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Database ⇄ Analytics

OpenSearch to Splunk integration — real-time, two-way sync

Keep OpenSearch 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect OpenSearch and Splunk

Give Splunk the users, events, and records that live in OpenSearch in real time, and sync the cohorts and scores Splunk computes back into OpenSearch where your applications read them.

A database holds the rows your business runs on: the users, events, orders, and records that every service reads and writes. Splunk is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from OpenSearch into Splunk usually means a hand-built extract or a change-data-capture pipeline that breaks the moment a column is renamed, and reporting that always trails last night's load.

Stacksync syncs Ingest pipelines, Data streams, Snapshots, Indexes in OpenSearch with Dashboards, Search Results, Saved Searches, Fired Alerts in Splunk in real time and in both directions. Operational rows flow into Splunk as they change, so dashboards read current data with no pipeline to maintain, and the segments, cohorts, or scores Splunk computes flow back into OpenSearch, where the applications and services that read from it get them at normal query latency. Field-level mapping, schema and type translation, and conflict resolution are handled for you.

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 Index support tickets and activity logs from SaaS tools for operational dashboards.
  • 04 Backfill or rebuild indexes from a database after mapping changes without hand-written ETL.

Common sync patterns

Where Splunk tracks product events: behavior onto stored records

Signup, usage, and lifecycle events captured in Splunk sync into OpenSearch as rows, so applications and internal tools can read behavioral data next to the records they already keep.

Where Splunk builds cohorts or scores: results your services can read

Segments, cohorts, or scores computed in Splunk sync back into OpenSearch, where the services that read from the database act on them at query speed without calling the analytics API.

Analytics on live operational data, minus the pipeline

The users, events, orders, and records stored in OpenSearch land in Splunk as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.

What you can sync between OpenSearch 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.

OpenSearch objects Splunk objects How this pairing syncs
Indexes The core container; synced records land in indexes with defined mappings 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. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Index templates Mapping and settings presets applied to new indexes a sync creates 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. Index templates is specific to OpenSearch and Fired Alerts to Splunk — each maps to any object or custom field on the other side.
Ingest pipelines Server-side processors that transform documents as they are written 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. Ingest pipelines is specific to OpenSearch and KV Store Collections to Splunk — each maps to any object or custom field on the other side.
Data streams Append-oriented time-series storage for logs and events pushed from source systems 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. Data streams is specific to OpenSearch and HTTP Event Collector to Splunk — each maps to any object or custom field on the other side.
Snapshots Backup artifacts, relevant when reseeding an index from a repository 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. Snapshots is specific to OpenSearch and Users and Roles to Splunk — each maps to any object or custom field on the other side.
Documents JSON records written via the index and bulk APIs and read via search queries 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. Documents is specific to OpenSearch and Dashboards to Splunk — each maps to any object or custom field on the other side.

How changes propagate between OpenSearch 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.

OpenSearch Splunk Interval-based propagation

DetectionStacksync polls OpenSearch for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.

Splunk OpenSearch 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 OpenSearch through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • OpenSearch: Throughput bounded by cluster sizing rather than fixed API quotas.
  • 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 OpenSearch ⇄ Splunk

Connect OpenSearch and Splunk for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every OpenSearch–Splunk connection.

Real-time

Two-way sync

Changes in OpenSearch or Splunk instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever OpenSearch 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 OpenSearch or Splunk record.

Observability

Monitoring

Track your OpenSearch ⇄ Splunk sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between OpenSearch and Splunk.

How the OpenSearch and Splunk connectors work

OpenSearch

Integration surface
REST API over HTTP(S) with JSON payloads
Authentication
basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
Change detection
no native change feed; reads rely on queries with scroll or point-in-time polling
Capabilities
read · write
Rate limits
throughput bounded by cluster sizing rather than fixed API quotas

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 OpenSearch 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.

  1. 01

    Connect your apps

    Authenticate OpenSearch 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    OpenSearch connected
    Splunk connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the OpenSearch 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · OpenSearch ⇄ Splunk
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    OpenSearch Splunk
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

OpenSearch and Splunk integration FAQ

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.

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→ 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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 396 integrations available for OpenSearch and Splunk.

Popular · 7 of 396
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