Two-way sync
Changes in Splunk or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Keep Splunk and Tinybird in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Splunk is where teams explore, visualize, and report; Tinybird is the store of record that holds the raw tables and full history behind those views. The two overlap wherever the same events, users, and metrics matter to both, and when the bridge between them is a nightly export or a hand-built extract, dashboards lag the warehouse and analysts spend the morning arguing over whose number is right.
Stacksync syncs Indexes, HTTP Event Collector, Users and Roles, Dashboards in Splunk with Data Sources, Pipes, API Endpoints, Materialized Views in Tinybird field by field, in real time, and in both directions. You decide which system owns which fields, and Stacksync resolves conflicts by rules you set. Whether the flow is warehouse tables feeding live reports or captured events and segments landing back in Tinybird, every copy stays consistent.
Users and accounts tracked in Splunk line up with the customer or user rows in Tinybird on a stable key, so both sides count the same population.
When a record is fixed or backfilled on one side, the change reaches the other without a full reload, keeping history consistent across both.
Metrics and aggregates stay aligned between the two systems, so a figure shown in Splunk matches the Tinybird table it was built from instead of drifting between refreshes.
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 | Tinybird 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. | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. | Indexes is specific to Splunk and API Endpoints to Tinybird — 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. | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. | HTTP Event Collector is specific to Splunk and Materialized Views to Tinybird — 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. | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. | Users and Roles is specific to Splunk and Workspaces to Tinybird — each maps to any object or custom field on the other side. | |
| 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. | Tokens Scoped credentials that control read and append rights per resource. | Dashboards is specific to Splunk and Tokens to Tinybird — each maps to any object or custom field on the other side. | |
| 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. | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | Search Results is specific to Splunk and Data Sources to Tinybird — each maps to any object or custom field on the other side. | |
| 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. | Pipes Chained SQL nodes that transform Data Sources into query-ready results. | Saved Searches is specific to Splunk and Pipes to Tinybird — 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.
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 Tinybird as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Splunk–Tinybird connection.
Changes in Splunk or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Splunk or Tinybird data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Splunk or Tinybird record.
Track your Splunk ⇄ Tinybird sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Splunk and Tinybird.
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 Splunk and Tinybird 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 Splunk and Tinybird 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 Splunk and Tinybird: authenticate both systems, choose the objects to sync (such as Splunk's Indexes and HTTP Event Collector), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Splunk and Tinybird. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection 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. On Tinybird: Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Splunk side: Indexes, HTTP Event Collector, Users and Roles, Dashboards, plus custom fields where Splunk exposes them. On the Tinybird side: Data Sources, Pipes, API Endpoints, Materialized 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 Splunk and Tinybird: Shared user and account keys; Corrections propagate instead of reloading; One number both sides agree on. Users and accounts tracked in Splunk line up with the customer or user rows in Tinybird on a stable key, so both sides count the same population.
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 403 integrations available for Splunk and Tinybird.