Two-way sync
Changes in IBM Netezza or Lever instantly reflect in both systems. No stale data, no manual imports.
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.
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.
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.
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.
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.
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. |
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 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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Netezza–Lever connection.
Changes in IBM Netezza or Lever instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Netezza or Lever data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single IBM Netezza or Lever record.
Track your IBM Netezza ⇄ Lever sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Netezza and Lever.
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 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.
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.
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 IBM Netezza and Lever: authenticate both systems, choose the objects to sync (such as IBM Netezza's External tables and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
IBM Netezza: SQL over JDBC/ODBC (Netezza's SQL dialect derives from PostgreSQL). Authentication: Database credentials. Lever: 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). Stacksync manages authentication, retries, and rate limits on both sides.
IBM Netezza: Netezza's SQL dialect and catalog derive from PostgreSQL, so Postgres-familiar tooling and drivers adapt readily. Lever: POSTs that create candidates/applications are throttled to roughly 2 requests/second, stricter than the ~10 requests/second general limit (token-bucket burst to ~20/s), so bulk writes must be paced. Stacksync's field mapping accounts for these differences between IBM Netezza and Lever 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 IBM Netezza and Lever records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed IBM Netezza and Lever connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM Netezza–Lever integration in-house.
Yes — Stacksync ships production-grade connectors for both IBM Netezza and Lever. 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 439 integrations available for IBM Netezza and Lever.