Real-time
Two-way sync
Changes in Pigment or Splunk instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Analytics
Pigment to Splunk integration — real-time, two-way sync
Keep Pigment 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.
- 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 Pigment and Splunk
Feed the customers, invoices, and revenue records in Pigment into Splunk in real time, so dashboards and reports run on current numbers instead of last night's export.
Pigment holds the financial truth: who the customers are, what they were invoiced, what they paid, and what revenue landed. Splunk is where that data is turned into dashboards, reports, and metrics, but it only reflects the world as of its last load. When the connection between them is a scheduled extract or a hand-built pipeline, analysis runs a step behind the books, and the numbers on a chart rarely match the numbers in the finance system.
Stacksync keeps Tables, Scenarios, Data imports, Users and permissions in Pigment in sync with Indexes, HTTP Event Collector, Users and Roles, Dashboards in Splunk, field by field and in real time. A customer, invoice, or amount created or corrected in Pigment shows up in Splunk within seconds, mapped to the right record. Where Splunk keeps its own accounts or users, the flow runs both ways, so finance attributes can enrich what Splunk already tracks.
There is no middleware to build, no API rate limits to babysit, and no nightly job that leaves the morning's reporting running on yesterday's figures.
Common use cases
- 01 Push CRM pipeline data (deals, stages, amounts) into Pigment for revenue and capacity planning.
- 02 Export approved budgets and forecasts back to a warehouse or Postgres for downstream reporting.
- 03 Ingest application, CRM, or database records into Splunk via the HTTP Event Collector so operational data lands alongside logs for correlation and dashboards.
- 04 Read and write KV Store collections to keep Splunk lookups — asset inventories, allow/deny lists, enrichment tables — in sync with an external source of truth in both directions.
Common sync patterns
Where Splunk keeps account or user records: finance attributes enrich them
Status, plan, or outstanding balance from Pigment attaches to the matching account or user in Splunk, so segments and cohorts can be cut by real financial standing.
Financial records land in Splunk for reporting
Invoices, payments, and revenue from Pigment flow into Splunk as they change, so dashboards are built on live figures rather than a periodic extract.
One customer key across both
A customer or account in Pigment is matched to the corresponding record in Splunk, so financial numbers join cleanly to whatever Splunk already reports on.
What you can sync between Pigment and Splunk
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.
| Pigment objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Applications Planning models organized by domain such as finance, sales, or workforce | 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. | Applications is specific to Pigment and Dashboards to Splunk — each maps to any object or custom field on the other side. | |
| Metrics Multidimensional values holding plans and actuals; the main target for inbound data | 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. | Metrics is specific to Pigment and Search Results to Splunk — each maps to any object or custom field on the other side. | |
| Dimension lists Master data like accounts, products, or employees that metrics are sliced by | 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. | Dimension lists is specific to Pigment and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| Tables Row-based transactional data loaded into models from source 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. | Tables is specific to Pigment and Fired Alerts to Splunk — each maps to any object or custom field on the other side. | |
| Scenarios Versions such as budget, forecast, and actuals that give exported figures their context | 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. | Scenarios is specific to Pigment and KV Store Collections to Splunk — each maps to any object or custom field on the other side. | |
| Data imports Scheduled loads that bring actuals from ERPs, CRMs, and HRIS into the model | 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. | Data imports is specific to Pigment and Indexes to Splunk — each maps to any object or custom field on the other side. |
How changes propagate between Pigment and Splunk
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.
Pigment Splunk Interval-based propagation
DetectionStacksync polls Pigment for changes on an incremental schedule, reading only records changed since the previous pass. No change feed.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Splunk Pigment 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 written to Pigment through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Pigment: Subject to the platform's API rate limits.
- 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.
What ships with Pigment ⇄ Splunk
Connect Pigment and Splunk for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Pigment–Splunk connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Pigment or Splunk 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 Pigment or Splunk record.
Observability
Monitoring
Track your Pigment ⇄ Splunk sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Pigment and Splunk.
How the Pigment and Splunk connectors work
Pigment
- Integration surface
- REST-based import and export API
- Authentication
- API keys, issued separately for import and export
- Change detection
- no change feed; syncs run scheduled imports and exports
- Capabilities
- read · write
- Rate limits
- subject to the platform's API rate limits
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.
How it works
How to connect Pigment to Splunk — 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 Pigment 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.
Pigment
connected
Splunk
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Pigment 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.
objects · Pigment ⇄ SplunkCustomers 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.
Pigment SplunkCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Pigment and Splunk integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Pigment and Splunk: authenticate both systems, choose the objects to sync (such as Pigment's Applications and Metrics), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both Pigment and Splunk. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Pigment: No change feed; syncs run scheduled imports and exports. 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 Pigment side: Tables, Scenarios, Data imports, Users and permissions, plus custom fields where Pigment exposes them. On the Splunk side: Indexes, HTTP Event Collector, Users and Roles, Dashboards. 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 Pigment and Splunk: Where Splunk keeps account or user records: finance attributes enrich them; Financial records land in Splunk for reporting; One customer key across both. Status, plan, or outstanding balance from Pigment attaches to the matching account or user in Splunk, so segments and cohorts can be cut by real financial standing.
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
Every pair below is a real-time, two-way sync. Search all 383 integrations available for Pigment and Splunk.
Popular · 4 of 383
No integrations match .
