Real-time
Two-way sync
Changes in Rockset or Splunk instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Analytics
Rockset to Splunk integration — real-time, two-way sync
Keep Rockset 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Rockset and Splunk
Put the same events, users, and metrics on both sides: Splunk and Rockset stay current in real time, in both directions.
Splunk is where teams explore, visualize, and report; Rockset 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 Fired Alerts, KV Store Collections, Indexes, HTTP Event Collector in Splunk with Aliases, Integrations, Virtual Instances, Collections in Rockset 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 Rockset, every copy stays consistent.
Common use cases
- 01 Ingest application, CRM, or database records into Splunk via the HTTP Event Collector so operational data lands alongside logs for correlation and dashboards.
- 02 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.
- 03 Read query results back into an operational database to expose computed metrics to applications.
- 04 Power in-app search and filtering over synced operational data using SQL over REST.
Common sync patterns
Where Splunk produces segments or scores: results back to the warehouse
Cohorts, segments, and computed metrics defined in Splunk write to Rockset as tables the rest of the stack can query and join.
Shared user and account keys
Users and accounts tracked in Splunk line up with the customer or user rows in Rockset on a stable key, so both sides count the same population.
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.
What you can sync between Rockset 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.
| Rockset objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Virtual Instances Isolated compute units that separate ingest from query workloads. | 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. | Virtual Instances is specific to Rockset and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| Collections Schemaless document containers that ingested and synced records land in. | 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. | Collections is specific to Rockset and Fired Alerts to Splunk — each maps to any object or custom field on the other side. | |
| Documents JSON records addressable by _id, written via the Write API in sync pipelines. | 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. | Documents is specific to Rockset and KV Store Collections to Splunk — each maps to any object or custom field on the other side. | |
| Workspaces Namespaces that group collections and query lambdas per team or environment. | 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. | Workspaces is specific to Rockset and Indexes to Splunk — each maps to any object or custom field on the other side. | |
| Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | 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. | Query Lambdas is specific to Rockset and HTTP Event Collector to Splunk — each maps to any object or custom field on the other side. | |
| Aliases Stable names that point at collections, used to swap datasets without changing queries. | 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. | Aliases is specific to Rockset and Users and Roles to Splunk — each maps to any object or custom field on the other side. |
How changes propagate between Rockset 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.
Rockset Splunk Interval-based propagation
DetectionStacksync polls Rockset for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL queries on timestamp fields.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Splunk Rockset 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 Rockset as a row-level write, with types converted between the two schemas.
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.
What ships with Rockset ⇄ Splunk
Connect Rockset and Splunk for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Rockset–Splunk connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Rockset 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 Rockset or Splunk record.
Observability
Monitoring
Track your Rockset ⇄ Splunk sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Rockset and Splunk.
How the Rockset and Splunk connectors work
Rockset
- Integration surface
- REST API (SQL over HTTP, plus a document Write API)
- Authentication
- API key
- Change detection
- Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
- Capabilities
- read · write
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 Rockset 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 Rockset 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.
Rockset
connected
Splunk
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Rockset 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 · Rockset ⇄ 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.
Rockset SplunkCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Rockset and Splunk integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Rockset and Splunk: authenticate both systems, choose the objects to sync (such as Rockset's Virtual Instances and Collections), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Rockset 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 Rockset: Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors. 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.
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On the Splunk side: Fired Alerts, KV Store Collections, Indexes, HTTP Event Collector, plus custom fields where Splunk exposes them. On the Rockset side: Aliases, Integrations, Virtual Instances, Collections. 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 Rockset and Splunk: Where Splunk produces segments or scores: results back to the warehouse; Shared user and account keys; Corrections propagate instead of reloading. Cohorts, segments, and computed metrics defined in Splunk write to Rockset as tables the rest of the stack can query and join.
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 474 integrations available for Rockset and Splunk.
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Rockset ⇄ Microsoft Power Bi -
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Splunk ⇄ Greenplum -
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Splunk ⇄ Starburst Enterprise
No integrations match .
