Real-time
Two-way sync
Changes in Splunk or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ Database
Splunk to YugabyteDB integration — real-time, two-way sync
Keep Splunk and YugabyteDB 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 YugabyteDB
Give Splunk the users, events, and records that live in YugabyteDB in real time, and sync the cohorts and scores Splunk computes back into YugabyteDB 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 YugabyteDB 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 Databases and Keyspaces, Tables, Indexes, Materialized Views in YugabyteDB 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 YugabyteDB, 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 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.
- 02 Export Users and Roles into an IAM database for periodic access reviews, or provision them from an identity source of truth.
- 03 Consolidate data from regional YugabyteDB clusters into one reporting store.
- 04 Run log-based CDC from YugabyteDB tables into a warehouse for analytics without batch dumps.
Common sync patterns
Filter and grouping dimensions kept fresh
Attributes teams slice by, such as plan, region, or account owner, stay current in Splunk because they sync from YugabyteDB as they change, instead of going stale after a one-time import.
Where Splunk tracks product events: behavior onto stored records
Signup, usage, and lifecycle events captured in Splunk sync into YugabyteDB 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 YugabyteDB, where the services that read from the database act on them at query speed without calling the analytics API.
What you can sync between Splunk and YugabyteDB
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 | YugabyteDB objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Indexes Global secondary indexes maintained transactionally alongside table writes. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| 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. | Tables Distributed SQL tables split into tablets; the primary read and write targets. | Saved Searches is specific to Splunk and Tables to YugabyteDB — each maps to any object or custom field on the other side. | |
| 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. | Materialized Views Precomputed query results available in YSQL for read-side shaping. | Fired Alerts is specific to Splunk and Materialized Views to YugabyteDB — each maps to any object or custom field on the other side. | |
| 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. | Schemas Postgres-style namespaces in YSQL used to organize synced data. | KV Store Collections is specific to Splunk and Schemas to YugabyteDB — 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. | Sequences ID generation objects relevant when syncing writes into YSQL tables. | HTTP Event Collector is specific to Splunk and Sequences to YugabyteDB — 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. | CDC Streams Change streams over the storage-layer WAL consumed through logical replication or Debezium-compatible connectors. | Users and Roles is specific to Splunk and CDC Streams to YugabyteDB — each maps to any object or custom field on the other side. |
How changes propagate between Splunk and YugabyteDB
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 YugabyteDB 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 YugabyteDB as a row-level write, with types converted between the two schemas.
YugabyteDB Splunk Sub-second propagation
DetectionChanges in YugabyteDB are captured at the source via change data capture — no polling loop against its API. Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors.
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.
- YugabyteDB: No API rate limits; throughput scales with cluster nodes and tablet distribution.
What ships with Splunk ⇄ YugabyteDB
Connect Splunk and YugabyteDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Splunk–YugabyteDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Splunk or YugabyteDB 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 YugabyteDB record.
Observability
Monitoring
Track your Splunk ⇄ YugabyteDB 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 YugabyteDB.
How the Splunk and YugabyteDB 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.
YugabyteDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API
- Authentication
- Database credentials
- Change detection
- Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput scales with cluster nodes and tablet distribution.
How it works
How to connect Splunk to YugabyteDB — 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 YugabyteDB 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
YugabyteDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Splunk and YugabyteDB 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 ⇄ YugabyteDBCustomers 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 YugabyteDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Splunk and YugabyteDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Splunk and YugabyteDB: authenticate both systems, choose the objects to sync (such as Splunk's Indexes and Saved Searches), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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). YugabyteDB: SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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Splunk: Splunk exposes two API surfaces: the management REST API (default port 8089) for search jobs, saved searches, KV Store, indexes, users, and roles, and the HTTP Event Collector (default port 8088, port 443 on Splunk Cloud) for pushing events and metrics in — so the connector both reads from and writes into Splunk. YugabyteDB: CDC is exposed from the storage-layer WAL through PostgreSQL logical replication and Debezium-compatible connectors. Stacksync's field mapping accounts for these differences between Splunk and YugabyteDB 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 Splunk and YugabyteDB 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 Splunk and YugabyteDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Splunk–YugabyteDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Splunk and YugabyteDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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No integrations match .
