Two-way sync
Changes in Apache Hive or Jobvite instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Hive 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 Hive next to everything else the company measures.
Stacksync syncs Candidate, Requisition (Job), Application, Workflow Status from Jobvite into tables in Apache Hive continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Apache Hive, 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 Apache Hive 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 Apache Hive 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 Apache Hive 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.
| Apache Hive objects | Jobvite objects | How this pairing syncs | |
|---|---|---|---|
| External Tables Tables over existing files in HDFS or object storage, read without moving data. | Requisition (Job) Job openings created or updated through POST /job and read from GET /jobFeed; maps to opening tables in an ATS reporting warehouse. | External Tables is specific to Apache Hive and Requisition (Job) to Jobvite — each maps to any object or custom field on the other side. | |
| Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. | Application Links a candidate to one requisition with its workflow state; read for pipeline reporting and status written back through the candidate update call. | Partitions is specific to Apache Hive and Application to Jobvite — each maps to any object or custom field on the other side. | |
| Views Logical views readable as modeled sources. | Workflow Status The pipeline stage per application (Screen, Interview, Offer, Hired); updated through POST /candidate/updateCandidates to advance records. | Views is specific to Apache Hive and Workflow Status to Jobvite — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results available in newer Hive versions for faster reads. | New Hire Hired-candidate records surfaced in the candidate feed and via the candidate hired webhook; commonly written into an HRIS or onboarding tool. | Materialized Views is specific to Apache Hive and New Hire to Jobvite — each maps to any object or custom field on the other side. | |
| ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. | Employee Employee roster pushed through POST /employee (Onboard sync), used for referral matching and internal-mobility job postings. | ACID Tables is specific to Apache Hive and Employee to Jobvite — each maps to any object or custom field on the other side. | |
| Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. | Attachment Resumes, cover letters, and files attached to a candidate; synced out to object storage or a document management system. | Metastore Catalog is specific to Apache Hive 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 Hive for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition values or timestamp 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 Apache Hive 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 Hive–Jobvite connection.
Changes in Apache Hive or Jobvite instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Hive 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 Hive or Jobvite record.
Track your Apache Hive ⇄ Jobvite sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Hive 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 Hive 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 Hive 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 Hive and Jobvite: authenticate both systems, choose the objects to sync (such as Apache Hive's External Tables and Partitions), map fields visually, and changes propagate both ways in milliseconds — no code required.
Apache Hive: SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift). Authentication: Deployment-dependent: Kerberos, LDAP, or username/password. 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.
Apache Hive: Hive is schema-on-read: tables are metadata over files in HDFS or object storage, so external tables can expose existing data without copying it. Jobvite: The /jobFeed endpoint supports only pagination (start, count) and category/location filters, with no modified-date parameter, so incremental job pulls rely on full-feed diffing. Stacksync's field mapping accounts for these differences between Apache Hive 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 Apache Hive and Jobvite records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Hive and Jobvite connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Hive–Jobvite integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Hive and Jobvite. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 440 integrations available for Apache Hive and Jobvite.