Items, Stock Levels, Locations, Purchase Orders. 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.
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 476 integrations available for Linnworks and Splunk.