Real-time
Two-way sync
Changes in Splunk or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ Data warehouse
Splunk to StarRocks integration — real-time, two-way sync
Keep Splunk and StarRocks in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Splunk and StarRocks
Put the same events, users, and metrics on both sides: Splunk and StarRocks stay current in real time, in both directions.
Splunk is where teams explore, visualize, and report; StarRocks is the store of record that holds the raw tables and full history behind those views. The two overlap wherever the same events, users, and metrics matter to both, and when the bridge between them is a nightly export or a hand-built extract, dashboards lag the warehouse and analysts spend the morning arguing over whose number is right.
Stacksync syncs KV Store Collections, Indexes, HTTP Event Collector, Users and Roles in Splunk with Views, Partitions, Columns, Databases in StarRocks field by field, in real time, and in both directions. You decide which system owns which fields, and Stacksync resolves conflicts by rules you set. Whether the flow is warehouse tables feeding live reports or captured events and segments landing back in StarRocks, every copy stays consistent.
Common use cases
- 01 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.
- 02 Provision and update Saved Searches, alerts, and Dashboards from a Git-backed config repository so detections and reports stay versioned and consistent across search heads.
- 03 Serve customer-facing analytics from SaaS data synced into one analytical store
- 04 Consolidate several sources into StarRocks as the query layer while Stacksync handles movement
Common sync patterns
Corrections propagate instead of reloading
When a record is fixed or backfilled on one side, the change reaches the other without a full reload, keeping history consistent across both.
One number both sides agree on
Metrics and aggregates stay aligned between the two systems, so a figure shown in Splunk matches the StarRocks table it was built from instead of drifting between refreshes.
Where StarRocks holds the source tables: live data in the reporting layer
Records maintained in StarRocks flow into Splunk as they change, so dashboards and reports read current rows rather than an overnight extract.
What you can sync between Splunk and StarRocks
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 | StarRocks 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. | Columns Columnar storage with types mapped from source systems during sync. | KV Store Collections is specific to Splunk and Columns to StarRocks — 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. | Databases Top-level namespaces addressed exactly as in MySQL clients. | Indexes is specific to Splunk and Databases to StarRocks — 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. | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | HTTP Event Collector is specific to Splunk and Tables to StarRocks — 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. | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | Users and Roles is specific to Splunk and Materialized views to StarRocks — 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. | Views Logical views for shaping analytical reads. | Dashboards is specific to Splunk and Views to StarRocks — 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. | Partitions Time or range partitions that scope loads and retention. | Search Results is specific to Splunk and Partitions to StarRocks — each maps to any object or custom field on the other side. |
How changes propagate between Splunk and StarRocks
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 StarRocks 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 StarRocks as a row-level write, with types converted between the two schemas.
StarRocks Splunk Interval-based propagation
DetectionStacksync polls StarRocks for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling when reading.
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.
- StarRocks: Ingestion throughput is bounded by cluster resources rather than API quotas.
What ships with Splunk ⇄ StarRocks
Connect Splunk and StarRocks for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Splunk–StarRocks connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Splunk or StarRocks 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 StarRocks record.
Observability
Monitoring
Track your Splunk ⇄ StarRocks 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 StarRocks.
How the Splunk and StarRocks 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.
StarRocks
- Integration surface
- MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion
- Authentication
- Database credentials (MySQL-compatible username/password)
- Change detection
- Query-based polling when reading; StarRocks is most often the destination side of a sync
- Capabilities
- read · write
- Rate limits
- Ingestion throughput is bounded by cluster resources rather than API quotas
How it works
How to connect Splunk to StarRocks — 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 StarRocks 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
StarRocks
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Splunk and StarRocks 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 ⇄ StarRocksCustomers 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 StarRocksCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Splunk and StarRocks integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Splunk and StarRocks: 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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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 StarRocks: Query-based polling when reading; StarRocks is most often the destination side of a sync. 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: KV Store Collections, Indexes, HTTP Event Collector, Users and Roles, plus custom fields where Splunk exposes them. On the StarRocks side: Views, Partitions, Columns, Databases. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Splunk and StarRocks: Corrections propagate instead of reloading; One number both sides agree on; Where StarRocks holds the source tables: live data in the reporting layer. When a record is fixed or backfilled on one side, the change reaches the other without a full reload, keeping history consistent across both.
-
Splunk: 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). StarRocks: MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion. Authentication: Database credentials (MySQL-compatible username/password). Stacksync manages authentication, retries, and rate limits on both sides.
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 406 integrations available for Splunk and StarRocks.
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Splunk ⇄ BigQuery -
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