Real-time
Two-way sync
Changes in MongoDB or Splunk instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Analytics
MongoDB to Splunk integration — real-time, two-way sync
Keep MongoDB 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 MongoDB and Splunk
Give Splunk the users, events, and records that live in MongoDB in real time, and sync the cohorts and scores Splunk computes back into MongoDB 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 MongoDB 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 Documents, Embedded documents and arrays, Indexes, Views in MongoDB with HTTP Event Collector, Users and Roles, Dashboards, Search Results 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 MongoDB, 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 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 Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
- 04 Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.
Common sync patterns
Where Splunk tracks product events: behavior onto stored records
Signup, usage, and lifecycle events captured in Splunk sync into MongoDB 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 MongoDB, 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 MongoDB 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 MongoDB 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.
| MongoDB objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Indexes Keep lookups by sync key fast on large collections. | 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. | |
| Documents BSON records created, updated, and deleted during syncs, keyed by _id. | 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. | Documents is specific to MongoDB and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | 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. | Embedded documents and arrays is specific to MongoDB and Fired Alerts to Splunk — each maps to any object or custom field on the other side. | |
| Views Read-only aggregation-defined sources for filtered sync datasets. | 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. | Views is specific to MongoDB and KV Store Collections to Splunk — each maps to any object or custom field on the other side. | |
| Change streams The oplog-backed event feed that powers real-time change capture. | 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. | Change streams is specific to MongoDB and HTTP Event Collector to Splunk — each maps to any object or custom field on the other side. | |
| GridFS files Chunked file storage whose metadata can be referenced by synced documents. | 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. | GridFS files is specific to MongoDB and Users and Roles to Splunk — each maps to any object or custom field on the other side. |
How changes propagate between MongoDB 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.
MongoDB Splunk Sub-second propagation
DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Splunk MongoDB 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 MongoDB 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 MongoDB ⇄ Splunk
Connect MongoDB and Splunk for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MongoDB–Splunk connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MongoDB 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 MongoDB or Splunk record.
Observability
Monitoring
Track your MongoDB ⇄ Splunk sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between MongoDB and Splunk.
How the MongoDB and Splunk connectors work
MongoDB
- Integration surface
- MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
- Authentication
- Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
- Change detection
- MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
- Capabilities
- read · write · CDC
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 MongoDB 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 MongoDB 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.
MongoDB
connected
Splunk
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MongoDB 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 · MongoDB ⇄ 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.
MongoDB SplunkCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MongoDB and Splunk integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between MongoDB and Splunk: authenticate both systems, choose the objects to sync (such as MongoDB's Indexes and Documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Splunk side: HTTP Event Collector, Users and Roles, Dashboards, Search Results, plus custom fields where Splunk exposes them. On the MongoDB side: Documents, Embedded documents and arrays, Indexes, Views. 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 MongoDB and Splunk: Where Splunk tracks product events: behavior onto stored records; Where Splunk builds cohorts or scores: results your services can read; Analytics on live operational data, minus the pipeline. Signup, usage, and lifecycle events captured in Splunk sync into MongoDB as rows, so applications and internal tools can read behavioral data next to the records they already keep.
-
MongoDB: MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management. Authentication: Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required. 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). Stacksync manages authentication, retries, and rate limits on both sides.
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Splunk: Searches are asynchronous: POST /services/search/jobs returns a search ID (SID), and results are fetched from /services/search/jobs/{sid}/results once the job completes; oneshot and export modes return results synchronously. MongoDB: Only ObjectId primary keys are supported for collections. Stacksync's field mapping accounts for these differences between MongoDB and Splunk without custom code.
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 512 integrations available for MongoDB and Splunk.
Popular · 8 of 512
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MongoDB ⇄ Mixpanel -
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Splunk ⇄ Firebase -
Splunk ⇄ SingleStore -
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Splunk ⇄ Amazon Lightsail
No integrations match .
