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Database ⇄ Human resources

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

Keep IBM Informix 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 Informix and Lever

Put your workforce data where your apps can reach it: IBM Informix and Lever share the same people, positions, and org structure in real time.

Lever is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. IBM Informix is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Users, Stages, Feedback, Interviews in Lever need to exist as queryable Stored procedures, Logical logs, Databases, Tables in IBM Informix before an app can act on them. When that bridge is a nightly export or a hand-run CSV, every downstream system spends the day working from a roster that has already moved on.

Stacksync syncs Stored procedures, Logical logs, Databases, Tables in IBM Informix with Users, Stages, Feedback, Interviews in Lever field by field, in real time. You decide which system owns which fields — Lever typically owns identity and org attributes, while operational or computed values can flow back the other way — and Stacksync keeps every copy consistent, matching records on a stable key and resolving conflicts by rules you set.

The result is one live picture of the workforce on both sides: HR keeps its source of truth, and the database keeps a current mirror that internal apps, reports, and access controls can trust without a batch window in between.

Common use cases

  • 01 Sync sensor and meter readings stored in Informix TimeSeries structures to analytics platforms.
  • 02 Run a two-way sync between an Informix-backed retail or POS application and a CRM so store data reaches go-to-market teams.
  • 03 Consolidate Feedback, Interviews, and Notes into a warehouse for interviewer scorecard and time-to-fill reporting.
  • 04 Write enriched Sources, Tags, and Contact data back onto Opportunities from an outbound sourcing pipeline.

Common sync patterns

Reporting and analytics on current data

Users, Stages, Feedback, Interviews replicate into IBM Informix where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Lever stay consistent in IBM Informix, so hierarchy-driven logic and permissions don't drift.

Computed and operational fields flow back

Values assembled or corrected in IBM Informix write onto the matching record in Lever where those fields are writable, keeping the people system enriched.

What you can sync between IBM Informix 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 Informix objects Lever objects How this pairing syncs
Tables Relational tables mapped directly to sync targets. Stages Pipeline stage definitions that Opportunities move through; read to model funnel state and stage transitions in a database. Tables is specific to IBM Informix and Stages to Lever — each maps to any object or custom field on the other side.
Rows The unit of read and write, keyed by primary key. Feedback Interview feedback and scorecard forms attached to Opportunities; created via POST /opportunities/:id/feedback and consolidated into a warehouse for interviewer analytics. Rows is specific to IBM Informix and Feedback to Lever — each maps to any object or custom field on the other side.
Views Read-only projections used to shape outbound data. Interviews Scheduled interview panel events with times and interviewers; read for scheduling reporting and time-to-hire metrics, and creatable via the panels endpoint. Views is specific to IBM Informix and Interviews to Lever — each maps to any object or custom field on the other side.
TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. Notes and Contacts Free-text Notes on Opportunities plus the underlying Contact (person) that dedupes multiple Opportunities; notes are posted via POST /opportunities/:id/notes and contact-level tags, sources, and links can be added back for attribution. TimeSeries objects is specific to IBM Informix and Notes and Contacts to Lever — each maps to any object or custom field on the other side.
Stored procedures Server-side logic sometimes invoked as part of write paths. Opportunities The core pipeline record for a candidate applying to a role; replaced the deprecated Candidates endpoint. Created via POST /opportunities and updated (stage, archive, links, tags, sources, files) through the API, and synced two-way with a database or HRIS. Stored procedures is specific to IBM Informix and Opportunities to Lever — each maps to any object or custom field on the other side.
Logical logs The transaction log that Informix's CDC interface reads committed changes from. 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. Logical logs is specific to IBM Informix and Postings to Lever — each maps to any object or custom field on the other side.

How changes propagate between IBM Informix 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 Informix Lever Sub-second propagation

DetectionChanges in IBM Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.

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

Lever IBM Informix 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 Informix as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • IBM Informix: Bounded by server resources and session limits rather than an API quota.
  • 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 Informix ⇄ Lever

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever IBM Informix 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 Informix or Lever record.

Observability

Monitoring

Track your IBM Informix ⇄ 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 Informix and Lever.

How the IBM Informix and Lever connectors work

IBM Informix

Integration surface
SQL over JDBC/ODBC drivers; DRDA connectivity is also supported
Authentication
Database credentials
Change detection
Informix's Change Data Capture API reading committed changes from logical logs; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Bounded by server resources and session limits rather than an API quota.

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 Informix 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 Informix 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 Informix connected
    Lever connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

IBM Informix 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:

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 456 integrations available for IBM Informix and Lever.

Popular · 7 of 456
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