Real-time
Two-way sync
Changes in SingleStore or Splunk instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Analytics
SingleStore to Splunk integration — real-time, two-way sync
Keep SingleStore 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 SingleStore and Splunk
Give Splunk the users, events, and records that live in SingleStore in real time, and sync the cohorts and scores Splunk computes back into SingleStore 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 SingleStore 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, Indexes and Shard Keys, Databases, Tables (rowstore and columnstore) in SingleStore with Users and Roles, Dashboards, Search Results, Saved Searches 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 SingleStore, 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 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.
- 02 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.
- 03 Keep reference data consistent between SingleStore and application databases.
- 04 Feed synced operational data into applications that need low-latency responses over fresh data.
Common sync patterns
Analytics on live operational data, minus the pipeline
The users, events, orders, and records stored in SingleStore 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.
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 SingleStore as they change, instead of going stale after a one-time import.
What you can sync between SingleStore 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.
| SingleStore objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | 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. | Pipelines is specific to SingleStore and HTTP Event Collector to Splunk — each maps to any object or custom field on the other side. | |
| Stored Procedures Existing logic sometimes invoked on write paths. | 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. | Stored Procedures is specific to SingleStore and Users and Roles to Splunk — each maps to any object or custom field on the other side. | |
| Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | 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. | Indexes and Shard Keys is specific to SingleStore and Dashboards to Splunk — each maps to any object or custom field on the other side. | |
| Databases The connection target containing the tables a sync addresses. | 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. | Databases is specific to SingleStore and Search Results to Splunk — each maps to any object or custom field on the other side. | |
| Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | 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 (rowstore and columnstore) is specific to SingleStore and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| Views Read-only projections used as curated sync sources. | 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. | Views is specific to SingleStore and Fired Alerts to Splunk — each maps to any object or custom field on the other side. |
How changes propagate between SingleStore 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.
SingleStore Splunk Interval-based propagation
DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Splunk SingleStore 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 SingleStore as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
- 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 SingleStore ⇄ Splunk
Connect SingleStore and Splunk for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SingleStore–Splunk connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever SingleStore 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 SingleStore or Splunk record.
Observability
Monitoring
Track your SingleStore ⇄ Splunk sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between SingleStore and Splunk.
How the SingleStore and Splunk connectors work
SingleStore
- Integration surface
- SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by workspace or cluster size
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 SingleStore 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 SingleStore 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.
SingleStore
connected
Splunk
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the SingleStore 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 · SingleStore ⇄ 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.
SingleStore SplunkCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
SingleStore and Splunk integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between SingleStore and Splunk: authenticate both systems, choose the objects to sync (such as SingleStore's Pipelines and Stored Procedures), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Change detection on SingleStore: Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions. 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: Users and Roles, Dashboards, Search Results, Saved Searches, plus custom fields where Splunk exposes them. On the SingleStore side: Stored Procedures, Indexes and Shard Keys, Databases, Tables (rowstore and columnstore). 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 SingleStore and Splunk: Analytics on live operational data, minus the pipeline; One version of each user or account; Filter and grouping dimensions kept fresh. The users, events, orders, and records stored in SingleStore land in Splunk as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
-
SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. 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.
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 421 integrations available for SingleStore and Splunk.
Popular · 8 of 421
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SingleStore ⇄ Microsoft Power Bi -
SingleStore ⇄ Tableau -
SingleStore ⇄ Adobeanalytics -
SingleStore ⇄ Pendo -
Splunk ⇄ Google Cloud Spanner - Splunk ⇄ Google Cloud SQL
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Splunk ⇄ IBM AS/400 -
Splunk ⇄ IBM Informix
No integrations match .
