Real-time
Two-way sync
Changes in Splunk or Vertica instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ Data warehouse
Splunk to Vertica integration — real-time, two-way sync
Keep Splunk and Vertica 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 Splunk and Vertica
Put the same events, users, and metrics on both sides: Splunk and Vertica stay current in real time, in both directions.
Splunk is where teams explore, visualize, and report; Vertica 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 HTTP Event Collector, Users and Roles, Dashboards, Search Results in Splunk with Flex Tables, External Tables, Schemas, Tables in Vertica 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 Vertica, 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 data from multiple operational databases into Vertica schemas for enterprise BI.
- 04 Sync CRM accounts and opportunities into Vertica to join with large-scale behavioral or telemetry data.
Common sync patterns
Where Vertica holds the source tables: live data in the reporting layer
Records maintained in Vertica flow into Splunk as they change, so dashboards and reports read current rows rather than an overnight extract.
Where Splunk produces segments or scores: results back to the warehouse
Cohorts, segments, and computed metrics defined in Splunk write to Vertica as tables the rest of the stack can query and join.
Shared user and account keys
Users and accounts tracked in Splunk line up with the customer or user rows in Vertica on a stable key, so both sides count the same population.
What you can sync between Splunk and Vertica
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 | Vertica objects | How this pairing syncs | |
|---|---|---|---|
| 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. | External Tables Data queried in place on files or object storage without loading. | Saved Searches is specific to Splunk and External Tables to Vertica — 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. | Schemas Namespaces used to organize synced datasets by domain or source. | Fired Alerts is specific to Splunk and Schemas to Vertica — 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. | Tables Columnar tables; the primary read and write targets for syncs. | KV Store Collections is specific to Splunk and Tables to Vertica — 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. | Projections Sorted, encoded physical copies of table data that the optimizer selects at query time; they affect load and query behavior rather than being addressed directly. | Indexes is specific to Splunk and Projections to Vertica — 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 Logical views used to shape reads for downstream consumers. | HTTP Event Collector is specific to Splunk and Views to Vertica — each maps to any object or custom field on the other side. | |
| 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. | Flex Tables Schema-flexible tables for semi-structured JSON data landed before modeling. | Users and Roles is specific to Splunk and Flex Tables to Vertica — each maps to any object or custom field on the other side. |
How changes propagate between Splunk and Vertica
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.
Splunk Vertica 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 Vertica as a row-level write, with types converted between the two schemas.
Vertica Splunk Interval-based propagation
DetectionStacksync polls Vertica for changes on an incremental schedule, reading only records changed since the previous pass. No exposed transaction-log CDC.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- 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.
- Vertica: No API rate limits; throughput is bounded by cluster resources, and bulk COPY is preferred over row-by-row writes.
What ships with Splunk ⇄ Vertica
Connect Splunk and Vertica for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Splunk–Vertica connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Splunk or Vertica 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 Splunk or Vertica record.
Observability
Monitoring
Track your Splunk ⇄ Vertica sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Splunk and Vertica.
How the Splunk and Vertica connectors work
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.
Vertica
- Integration surface
- SQL over JDBC, ODBC, and ADO.NET drivers
- Authentication
- Database credentials, with LDAP, Kerberos, and OAuth options in enterprise deployments
- Change detection
- No exposed transaction-log CDC; polling on timestamp or epoch columns
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by cluster resources, and bulk COPY is preferred over row-by-row writes.
How it works
How to connect Splunk to Vertica — 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 Splunk and Vertica with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Splunk
connected
Vertica
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Splunk and Vertica 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 · Splunk ⇄ VerticaCustomers 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.
Splunk VerticaCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Splunk and Vertica integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Splunk and Vertica: authenticate both systems, choose the objects to sync (such as Splunk's Saved Searches and Fired Alerts), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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). Vertica: SQL over JDBC, ODBC, and ADO.NET drivers. Authentication: Database credentials, with LDAP, Kerberos, and OAuth options in enterprise deployments. Stacksync manages authentication, retries, and rate limits on both sides.
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Splunk: The KV Store is a MongoDB-backed, app-scoped collection store with full CRUD and batch endpoints (/servicesNS/{owner}/{app}/storage/collections/data/{collection}), so lookup records can be read and written in both directions. Vertica: Flex tables let semi-structured JSON be loaded and queried before a schema is fixed. Stacksync's field mapping accounts for these differences between Splunk and Vertica 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 Splunk and Vertica 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 Splunk and Vertica connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Splunk–Vertica integration in-house.
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Yes — Stacksync ships production-grade connectors for both Splunk and Vertica. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 410 integrations available for Splunk and Vertica.
Popular · 7 of 410
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Splunk ⇄ BigQuery -
Splunk ⇄ MotherDuck -
Splunk ⇄ Databricks -
Splunk ⇄ AWS S3 -
Vertica ⇄ Tableau -
Vertica ⇄ Adobeanalytics -
Vertica ⇄ Pendo
No integrations match .
