Two-way sync
Changes in Sage 100 or Splunk instantly reflect in both systems. No stale data, no manual imports.
Keep Sage 100 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 100 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 Vendors, Inventory Items, Sales Orders, AR Invoices from Sage 100 into Splunk continuously, handling API limits and schema drift as it goes, so each record type arrives as HTTP Event Collector, Users and Roles, Dashboards, Search Results 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 100 where that is useful.
Segments, scores, or metrics computed in Splunk sync onto the matching records in Sage 100, so operations act on what the analysis found.
Financial records from Sage 100 land in Splunk as they change, so revenue, margin, and spend dashboards read current figures rather than last night's export.
Orders, invoices, and account records from Sage 100 join the behavioral and usage data Splunk already tracks, so customer analysis spans activity and dollars in one view.
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 100 objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Customers AR customer master records synced to CRMs for account and credit visibility. | 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. | Customers is specific to Sage 100 and Search Results to Splunk — each maps to any object or custom field on the other side. | |
| Vendors AP vendor master records synced with procurement and payment tools. | 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. | Vendors is specific to Sage 100 and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| Inventory Items Item master with pricing and quantities, synced to e-commerce catalogs. | 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. | Inventory Items is specific to Sage 100 and Fired Alerts to Splunk — each maps to any object or custom field on the other side. | |
| Sales Orders Order headers and lines, the usual write target for web and EDI orders. | 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. | Sales Orders is specific to Sage 100 and KV Store Collections to Splunk — each maps to any object or custom field on the other side. | |
| AR Invoices Billing documents synced outward for payment status and revenue reporting. | 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. | AR Invoices is specific to Sage 100 and Indexes to Splunk — each maps to any object or custom field on the other side. | |
| Purchase Orders Procurement documents read for spend and receiving workflows. | 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 100 and HTTP Event Collector 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 100 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 100 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 100–Splunk connection.
Changes in Sage 100 or Splunk instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Sage 100 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 100 or Splunk record.
Track your Sage 100 ⇄ Splunk sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Sage 100 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 100 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 100 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 100 and Splunk: authenticate both systems, choose the objects to sync (such as Sage 100's Customers and Vendors), 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 Sage 100 and Splunk connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Sage 100–Splunk integration in-house.
Yes — Stacksync ships production-grade connectors for both Sage 100 and Splunk. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Sage 100: Scheduled polling; no webhooks or change log on the integration surface. 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: HTTP Event Collector, Users and Roles, Dashboards, Search Results, plus custom fields where Splunk exposes them. On the Sage 100 side: Vendors, Inventory Items, Sales Orders, AR Invoices. 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 479 integrations available for Sage 100 and Splunk.