Real-time
Two-way sync
Changes in Amazon RDS or Splunk instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Analytics
Amazon RDS to Splunk integration — real-time, two-way sync
Keep Amazon RDS 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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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Amazon RDS and Splunk
Give Splunk the users, events, and records that live in Amazon RDS in real time, and sync the cohorts and scores Splunk computes back into Amazon RDS 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 Amazon RDS 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 Schemas, Tables, Views, Columns in Amazon RDS 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 Amazon RDS, 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 Export Users and Roles into an IAM database for periodic access reviews, or provision them from an identity source of truth.
- 02 Sync fired-alert history and saved-search definitions into Postgres so security and reliability teams query alert trends and detection coverage in SQL.
- 03 Use a read replica as the sync source to keep change capture load off the primary instance
- 04 Bi-directional sync between an RDS database and a CRM so application data and sales data stay consistent without custom integration code
Common sync patterns
Where Splunk tracks product events: behavior onto stored records
Signup, usage, and lifecycle events captured in Splunk sync into Amazon RDS 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 Amazon RDS, where the services that read from the database act on them at query speed without calling the analytics API.
Analytics on live operational data, minus the pipeline
The users, events, orders, and records stored in Amazon RDS land in Splunk as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
What you can sync between Amazon RDS 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.
| Amazon RDS objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Columns Field-level mapping targets, typed per the underlying engine. | 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. | Columns is specific to Amazon RDS and Users and Roles to Splunk — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | 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. | Primary and Unique Keys is specific to Amazon RDS and Dashboards to Splunk — each maps to any object or custom field on the other side. | |
| Read Replicas Low-impact read endpoints often used as the source side of a sync. | 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. | Read Replicas is specific to Amazon RDS and Search Results to Splunk — each maps to any object or custom field on the other side. | |
| Stored Procedures Engine-specific logic that can react to synced rows. | 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. | Stored Procedures is specific to Amazon RDS and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | 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. | Databases is specific to Amazon RDS and Fired Alerts to Splunk — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to isolate synced tables. | 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. | Schemas is specific to Amazon RDS and KV Store Collections to Splunk — each maps to any object or custom field on the other side. |
How changes propagate between Amazon RDS 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.
Amazon RDS Splunk Sub-second propagation
DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Splunk Amazon RDS 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 Amazon RDS as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Amazon RDS: No API rate limits; throughput depends on instance class, storage IOPS, and connection limits.
- 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 Amazon RDS ⇄ Splunk
Connect Amazon RDS and Splunk for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Splunk connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon RDS 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 Amazon RDS or Splunk record.
Observability
Monitoring
Track your Amazon RDS ⇄ Splunk sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Amazon RDS and Splunk.
How the Amazon RDS and Splunk connectors work
Amazon RDS
- Integration surface
- SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)
- Authentication
- Database credentials over SSL/TLS, or IAM database authentication on supported engines
- Change detection
- Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput depends on instance class, storage IOPS, and connection limits
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 Amazon RDS 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 Amazon RDS 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.
Amazon RDS
connected
Splunk
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon RDS 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 · Amazon RDS ⇄ 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.
Amazon RDS SplunkCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon RDS and Splunk integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Amazon RDS and Splunk: authenticate both systems, choose the objects to sync (such as Amazon RDS's Columns and Primary and Unique Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Change detection on Amazon RDS: Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback. 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.
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On the Splunk side: KV Store Collections, Indexes, HTTP Event Collector, Users and Roles, plus custom fields where Splunk exposes them. On the Amazon RDS side: Schemas, Tables, Views, Columns. 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 Amazon RDS and Splunk: Where Splunk tracks product events: behavior onto stored records; Where Splunk builds cohorts or scores: results your services can read; Analytics on live operational data, minus the pipeline. Signup, usage, and lifecycle events captured in Splunk sync into Amazon RDS as rows, so applications and internal tools can read behavioral data next to the records they already keep.
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Amazon RDS: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle). Authentication: Database credentials over SSL/TLS, or IAM database authentication on supported engines. 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 426 integrations available for Amazon RDS and Splunk.
Popular · 7 of 426
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Amazon RDS ⇄ Pendo -
Amazon RDS ⇄ Mixpanel -
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Splunk ⇄ SAP Hana -
Splunk ⇄ Jdbc -
Splunk ⇄ Render Postgres -
Splunk ⇄ PostgreSQL
No integrations match .
