Two-way sync
Changes in Apache Druid or Jobvite instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid and Jobvite in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether Jobvite is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Apache Druid next to everything else the company measures.
Stacksync syncs Requisition (Job), Application, Workflow Status, New Hire from Jobvite into tables in Apache Druid continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Apache Druid, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Jobvite where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.
Analysts combine Jobvite's workforce records with finance, product, or operational data already in Apache Druid for reporting the HR system cannot produce on its own.
Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
A continuously synced copy in Apache Druid gives you a durable, queryable record of how Jobvite's records change over time, for headcount planning and audit questions.
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 Druid objects | Jobvite objects | How this pairing syncs | |
|---|---|---|---|
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Requisition (Job) Job openings created or updated through POST /job and read from GET /jobFeed; maps to opening tables in an ATS reporting warehouse. | Lookups is specific to Apache Druid and Requisition (Job) to Jobvite — each maps to any object or custom field on the other side. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Application Links a candidate to one requisition with its workflow state; read for pipeline reporting and status written back through the candidate update call. | Tasks is specific to Apache Druid and Application to Jobvite — each maps to any object or custom field on the other side. | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | Workflow Status The pipeline stage per application (Screen, Interview, Offer, Hired); updated through POST /candidate/updateCandidates to advance records. | Datasources is specific to Apache Druid and Workflow Status to Jobvite — each maps to any object or custom field on the other side. | |
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | New Hire Hired-candidate records surfaced in the candidate feed and via the candidate hired webhook; commonly written into an HRIS or onboarding tool. | Segments is specific to Apache Druid and New Hire to Jobvite — each maps to any object or custom field on the other side. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Employee Employee roster pushed through POST /employee (Onboard sync), used for referral matching and internal-mobility job postings. | Dimensions is specific to Apache Druid and Employee to Jobvite — each maps to any object or custom field on the other side. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Attachment Resumes, cover letters, and files attached to a candidate; synced out to object storage or a document management system. | Metrics is specific to Apache Druid and Attachment to Jobvite — 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.
DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.
DeliveryEach detected change is written to Jobvite through its API, with automatic retries and rate-limit backoff.
DetectionJobvite notifies Stacksync of record changes through webhook events. A candidate hired webhook, configured per customer by a Jobvite rep, POSTs to a custom URL on hire/offer-accepted events.
DeliveryEach detected change is applied to Apache Druid as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Jobvite connection.
Changes in Apache Druid or Jobvite instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid or Jobvite data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Druid or Jobvite record.
Track your Apache Druid ⇄ Jobvite sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid and Jobvite.
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 Apache Druid and Jobvite 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 Apache Druid and Jobvite 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 Apache Druid and Jobvite: authenticate both systems, choose the objects to sync (such as Apache Druid's Lookups and Tasks), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Apache Druid: Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates. On Jobvite: A candidate hired webhook, configured per customer by a Jobvite rep, POSTs to a custom URL on hire/offer-accepted events; otherwise Stacksync polls the candidate and job feeds on a schedule and diffs results, since records carry no per-item modified-date filter. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Apache Druid side: Ingestion Supervisors, Lookups, Tasks, Datasources, plus custom fields where Apache Druid exposes them. On the Jobvite side: Requisition (Job), Application, Workflow Status, New Hire. 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 Apache Druid and Jobvite: Headcount and cost joined with everything else; Fresh data instead of last night's load; Queryable history for planning and audit. Analysts combine Jobvite's workforce records with finance, product, or operational data already in Apache Druid for reporting the HR system cannot produce on its own.
Apache Druid: REST API (SQL over HTTP and native JSON queries); JDBC via Avatica. Authentication: Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy. Jobvite: REST API (JSON) with candidate, requisition (job), and employee feed endpoints under https://api.jobvite.com/{version}. Authentication: API key (api) and secret (sc) plus company ID (companyId), sent in request headers since Jobvite's April 1, 2024 move from URL-query to header-based auth. Credentials are provisioned per customer by Jobvite Support. 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.
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Every pair below is a real-time, two-way sync. Search all 440 integrations available for Apache Druid and Jobvite.