Real-time
Two-way sync
Changes in MariaDB or Splunk instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Analytics
MariaDB to Splunk integration — real-time, two-way sync
Keep MariaDB 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 MariaDB and Splunk
Give Splunk the users, events, and records that live in MariaDB in real time, and sync the cohorts and scores Splunk computes back into MariaDB 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 MariaDB 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 Stored Procedures, Databases (Schemas), Tables, Views in MariaDB 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 MariaDB, 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 Export Users and Roles into an IAM database for periodic access reviews, or provision them from an identity source of truth.
- 02 Sync fired-alert history and saved-search definitions into Postgres so security and reliability teams query alert trends and detection coverage in SQL.
- 03 Keep several MariaDB instances aligned with one system of record across environments
- 04 Two-way sync between a MariaDB application database and a CRM so both systems hold the same customer records
Common sync patterns
Where Splunk builds cohorts or scores: results your services can read
Segments, cohorts, or scores computed in Splunk sync back into MariaDB, 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 MariaDB land in Splunk as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
One version of each user or account
A user, account, or record corrected in either system updates the other, so the identity your reports group by matches the identity your database stores.
What you can sync between MariaDB 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.
| MariaDB objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. | 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. | System-Versioned Tables is specific to MariaDB and Fired Alerts to Splunk — each maps to any object or custom field on the other side. | |
| JSON Columns Semi-structured payloads validated with JSON functions. | 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. | JSON Columns is specific to MariaDB and KV Store Collections to Splunk — each maps to any object or custom field on the other side. | |
| Stored Procedures Server-side logic that can post-process synced rows. | 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. | Stored Procedures is specific to MariaDB and Indexes to Splunk — each maps to any object or custom field on the other side. | |
| Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | 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. | Databases (Schemas) is specific to MariaDB and HTTP Event Collector to Splunk — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map to records in connected systems. | 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. | Tables is specific to MariaDB and Users and Roles to Splunk — each maps to any object or custom field on the other side. | |
| Views Read-side projections used as outbound sync sources. | 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 is specific to MariaDB and Dashboards to Splunk — each maps to any object or custom field on the other side. |
How changes propagate between MariaDB 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.
MariaDB Splunk Sub-second propagation
DetectionChanges in MariaDB are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Splunk MariaDB 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 MariaDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- MariaDB: No API rate limits; throughput is bounded by connection limits and server resources.
- 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 MariaDB ⇄ Splunk
Connect MariaDB and Splunk for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MariaDB–Splunk connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MariaDB 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 MariaDB or Splunk record.
Observability
Monitoring
Track your MariaDB ⇄ Splunk sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between MariaDB and Splunk.
How the MariaDB and Splunk connectors work
MariaDB
- Integration surface
- SQL wire protocol (MySQL-compatible client/server protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host)
- Change detection
- Database triggers — Stacksync creates deterministic triggers for internal logging and syncing
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits and server resources
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 MariaDB 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 MariaDB 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.
MariaDB
connected
Splunk
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MariaDB 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 · MariaDB ⇄ 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.
MariaDB SplunkCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MariaDB and Splunk integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between MariaDB and Splunk: authenticate both systems, choose the objects to sync (such as MariaDB's System-Versioned Tables and JSON Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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MariaDB: SQL wire protocol (MySQL-compatible client/server protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host). 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. MariaDB: Composite primary keys are not supported (primary key must be a single column). Stacksync's field mapping accounts for these differences between MariaDB and Splunk 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 MariaDB and Splunk 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 MariaDB and Splunk connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MariaDB–Splunk integration in-house.
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Yes — Stacksync ships production-grade connectors for both MariaDB and Splunk. 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
Every pair below is a real-time, two-way sync. Search all 415 integrations available for MariaDB and Splunk.
Popular · 8 of 415
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MariaDB ⇄ Mixpanel -
MariaDB ⇄ Microsoft Power Bi -
MariaDB ⇄ Tableau -
MariaDB ⇄ Adobeanalytics -
Splunk ⇄ Jdbc -
Splunk ⇄ Render Postgres -
Splunk ⇄ PostgreSQL -
Splunk ⇄ Amazon RDS
No integrations match .
