Real-time
Two-way sync
Changes in Splunk or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ Database
Splunk to SQL Server integration — real-time, two-way sync
Keep Splunk and SQL Server 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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Why teams connect Splunk and SQL Server
Give Splunk the users, events, and records that live in SQL Server in real time, and sync the cohorts and scores Splunk computes back into SQL Server 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 SQL Server 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 Columns, Primary and Unique Keys, CDC Change Tables, Stored Procedures in SQL Server with KV Store Collections, Indexes, HTTP Event Collector, Users and Roles 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 SQL Server, 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 Expose SaaS records as SQL Server tables that existing SSRS reports and internal apps can query
- 04 Mirror on-premises ERP data held in SQL Server into cloud CRM and support systems
Common sync patterns
Where Splunk builds cohorts or scores: results your services can read
Segments, cohorts, or scores computed in Splunk sync back into SQL Server, 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 SQL Server 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 Splunk and SQL Server
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 | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Columns Field-level mapping targets with T-SQL types. | Saved Searches is specific to Splunk and Columns to SQL Server — 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. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Fired Alerts is specific to Splunk and Primary and Unique Keys to SQL Server — 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. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | KV Store Collections is specific to Splunk and CDC Change Tables to SQL Server — each maps to any object or custom field on the other side. | |
| 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 T-SQL logic that can validate or post-process synced rows. | Indexes is specific to Splunk and Stored Procedures to SQL Server — 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. | Databases Instance-level databases that scope a sync's reads and writes. | HTTP Event Collector is specific to Splunk and Databases to SQL Server — 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. | Schemas Namespaces (dbo and custom) used to organize synced tables. | Users and Roles is specific to Splunk and Schemas to SQL Server — each maps to any object or custom field on the other side. |
How changes propagate between Splunk and SQL Server
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 SQL Server 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 SQL Server as a row-level write, with types converted between the two schemas.
SQL Server Splunk Sub-second propagation
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
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.
- SQL Server: No API rate limits; throughput depends on instance resources, licensing tier, and connection limits.
What ships with Splunk ⇄ SQL Server
Connect Splunk and SQL Server for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Splunk–SQL Server connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Splunk or SQL Server 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 SQL Server record.
Observability
Monitoring
Track your Splunk ⇄ SQL Server 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 SQL Server.
How the Splunk and SQL Server 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.
SQL Server
- Integration surface
- SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers
- Authentication
- Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page
- Change detection
- SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
How it works
How to connect Splunk to SQL Server — 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 SQL Server 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
SQL Server
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Splunk and SQL Server 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 ⇄ SQL ServerCustomers 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 SQL ServerCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Splunk and SQL Server integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Splunk and SQL Server: authenticate both systems, choose the objects to sync (such as Splunk's Saved Searches and Fired Alerts), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Splunk side: KV Store Collections, Indexes, HTTP Event Collector, Users and Roles, plus custom fields where Splunk exposes them. On the SQL Server side: Columns, Primary and Unique Keys, CDC Change Tables, Stored Procedures. 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.
-
Common patterns for Splunk and SQL Server: Where Splunk builds cohorts or scores: results your services can read; Analytics on live operational data, minus the pipeline; One version of each user or account. Segments, cohorts, or scores computed in Splunk sync back into SQL Server, where the services that read from the database act on them at query speed without calling the analytics API.
-
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). SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
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Splunk: The KV Store is a MongoDB-backed, app-scoped collection store with full CRUD and batch endpoints (/servicesNS/{owner}/{app}/storage/collections/data/{collection}), so lookup records can be read and written in both directions. SQL Server: CDC setup requires a one-time script run by a DBA with sysadmin privileges. Stacksync's field mapping accounts for these differences between Splunk and SQL Server 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
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