Real-time
Two-way sync
Changes in Scaleway Postgres or Splunk instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Analytics
Scaleway Postgres to Splunk integration — real-time, two-way sync
Keep Scaleway Postgres 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.
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Why teams connect Scaleway Postgres and Splunk
Give Splunk the users, events, and records that live in Scaleway Postgres in real time, and sync the cohorts and scores Splunk computes back into Scaleway Postgres 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 Scaleway Postgres 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 Views, Materialized views, Schemas, Sequences in Scaleway Postgres with Indexes, HTTP Event Collector, Users and Roles, Dashboards 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 Scaleway Postgres, 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 Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
- 04 Replicate the application database into a warehouse for analytics without writing custom pipelines
Common sync patterns
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 Scaleway Postgres as they change, instead of going stale after a one-time import.
Where Splunk tracks product events: behavior onto stored records
Signup, usage, and lifecycle events captured in Splunk sync into Scaleway Postgres as rows, so applications and internal tools can read behavioral data next to the records they already keep.
Where Splunk builds cohorts or scores: results your services can read
Segments, cohorts, or scores computed in Splunk sync back into Scaleway Postgres, where the services that read from the database act on them at query speed without calling the analytics API.
What you can sync between Scaleway Postgres 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.
| Scaleway Postgres objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | 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. | Tables is specific to Scaleway Postgres and KV Store Collections to Splunk — each maps to any object or custom field on the other side. | |
| Views Read-only sources for shaping data before it leaves the database. | 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. | Views is specific to Scaleway Postgres and Indexes to Splunk — each maps to any object or custom field on the other side. | |
| Materialized views Precomputed result sets that can be read on a schedule for downstream 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. | Materialized views is specific to Scaleway Postgres and HTTP Event Collector to Splunk — each maps to any object or custom field on the other side. | |
| Schemas Namespace tables so multiple applications or environments can be synced selectively. | 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 is specific to Scaleway Postgres and Users and Roles to Splunk — each maps to any object or custom field on the other side. | |
| Sequences Generate primary keys; sync tooling must respect them when writing rows. | 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. | Sequences is specific to Scaleway Postgres and Dashboards to Splunk — each maps to any object or custom field on the other side. | |
| Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | 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. | Columns is specific to Scaleway Postgres and Search Results to Splunk — each maps to any object or custom field on the other side. |
How changes propagate between Scaleway Postgres 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.
Scaleway Postgres Splunk Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Splunk Scaleway Postgres 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
- 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 Scaleway Postgres ⇄ Splunk
Connect Scaleway Postgres and Splunk for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Scaleway Postgres–Splunk connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Scaleway Postgres 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 Scaleway Postgres or Splunk record.
Observability
Monitoring
Track your Scaleway Postgres ⇄ Splunk sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Scaleway Postgres and Splunk.
How the Scaleway Postgres and Splunk connectors work
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
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 Scaleway Postgres 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 Scaleway Postgres 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.
Scaleway Postgres
connected
Splunk
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Scaleway Postgres 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 · Scaleway Postgres ⇄ 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.
Scaleway Postgres SplunkCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Scaleway Postgres and Splunk integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Scaleway Postgres and Splunk: authenticate both systems, choose the objects to sync (such as Scaleway Postgres's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Splunk side: Indexes, HTTP Event Collector, Users and Roles, Dashboards, plus custom fields where Splunk exposes them. On the Scaleway Postgres side: Views, Materialized views, Schemas, Sequences. 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.
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Common patterns for Scaleway Postgres and Splunk: Filter and grouping dimensions kept fresh; Where Splunk tracks product events: behavior onto stored records; Where Splunk builds cohorts or scores: results your services can read. Attributes teams slice by, such as plan, region, or account owner, stay current in Splunk because they sync from Scaleway Postgres as they change, instead of going stale after a one-time import.
-
Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). 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.
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Splunk: Searches are asynchronous: POST /services/search/jobs returns a search ID (SID), and results are fetched from /services/search/jobs/{sid}/results once the job completes; oneshot and export modes return results synchronously. Scaleway Postgres: It runs the standard PostgreSQL engine, so ordinary Postgres drivers, ORMs, and SQL tooling work unmodified; managed-service restrictions apply to some server-level features. Stacksync's field mapping accounts for these differences between Scaleway Postgres and Splunk 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
Every pair below is a real-time, two-way sync. Search all 415 integrations available for Scaleway Postgres and Splunk.
Popular · 8 of 415
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Scaleway Postgres ⇄ Microsoft Power Bi -
Scaleway Postgres ⇄ Tableau -
Scaleway Postgres ⇄ Adobeanalytics -
Scaleway Postgres ⇄ Pendo -
Splunk ⇄ Azure Cosmos DB -
Splunk ⇄ Azure SQL Database -
Splunk ⇄ Citus -
Splunk ⇄ Couchbase
No integrations match .
