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Data warehouse ⇄ Human resources

Apache Impala to Hibob integration — real-time, two-way sync

Keep Apache Impala and Hibob in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Apache Impala and Hibob

Land the people and organization records from Hibob in Apache Impala as live tables for workforce reporting, without extract jobs, and write computed results back where Hibob can use them.

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 Hibob is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Apache Impala next to everything else the company measures.

Stacksync syncs Salaries, Time off, Lifecycle, Documents from Hibob into tables in Apache Impala continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Apache Impala, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Hibob where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.

Common use cases

  • 01 Serve fast extracts of Hadoop-resident tables to operational databases and SaaS tools through Impala instead of slow batch engines.
  • 02 Sync mutable reference data into Kudu tables via Impala so row-level updates are possible on the Hadoop side.
  • 03 Two-way sync People (employee) profiles and Work records with a Postgres database so internal apps and directories read profiles in SQL while HR corrections flow back into Bob.
  • 04 Auto-provision or deprovision accounts in an IdP, ticketing tool, or app database when Bob Lifecycle events fire employee joined or terminated.

Common sync patterns

Fresh data instead of last night's load

Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.

Queryable history for planning and audit

A continuously synced copy in Apache Impala gives you a durable, queryable record of how Hibob's records change over time, for headcount planning and audit questions.

Write-back of computed values

Segments, rollups, or risk flags computed in Apache Impala sync back onto the matching records in Hibob, where the HR team sees them in the system they already use.

What you can sync between Apache Impala and Hibob

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 Impala objects Hibob objects How this pairing syncs
Partitions Partition values used to limit scans and drive incremental reads. Work Reporting line, department, site, and title under /people/{id}/work; drives the org chart and is synced two-way to directories. Partitions is specific to Apache Impala and Work to Hibob — each maps to any object or custom field on the other side.
Views Logical views readable as modeled sources. Salaries Compensation history at /people/{id}/salaries; full CRUD but gated behind the Payroll permission on the service user. Views is specific to Apache Impala and Salaries to Hibob — each maps to any object or custom field on the other side.
Kudu Tables Kudu-backed tables that support row-level insert, update, upsert, and delete. Time off Absence requests and who's-out data via /timeoff/employees/{id}/requests and /timeoff/whosout; submit new requests and read balances. Kudu Tables is specific to Apache Impala and Time off to Hibob — each maps to any object or custom field on the other side.
External Tables Tables over files loaded by other tools, queryable without data movement. Lifecycle Hire, termination, and leave status changes at /people/{id}/lifecycle; read-only and the source of lifecycle webhook events. External Tables is specific to Apache Impala and Lifecycle to Hibob — each maps to any object or custom field on the other side.
Users and Roles Principals (often via Ranger/Sentry) used to grant scoped read access. Documents Employee documents accessed under the Docs API; gated behind the Documents permission granted per service user. Users and Roles is specific to Apache Impala and Documents to Hibob — each maps to any object or custom field on the other side.
Databases Namespaces shared with the Hive Metastore that scope tables. Named lists Dropdown option lists such as departments and sites used to resolve field values when mapping People records during sync. Databases is specific to Apache Impala and Named lists to Hibob — each maps to any object or custom field on the other side.

How changes propagate between Apache Impala and Hibob

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.

Apache Impala Hibob Interval-based propagation

DetectionStacksync polls Apache Impala for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns.

DeliveryEach detected change is written to Hibob through its API, with automatic retries and rate-limit backoff.

Hibob Apache Impala Sub-second propagation

DetectionHibob notifies Stacksync of record changes through webhook events. Webhooks fire for employee created/updated/deleted, table-entry created/updated, time off, and lifecycle events.

DeliveryEach detected change is applied to Apache Impala as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Impala: No API quotas; concurrency is bounded by cluster resources and admission control settings.
  • Hibob: Rate limits are enforced per service user; violations return HTTP 429 with X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset response headers. The docs list POST /people/search at 50 requests per minute, and bulk /people/search is preferred over per-record reads.
What ships with Apache Impala ⇄ Hibob

Connect Apache Impala and Hibob for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Impala–Hibob connection.

Real-time

Two-way sync

Changes in Apache Impala or Hibob instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Impala or Hibob 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 Apache Impala or Hibob record.

Observability

Monitoring

Track your Apache Impala ⇄ Hibob sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Impala and Hibob.

How the Apache Impala and Hibob connectors work

Apache Impala

Integration surface
SQL over JDBC/ODBC (HiveServer2-compatible protocol)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition or timestamp columns; no change log exposed for external consumers
Capabilities
read · write
Rate limits
No API quotas; concurrency is bounded by cluster resources and admission control settings

Hibob

Integration surface
REST API (the Bob API)
Authentication
Service User credentials over HTTP Basic auth (Base64-encoded serviceUserId:serviceUserToken); permissions granted per data category (People, Payroll, Documents) in Bob admin
Change detection
Webhooks fire for employee created/updated/deleted, table-entry created/updated, time off, and lifecycle events; the employee.updated payload flags which fields changed and Bob recommends an API call for the full record. There is no CDC stream, and deleting a table entry fires no webhook (Bob has no table-entry deletion event).
Capabilities
read · write · webhooks
Rate limits
Rate limits are enforced per service user; violations return HTTP 429 with X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset response headers. The docs list POST /people/search at 50 requests per minute, and bulk /people/search is preferred over per-record reads.
Hibob setup guide
How it works

How to connect Apache Impala to Hibob — 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.

  1. 01

    Connect your apps

    Authenticate Apache Impala and Hibob with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Impala connected
    Hibob connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Impala and Hibob 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Impala ⇄ Hibob
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apache Impala Hibob
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Impala and Hibob integration FAQ

SECURITY

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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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 435 integrations available for Apache Impala and Hibob.

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