Real-time
Two-way sync
Changes in Hyperline or Splunk instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Analytics
Hyperline to Splunk integration — real-time, two-way sync
Keep Hyperline 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
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Hyperline and Splunk
Feed the customers, invoices, and revenue records in Hyperline into Splunk in real time, so dashboards and reports run on current numbers instead of last night's export.
Hyperline 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 Payments, Billable events, Credit notes, Customers in Hyperline in sync with Dashboards, Search Results, Saved Searches, Fired Alerts in Splunk, field by field and in real time. A customer, invoice, or amount created or corrected in Hyperline 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 Create billing customers automatically when new accounts appear in the CRM or product database.
- 02 Sync Hyperline customers and subscription status into a CRM so sales and success teams see billing state on the account record.
- 03 Export Users and Roles into an IAM database for periodic access reviews, or provision them from an identity source of truth.
- 04 Sync fired-alert history and saved-search definitions into Postgres so security and reliability teams query alert trends and detection coverage in SQL.
Common sync patterns
Where Splunk keeps account or user records: finance attributes enrich them
Status, plan, or outstanding balance from Hyperline 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 Hyperline 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 Hyperline is matched to the corresponding record in Splunk, so financial numbers join cleanly to whatever Splunk already reports on.
What you can sync between Hyperline 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.
| Hyperline objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Products / prices The catalog of products and price configurations referenced by subscriptions. | 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. | Products / prices is specific to Hyperline and Dashboards to Splunk — each maps to any object or custom field on the other side. | |
| Invoices Issued billing documents synced into accounting and reporting systems. | 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. | Invoices is specific to Hyperline and Search Results to Splunk — each maps to any object or custom field on the other side. | |
| Payments Settlement records used to reconcile revenue against invoices. | 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. | Payments is specific to Hyperline and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| Billable events Metered consumption events ingested to drive usage-based charges. | 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. | Billable events is specific to Hyperline and Fired Alerts to Splunk — each maps to any object or custom field on the other side. | |
| Credit notes Adjustments and refunds synced for accurate revenue 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. | Credit notes is specific to Hyperline and KV Store Collections to Splunk — each maps to any object or custom field on the other side. | |
| Customers Billing accounts that syncs match against CRM and product records. | 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 Hyperline and Indexes to Splunk — each maps to any object or custom field on the other side. |
How changes propagate between Hyperline 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.
Hyperline Splunk Sub-second propagation
DetectionHyperline notifies Stacksync of record changes through webhook events. Webhooks for billing events, with polling as a fallback.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Splunk Hyperline 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 Hyperline through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Hyperline: 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 Hyperline ⇄ Splunk
Connect Hyperline and Splunk for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Hyperline–Splunk connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Hyperline 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 Hyperline or Splunk record.
Observability
Monitoring
Track your Hyperline ⇄ Splunk sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Hyperline and Splunk.
How the Hyperline and Splunk connectors work
Hyperline
- Integration surface
- REST API
- Authentication
- API key (bearer token)
- Change detection
- Webhooks for billing events, with polling as a fallback
- Capabilities
- read · write · webhooks
- 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 Hyperline 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 Hyperline 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.
Hyperline
connected
Splunk
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Hyperline 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 · Hyperline ⇄ 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.
Hyperline SplunkCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Hyperline and Splunk integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Hyperline and Splunk: authenticate both systems, choose the objects to sync (such as Hyperline's Products / prices and Invoices), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Hyperline: It exposes a documented public API covering the standard billing entities: customers, subscriptions, invoices, and usage events, plus a webhook system for billing events. Splunk: Indexed events are immutable and time-stamped, so incremental extraction advances an earliest/latest window over _time (or _indextime) rather than using a modified-date CDC feed. Stacksync's field mapping accounts for these differences between Hyperline and Splunk without custom code.
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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 Hyperline and Splunk 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 Hyperline and Splunk connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Hyperline–Splunk integration in-house.
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Yes — Stacksync ships production-grade connectors for both Hyperline and Splunk. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Hyperline: Webhooks for billing events, with polling 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.
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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