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Data warehouse ⇄ Human resources

IBM Netezza to Lever integration — real-time, two-way sync

Keep IBM Netezza and Lever 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect IBM Netezza and Lever

Land the people and organization records from Lever in IBM Netezza as live tables for workforce reporting, without extract jobs, and write computed results back where Lever 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 Lever is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in IBM Netezza next to everything else the company measures.

Stacksync syncs Postings, Requisitions, Offers, Users from Lever into tables in IBM Netezza continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in IBM Netezza, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Lever 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 Load CRM, ERP, and production database data into Netezza for warehouse analytics.
  • 02 Publish segments and scores computed in Netezza back to operational tools where business teams act on them.
  • 03 When an Opportunity is marked hired, write the candidate and its Offer into an HRIS or onboarding system to start employee provisioning.
  • 04 Consolidate Feedback, Interviews, and Notes into a warehouse for interviewer scorecard and time-to-fill reporting.

Common sync patterns

Write-back of computed values

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

HR data in the warehouse, minus the pipeline

People and organization records from Lever arrive in IBM Netezza as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.

Headcount and cost joined with everything else

Analysts combine Lever's workforce records with finance, product, or operational data already in IBM Netezza for reporting the HR system cannot produce on its own.

What you can sync between IBM Netezza and Lever

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.

IBM Netezza objects Lever objects How this pairing syncs
External tables File-backed load/unload paths used for bulk movement alongside row-level syncs. Postings Job posting records with categories, apply URLs, workplace type, and requisition codes. Can be created via POST /postings and read into a warehouse for open-role reporting. External tables is specific to IBM Netezza and Postings to Lever — each maps to any object or custom field on the other side.
Databases Top-level containers that scope a sync connection. Requisitions Headcount/requisition records with custom requisition fields, tied to Postings; read via GET /requisitions and synced to an HRIS to reconcile approved headcount against open roles. Databases is specific to IBM Netezza and Requisitions to Lever — each maps to any object or custom field on the other side.
Schemas Namespace tables within a database. Offers Offer records attached to an Opportunity with status and offer-form fields; exposed read-only through GET /opportunities/:id/offers, so they sync outbound to an HRIS or onboarding system when a candidate reaches the offer stage. Schemas is specific to IBM Netezza and Offers to Lever — each maps to any object or custom field on the other side.
Tables Distributed tables mapped directly to sync targets. Users Lever team members (recruiters, hiring managers) with configurable roles; can be created via POST /users, deactivated, and reactivated through the API. Tables is specific to IBM Netezza and Users to Lever — each maps to any object or custom field on the other side.
Views Read-only projections used to shape outbound data. Stages Pipeline stage definitions that Opportunities move through; read to model funnel state and stage transitions in a database. Views is specific to IBM Netezza and Stages to Lever — each maps to any object or custom field on the other side.
Materialized views Precomputed results sometimes used as efficient read sources. Feedback Interview feedback and scorecard forms attached to Opportunities; created via POST /opportunities/:id/feedback and consolidated into a warehouse for interviewer analytics. Materialized views is specific to IBM Netezza and Feedback to Lever — each maps to any object or custom field on the other side.

How changes propagate between IBM Netezza and Lever

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.

IBM Netezza Lever Interval-based propagation

DetectionStacksync polls IBM Netezza for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key-based cursors.

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

Lever IBM Netezza Sub-second propagation

DetectionLever notifies Stacksync of record changes through webhook events. Webhooks for candidate and application lifecycle events (applicationCreated, candidateStageChange, candidateArchiveStateChange, candidateHired,.

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

Rate-limit considerations

  • IBM Netezza: Bounded by appliance or instance capacity and concurrency settings.
  • Lever: 10 requests/second per API key with a token-bucket burst to ~20/s; POSTs that create candidates/applications are throttled to roughly 2/second. Sustained overage returns 429 with Retry-After. List endpoints are cursor-paginated at up to 100 records per page.
What ships with IBM Netezza ⇄ Lever

Connect IBM Netezza and Lever for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Netezza–Lever connection.

Real-time

Two-way sync

Changes in IBM Netezza or Lever instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever IBM Netezza or Lever 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 IBM Netezza or Lever record.

Observability

Monitoring

Track your IBM Netezza ⇄ Lever sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between IBM Netezza and Lever.

How the IBM Netezza and Lever connectors work

IBM Netezza

Integration surface
SQL over JDBC/ODBC (Netezza's SQL dialect derives from PostgreSQL)
Authentication
Database credentials
Change detection
Polling with timestamp or key-based cursors; no log-based CDC is exposed
Capabilities
read · write
Rate limits
Bounded by appliance or instance capacity and concurrency settings.

Lever

Integration surface
REST Data API (api.lever.co/v1)
Authentication
API key over HTTP Basic auth (key as username, blank password) for internal integrations, or OAuth 2.0 with 1-hour access tokens for partner integrations (auth.lever.co)
Change detection
Webhooks for candidate and application lifecycle events (applicationCreated, candidateStageChange, candidateArchiveStateChange, candidateHired, interview created/updated/deleted), plus incremental polling via created_at and updated_at range filters on Opportunities
Capabilities
read · write · webhooks
Rate limits
10 requests/second per API key with a token-bucket burst to ~20/s; POSTs that create candidates/applications are throttled to roughly 2/second. Sustained overage returns 429 with Retry-After. List endpoints are cursor-paginated at up to 100 records per page.
Lever setup guide
How it works

How to connect IBM Netezza to Lever — 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 IBM Netezza and Lever 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
    IBM Netezza connected
    Lever connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the IBM Netezza and Lever 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 · IBM Netezza ⇄ Lever
    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
    IBM Netezza Lever
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

IBM Netezza and Lever integration FAQ

SECURITY

Security teams trust Stacksync

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 439 integrations available for IBM Netezza and Lever.

Popular · 7 of 439
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