Real-time
Two-way sync
Changes in Splunk or Xactly instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ CRM
Splunk to Xactly integration — real-time, two-way sync
Keep Splunk and Xactly in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Splunk and Xactly
Put live Xactly data behind every dashboard and cohort in Splunk, and write the segments and scores Splunk computes back onto the Xactly record — one connection, not a nightly export.
Splunk turns data into dashboards, cohorts, and metrics; Xactly 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 Positions & Titles, Quotas / Targets, Payment Summary (Payable), Products & Customers from Xactly 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 Xactly, 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.
Common use cases
- 01 Export Users and Roles into an IAM database for periodic access reviews, or provision them from an identity source of truth.
- 02 Sync fired-alert history and saved-search definitions into Postgres so security and reliability teams query alert trends and detection coverage in SQL.
- 03 Push approved Payment Summary amounts from Incent into a payroll or accounts-payable system so payouts are paid from the mastered comp result.
- 04 Replicate Products and Customer/Account master from CRM/ERP into Xactly so crediting rules resolve against consistent reference data.
Common sync patterns
A record that outlives edits in the CRM
A continuously synced copy of Xactly's records and activity in Splunk keeps a queryable history even as records change or age out of the CRM.
Customer context in Splunk
Accounts, contacts, deals, and activity from Xactly sync into Splunk, so metrics and dashboards group by real customers, segments, and stage instead of anonymous IDs.
Report on live CRM data
New records and status changes in Xactly appear in Splunk within seconds, so dashboards and cohorts track the current pipeline rather than last night's export.
What you can sync between Splunk and Xactly
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.
| Splunk objects | Xactly objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Quotas / Targets Period quota and target values per position or plan; loaded from planning tools through Connect (write) and read for attainment reporting, so read and write. | KV Store Collections is specific to Splunk and Quotas / Targets to Xactly — each maps to any object or custom field on the other side. | |
| 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. | Payment Summary (Payable) Approved payable amounts per participant per period; read as the output that feeds payroll and accounts payable, so effectively read-only. | Indexes is specific to Splunk and Payment Summary (Payable) to Xactly — each maps to any object or custom field on the other side. | |
| 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. | Products & Customers Product and customer/account master used in crediting rules and reporting; loaded and updated from CRM/ERP through Connect (write) and read for lookups, so read and write. | HTTP Event Collector is specific to Splunk and Products & Customers to Xactly — each maps to any object or custom field on the other side. | |
| 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. | Orders Sales order and transaction records loaded into Incent as the raw input for crediting and calculation; created and updated through Connect load and ETL steps (write) and read back for reconciliation, so read and write. | Users and Roles is specific to Splunk and Orders to Xactly — each maps to any object or custom field on the other side. | |
| 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. | Credits Crediting records that tie an order to a participant and position; system-calculated credits are read, while manual and adjustment credits are loaded through Connect, so read and write. | Dashboards is specific to Splunk and Credits to Xactly — each maps to any object or custom field on the other side. | |
| 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. | Transactions (Commission & Bonus) Calculated commission and bonus line items produced by Incent's calculation engine; read as the output of comp runs for reporting and downstream payout, so effectively read-only results. | Search Results is specific to Splunk and Transactions (Commission & Bonus) to Xactly — each maps to any object or custom field on the other side. |
How changes propagate between Splunk and Xactly
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.
Splunk Xactly Sub-second propagation
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 Xactly as a row-level write, with types converted between the two schemas.
Xactly Splunk Interval-based propagation
DetectionStacksync polls Xactly for changes on an incremental schedule, reading only records changed since the previous pass. No CDC log for external tools to consume.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Splunk: The management REST API throttles through search-concurrency quotas — max concurrent searches per user and role, plus per-CPU historical search limits in limits.conf — rather than a fixed per-request rate; exceeding quota queues or blocks jobs. HEC has per-token and per-instance throughput limits, and Splunk Cloud adds ingestion and API limits on top.
- Xactly: Xactly does not publish numeric per-second rate limits. The Connect platform enforces query concurrency and long-running-query limits, so large extracts are paged and heavy loads/queries run as asynchronous Connect jobs (submit, then retrieve results) rather than row-by-row calls; batch loads are the supported path for high volume.
What ships with Splunk ⇄ Xactly
Connect Splunk and Xactly for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Splunk–Xactly connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Splunk or Xactly 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 Splunk or Xactly record.
Observability
Monitoring
Track your Splunk ⇄ Xactly sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Splunk and Xactly.
How the Splunk and Xactly connectors work
Splunk
- Integration surface
- 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).
- Change detection
- 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.
- Capabilities
- read · write · webhooks
- Rate limits
- The management REST API throttles through search-concurrency quotas — max concurrent searches per user and role, plus per-CPU historical search limits in limits.conf — rather than a fixed per-request rate; exceeding quota queues or blocks jobs. HEC has per-token and per-instance throughput limits, and Splunk Cloud adds ingestion and API limits on top.
Xactly
- Integration surface
- Xactly Connect REST API v2 (JSON), plus ODBC/JDBC drivers over the same ANSI-SQL data model. Incent data is exposed as SQL-queryable objects (for example xactly_order, xactly_credit, xactly_transaction, xactly_payment); data is loaded and extracted through Connect load/query steps and server-side ETL Pipelines. The base host is region/pod-specific (for example https://<pod>.xactlycorp.com).
- Authentication
- OAuth 2.0 via the Xactly Connect API Gateway (bearer tokens issued on behalf of an Xactly Incent user), with HTTP Basic authentication using a dedicated Xactly Connect service-user's credentials also supported for the Connect REST API v2. The connecting user needs Connect/API access plus the relevant object permissions in Incent.
- Change detection
- No CDC log for external tools to consume. Incremental sync uses SQL predicates on modified/last-updated timestamp columns (for example WHERE modified_date > watermark) against Connect's queryable objects, or scheduled Connect ETL Pipelines that pull deltas since the last run. Xactly Connect has no outbound HTTP webhooks, so change detection is pull/ETL-based.
- Capabilities
- read · write
- Rate limits
- Xactly does not publish numeric per-second rate limits. The Connect platform enforces query concurrency and long-running-query limits, so large extracts are paged and heavy loads/queries run as asynchronous Connect jobs (submit, then retrieve results) rather than row-by-row calls; batch loads are the supported path for high volume.
How it works
How to connect Splunk to Xactly — 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 Splunk and Xactly with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Splunk
connected
Xactly
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Splunk and Xactly 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 · Splunk ⇄ XactlyCustomers 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.
Splunk XactlyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Splunk and Xactly integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Splunk and Xactly: authenticate both systems, choose the objects to sync (such as Splunk's KV Store Collections and Indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Splunk and Xactly 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 Splunk and Xactly connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Splunk–Xactly integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Splunk and Xactly. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection 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. On Xactly: No CDC log for external tools to consume. Incremental sync uses SQL predicates on modified/last-updated timestamp columns (for example WHERE modified_date > watermark) against Connect's queryable objects, or scheduled Connect ETL Pipelines that pull deltas since the last run. Xactly Connect has no outbound HTTP webhooks, so change detection is pull/ETL-based. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Splunk side: Indexes, HTTP Event Collector, Users and Roles, Dashboards, plus custom fields where Splunk exposes them. On the Xactly side: Positions & Titles, Quotas / Targets, Payment Summary (Payable), Products & Customers. Stacksync auto-detects both schemas and converts types between the two systems.
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
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
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Splunk ⇄ HubSpot -
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