Two-way sync
Changes in Azure SQL Database or Splunk instantly reflect in both systems. No stale data, no manual imports.
Keep Azure SQL Database 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.
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 Azure SQL Database 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, Change tracking / CDC tables, Tables, Views in Azure SQL Database 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 Azure SQL Database, 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.
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.
Attributes teams slice by, such as plan, region, or account owner, stay current in Splunk because they sync from Azure SQL Database as they change, instead of going stale after a one-time import.
Signup, usage, and lifecycle events captured in Splunk sync into Azure SQL Database as rows, so applications and internal tools can read behavioral data next to the records they already keep.
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.
| Azure SQL Database objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | 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. | Change tracking / CDC tables is specific to Azure SQL Database and Users and Roles to Splunk — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map one-to-one to records in the paired system. | 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. | Tables is specific to Azure SQL Database and Dashboards to Splunk — each maps to any object or custom field on the other side. | |
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | Search Results SPL searches dispatched via POST /services/search/jobs return a search ID (SID); results are pulled from /services/search/jobs/{sid}/results once the job completes, or synchronously via oneshot/export mode. The primary read path for streaming indexed events out to a warehouse. | Views is specific to Azure SQL Database and Search Results to Splunk — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | 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. | Schemas is specific to Azure SQL Database and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | 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. | Rows and columns is specific to Azure SQL Database and Fired Alerts to Splunk — each maps to any object or custom field on the other side. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | 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. | Stored procedures is specific to Azure SQL Database and KV Store Collections to Splunk — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Azure SQL Database are captured at the source via change data capture — no polling loop against its API. Change data capture or change tracking, both supported on Azure SQL Database.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
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 Azure SQL Database as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–Splunk connection.
Changes in Azure SQL Database or Splunk instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure SQL Database or Splunk data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure SQL Database or Splunk record.
Track your Azure SQL Database ⇄ Splunk sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure SQL Database and Splunk.
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.
Authenticate Azure SQL Database 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.
Pick the Azure SQL Database 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Azure SQL Database and Splunk: authenticate both systems, choose the objects to sync (such as Azure SQL Database's Change tracking / CDC tables and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Azure SQL Database and Splunk. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure SQL Database: Change data capture or change tracking, both supported on Azure SQL Database; polling as a fallback. On Splunk: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Splunk side: HTTP Event Collector, Users and Roles, Dashboards, Search Results, plus custom fields where Splunk exposes them. On the Azure SQL Database side: Stored procedures, Change tracking / CDC tables, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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 Azure SQL Database and Splunk: One version of each user or account; Filter and grouping dimensions kept fresh; Where Splunk tracks product events: behavior onto stored records. 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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 415 integrations available for Azure SQL Database and Splunk.