Two-way sync
Changes in Splunk or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Keep Splunk and VoltDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 VoltDB 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 Replicated Tables, Stored Procedures, Materialized Views, Streams in VoltDB with Fired Alerts, KV Store Collections, Indexes, HTTP Event Collector 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 VoltDB, 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.
Attributes teams slice by, such as plan, region, or account owner, stay current in Splunk because they sync from VoltDB as they change, instead of going stale after a one-time import.
Signup, usage, and lifecycle events captured in Splunk sync into VoltDB as rows, so applications and internal tools can read behavioral data next to the records they already keep.
Segments, cohorts, or scores computed in Splunk sync back into VoltDB, where the services that read from the database act on them at query speed without calling the analytics API.
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 | VoltDB objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. | KV Store Collections is specific to Splunk and Materialized Views to VoltDB — 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. | Streams Insert-only constructs that feed the export subsystem with committed rows. | Indexes is specific to Splunk and Streams to VoltDB — 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. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | HTTP Event Collector is specific to Splunk and Export Targets and Topics to VoltDB — 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. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | Users and Roles is specific to Splunk and Partitioned Tables to VoltDB — each maps to any object or custom field on the other side. | |
| 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. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | Dashboards is specific to Splunk and Replicated Tables to VoltDB — each maps to any object or custom field on the other side. | |
| 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. | Stored Procedures Precompiled transactional units that serve as the primary write interface. | Search Results is specific to Splunk and Stored Procedures to VoltDB — each maps to any object or custom field on the other side. |
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.
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 VoltDB as a row-level write, with types converted between the two schemas.
DetectionStacksync polls VoltDB for changes on an incremental schedule, reading only records changed since the previous pass. Export streams and topics push committed changes to configured targets.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Splunk–VoltDB connection.
Changes in Splunk or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Splunk or VoltDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Splunk or VoltDB record.
Track your Splunk ⇄ VoltDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Splunk and VoltDB.
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.
Authenticate Splunk and VoltDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Splunk and VoltDB 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Splunk and VoltDB: authenticate both systems, choose the objects to sync (such as Splunk's KV Store Collections and Indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection 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. On VoltDB: Export streams and topics push committed changes to configured targets; otherwise polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Splunk side: Fired Alerts, KV Store Collections, Indexes, HTTP Event Collector, plus custom fields where Splunk exposes them. On the VoltDB side: Replicated Tables, Stored Procedures, Materialized Views, Streams. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Splunk and VoltDB: 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 VoltDB as they change, instead of going stale after a one-time import.
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). VoltDB: SQL over JDBC plus native client libraries and an HTTP/JSON interface. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 417 integrations available for Splunk and VoltDB.