Two-way sync
Changes in Splunk or Supabase instantly reflect in both systems. No stale data, no manual imports.
Keep Splunk and Supabase 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 Supabase 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 Tables, Views, Schemas, auth.users in Supabase 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 Supabase, 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.
The users, events, orders, and records stored in Supabase land in Splunk as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
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 Supabase as they change, instead of going stale after a one-time import.
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 | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | Search Results is specific to Splunk and Row Level Security Policies to Supabase — 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. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | Saved Searches is specific to Splunk and JSONB Columns to Supabase — 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. | Database Functions Postgres functions that can transform or validate synced rows. | Fired Alerts is specific to Splunk and Database Functions to Supabase — 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. | Storage Object Metadata File metadata rows that can be joined to synced application data. | KV Store Collections is specific to Splunk and Storage Object Metadata to Supabase — 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. | Tables Standard Postgres tables; the primary two-way sync target. | Indexes is specific to Splunk and Tables to Supabase — 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. | Views Read-side projections exposed to outbound syncs. | HTTP Event Collector is specific to Splunk and Views to Supabase — 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 Supabase as a row-level write, with types converted between the two schemas.
DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.
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–Supabase connection.
Changes in Splunk or Supabase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Splunk or Supabase 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 Supabase record.
Track your Splunk ⇄ Supabase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Splunk and Supabase.
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 Supabase 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 Supabase 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 Supabase: authenticate both systems, choose the objects to sync (such as Splunk's Search Results and Saved Searches), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Splunk and Supabase: 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 Supabase land in Splunk as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
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). Supabase: Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST). Authentication: Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer. Stacksync manages authentication, retries, and rate limits on both sides.
Splunk: Authentication supports HTTP Basic, a session key from /services/auth/login (Authorization: Splunk <key>), and bearer authentication tokens; the HTTP Event Collector uses its own per-input token. Supabase: PostgREST auto-generates a REST endpoint per table, with Row Level Security policies gating access at the row level. Stacksync's field mapping accounts for these differences between Splunk and Supabase without custom code.
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 Splunk and Supabase records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Splunk and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Splunk–Supabase integration in-house.
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 512 integrations available for Splunk and Supabase.