Real-time
Two-way sync
Changes in Postgres Heroku or Splunk instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Analytics
Postgres Heroku to Splunk integration — real-time, two-way sync
Keep Postgres Heroku 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 Postgres Heroku and Splunk
Give Splunk the users, events, and records that live in Postgres Heroku in real time, and sync the cohorts and scores Splunk computes back into Postgres Heroku 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 Postgres Heroku 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, Materialized Views, Schemas in Postgres Heroku with Saved Searches, Fired Alerts, KV Store Collections, Indexes 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 Postgres Heroku, 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 Ingest application, CRM, or database records into Splunk via the HTTP Event Collector so operational data lands alongside logs for correlation and dashboards.
- 02 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.
- 03 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 04 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
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 Postgres Heroku 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 Postgres Heroku 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 Postgres Heroku, where the services that read from the database act on them at query speed without calling the analytics API.
What you can sync between Postgres Heroku 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.
| Postgres Heroku objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | 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. | Primary and Unique Keys is specific to Postgres Heroku and Fired Alerts to Splunk — each maps to any object or custom field on the other side. | |
| JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | 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. | JSONB Columns is specific to Postgres Heroku and KV Store Collections to Splunk — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound 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. | Sequences is specific to Postgres Heroku and Indexes to Splunk — each maps to any object or custom field on the other side. | |
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | 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. | Follower Databases is specific to Postgres Heroku and HTTP Event Collector to Splunk — each maps to any object or custom field on the other side. | |
| Tables Standard Postgres tables; the primary two-way sync target for app data. | 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. | Tables is specific to Postgres Heroku and Users and Roles to Splunk — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | 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. | Views is specific to Postgres Heroku and Dashboards to Splunk — each maps to any object or custom field on the other side. |
How changes propagate between Postgres Heroku 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.
Postgres Heroku Splunk Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Splunk Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
- 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 Postgres Heroku ⇄ Splunk
Connect Postgres Heroku and Splunk for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Splunk connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or Splunk record.
Observability
Monitoring
Track your Postgres Heroku ⇄ Splunk sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Splunk.
How the Postgres Heroku and Splunk connectors work
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
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 Postgres Heroku 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 Postgres Heroku 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.
Postgres Heroku
connected
Splunk
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku 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 · Postgres Heroku ⇄ 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.
Postgres Heroku SplunkCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and Splunk integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Splunk: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Primary and Unique Keys and JSONB Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Splunk: The REST API is governed by search-concurrency quotas (per-user/role and per-CPU historical search limits in limits.conf) rather than a fixed request rate; HEC and Splunk Cloud add throughput and ingestion limits. Postgres Heroku: All connections require SSL, and server-level settings such as replication configuration are controlled by Heroku rather than the user. Stacksync's field mapping accounts for these differences between Postgres Heroku and Splunk without custom code.
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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 Postgres Heroku and Splunk records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Postgres Heroku and Splunk connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–Splunk integration in-house.
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Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Splunk. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. 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.
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 420 integrations available for Postgres Heroku and Splunk.
Popular · 8 of 420
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Postgres Heroku ⇄ Mixpanel -
Postgres Heroku ⇄ Microsoft Power Bi -
Postgres Heroku ⇄ Tableau -
Postgres Heroku ⇄ Adobeanalytics -
Splunk ⇄ DuckDB -
Splunk ⇄ Elasticsearch -
Splunk ⇄ Google Cloud Spanner - Splunk ⇄ Google Cloud SQL
No integrations match .
