Two-way sync
Changes in Shopify or Splunk instantly reflect in both systems. No stale data, no manual imports.
Keep Shopify 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.
Splunk turns data into dashboards, cohorts, and metrics; Shopify is where customers, contacts, deals, and activity actually live and change. The two meet wherever a number is really about a specific account, segment, or stage — yet most teams feed the CRM into analytics as a nightly extract or a hand-maintained connector, so the reporting lags the business and can't be sliced by the customers and segments that matter.
Stacksync syncs Customers, Abandoned Checkouts, Products, ProductMedias from Shopify into Splunk field by field and within seconds, so every dashboard and cohort runs on current records instead of a stale copy. Because the connection runs both ways, the cohorts, scores, and metrics computed in Splunk write back to fields in Shopify, landing where the people working accounts can see them. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.
Accounts, contacts, deals, and activity from Shopify sync into Splunk, so metrics and dashboards group by real customers, segments, and stage instead of anonymous IDs.
New records and status changes in Shopify appear in Splunk within seconds, so dashboards and cohorts track the current pipeline rather than last night's export.
Cohorts, scores, and computed metrics from Splunk sync onto fields in Shopify, putting the analysis where reps and owners actually work the accounts.
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.
| Shopify objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs. | 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. | Abandoned Checkouts is specific to Shopify and Dashboards to Splunk — each maps to any object or custom field on the other side. | |
| Products Catalog entries; often mastered in a PIM or ERP and written into Shopify. | 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. | Products is specific to Shopify and Search Results to Splunk — each maps to any object or custom field on the other side. | |
| ProductMedias Synced with incremental and full sync per the Stacksync docs. | 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. | ProductMedias is specific to Shopify and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| ProductVariants Synced with incremental and full sync per the Stacksync docs. | 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. | ProductVariants is specific to Shopify and Fired Alerts to Splunk — each maps to any object or custom field on the other side. | |
| Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting. | 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. | Orders is specific to Shopify and KV Store Collections to Splunk — each maps to any object or custom field on the other side. | |
| Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis. | 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. | Customers is specific to Shopify and Indexes 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.
DetectionShopify notifies Stacksync of record changes through webhook events. Webhook topics per resource, with polling on updated_at as a fallback.
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 Shopify through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Shopify–Splunk connection.
Changes in Shopify or Splunk instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Shopify 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 Shopify or Splunk record.
Track your Shopify ⇄ Splunk sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Shopify 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 Shopify 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 Shopify 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 Shopify and Splunk: authenticate both systems, choose the objects to sync (such as Shopify's Abandoned Checkouts and Products), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Shopify and Splunk records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Shopify and Splunk connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Shopify–Splunk integration in-house.
Yes — Stacksync ships production-grade connectors for both Shopify and Splunk. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Shopify: Webhook topics per resource, with polling on updated_at as a fallback. 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: Saved Searches, Fired Alerts, KV Store Collections, Indexes, plus custom fields where Splunk exposes them. On the Shopify side: Customers, Abandoned Checkouts, Products, ProductMedias. Stacksync auto-detects both schemas and converts types between the two systems.
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 504 integrations available for Shopify and Splunk.