Two-way sync
Changes in Cloudera Data Platform or Jobvite instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform 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 Cloudera Data Platform next to everything else the company measures.
Stacksync syncs Requisition (Job), Application, Workflow Status, New Hire from Jobvite into tables in Cloudera Data Platform continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Cloudera Data Platform, 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.
Segments, rollups, or risk flags computed in Cloudera Data Platform sync back onto the matching records in Jobvite, where the HR team sees them in the system they already use.
People and organization records from Jobvite arrive in Cloudera Data Platform as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.
Analysts combine Jobvite's workforce records with finance, product, or operational data already in Cloudera Data Platform for reporting the HR system cannot produce on its own.
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.
| Cloudera Data Platform objects | Jobvite objects | How this pairing syncs | |
|---|---|---|---|
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Workflow Status The pipeline stage per application (Screen, Interview, Offer, Hired); updated through POST /candidate/updateCandidates to advance records. | Partitions is specific to Cloudera Data Platform and Workflow Status to Jobvite — each maps to any object or custom field on the other side. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | New Hire Hired-candidate records surfaced in the candidate feed and via the candidate hired webhook; commonly written into an HRIS or onboarding tool. | Object store / HDFS files is specific to Cloudera Data Platform and New Hire to Jobvite — each maps to any object or custom field on the other side. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Employee Employee roster pushed through POST /employee (Onboard sync), used for referral matching and internal-mobility job postings. | Databases is specific to Cloudera Data Platform and Employee to Jobvite — each maps to any object or custom field on the other side. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Attachment Resumes, cover letters, and files attached to a candidate; synced out to object storage or a document management system. | Hive tables is specific to Cloudera Data Platform and Attachment to Jobvite — each maps to any object or custom field on the other side. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Offer Offer state tied to an application (extended, accepted, declined); read out for offer-acceptance reporting and written to downstream comp or HR systems. | Impala tables is specific to Cloudera Data Platform and Offer to Jobvite — each maps to any object or custom field on the other side. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Candidate Read from the candidate feed (GET /candidate) and written back via POST /candidate/updateCandidates to change status, notes, and disposition on each record. | Kudu tables is specific to Cloudera Data Platform and Candidate 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 Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.
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 Cloudera Data Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Jobvite connection.
Changes in Cloudera Data Platform or Jobvite instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform 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 Cloudera Data Platform or Jobvite record.
Track your Cloudera Data Platform ⇄ Jobvite sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform and Jobvite: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Partitions and Object store / HDFS files), map fields visually, and changes propagate both ways in milliseconds — no code required.
Cloudera Data Platform: Tables can live in multiple storage engines with different update semantics: Kudu and Iceberg tables support row-level updates, while classic Hive tables are append-oriented. Jobvite: The API is rate-limited to roughly 15 requests per minute and 850 per hour (reset at midnight Pacific), with per-endpoint daily caps, so high-volume backfills must be throttled and batched. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and Jobvite without custom code.
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 Cloudera Data Platform and Jobvite records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Cloudera Data Platform and Jobvite connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cloudera Data Platform–Jobvite integration in-house.
Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and Jobvite. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. 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.
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 436 integrations available for Cloudera Data Platform and Jobvite.