Real-time
Two-way sync
Changes in Apache Doris or Splunk instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Analytics
Apache Doris to Splunk integration — real-time, two-way sync
Keep Apache Doris 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 Apache Doris and Splunk
Put the same events, users, and metrics on both sides: Splunk and Apache Doris stay current in real time, in both directions.
Splunk is where teams explore, visualize, and report; Apache Doris 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 Dashboards, Search Results, Saved Searches, Fired Alerts in Splunk with Users and Roles, Databases, Tables, Unique Key Tables in Apache Doris 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 Apache Doris, every copy stays consistent.
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 Consolidate event and transactional data from multiple sources into one real-time OLAP layer.
- 04 Land CRM and operational database records in Doris for low-latency dashboards over fresh data.
Common sync patterns
Corrections propagate instead of reloading
When a record is fixed or backfilled on one side, the change reaches the other without a full reload, keeping history consistent across both.
One number both sides agree on
Metrics and aggregates stay aligned between the two systems, so a figure shown in Splunk matches the Apache Doris table it was built from instead of drifting between refreshes.
Where Apache Doris holds the source tables: live data in the reporting layer
Records maintained in Apache Doris flow into Splunk as they change, so dashboards and reports read current rows rather than an overnight extract.
What you can sync between Apache Doris 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.
| Apache Doris objects | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Users and Roles Principals used to grant the sync connection scoped access. | 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. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Partitions Range or list partitions that bound incremental loads. | 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. | Partitions is specific to Apache Doris and KV Store Collections to Splunk — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed views readable for downstream syncs and BI. | 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. | Materialized Views is specific to Apache Doris and Indexes to Splunk — each maps to any object or custom field on the other side. | |
| Databases Logical containers that scope connections and grants. | 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. | Databases is specific to Apache Doris and HTTP Event Collector to Splunk — each maps to any object or custom field on the other side. | |
| Tables Columnar tables in one of Doris's table models, used as sync destinations. | 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. | Tables is specific to Apache Doris and Dashboards to Splunk — each maps to any object or custom field on the other side. | |
| Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level 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. | Unique Key Tables is specific to Apache Doris and Search Results to Splunk — each maps to any object or custom field on the other side. |
How changes propagate between Apache Doris 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.
Apache Doris Splunk Interval-based propagation
DetectionStacksync polls Apache Doris for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns for reads.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Splunk Apache Doris 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 Apache Doris as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Apache Doris: No API quotas; load throughput depends on cluster resources and load-job configuration.
- 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 Apache Doris ⇄ Splunk
Connect Apache Doris and Splunk for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Doris–Splunk connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Doris 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 Apache Doris or Splunk record.
Observability
Monitoring
Track your Apache Doris ⇄ Splunk sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Apache Doris and Splunk.
How the Apache Doris and Splunk connectors work
Apache Doris
- Integration surface
- MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion
- Authentication
- Database credentials
- Change detection
- Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs
- Capabilities
- read · write
- Rate limits
- No API quotas; load throughput depends on cluster resources and load-job configuration
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 Apache Doris 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 Apache Doris 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.
Apache Doris
connected
Splunk
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Doris 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 · Apache Doris ⇄ 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.
Apache Doris SplunkCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Doris and Splunk integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Apache Doris and Splunk: authenticate both systems, choose the objects to sync (such as Apache Doris's Users and Roles and Partitions), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Apache Doris and Splunk: Corrections propagate instead of reloading; One number both sides agree on; Where Apache Doris holds the source tables: live data in the reporting layer. When a record is fixed or backfilled on one side, the change reaches the other without a full reload, keeping history consistent across both.
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Apache Doris: MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion. Authentication: Database credentials. 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: 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. Apache Doris: Bulk ingestion is HTTP-based through mechanisms like Stream Load, which is separate from the SQL query path. Stacksync's field mapping accounts for these differences between Apache Doris 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 Apache Doris 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 Apache Doris and Splunk connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Doris–Splunk integration in-house.
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 408 integrations available for Apache Doris and Splunk.
Popular · 7 of 408
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Apache Doris ⇄ Pendo -
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Splunk ⇄ Exasol -
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Splunk ⇄ Greenplum
No integrations match .
