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Database ⇄ Human resources

InfluxDB to Lever integration — real-time, two-way sync

Keep InfluxDB 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 InfluxDB and Lever

Put your workforce data where your apps can reach it: InfluxDB 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. InfluxDB is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Stages, Feedback, Interviews, Notes and Contacts in Lever need to exist as queryable Fields, Retention policies, Organizations, Buckets / databases in InfluxDB 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 Fields, Retention policies, Organizations, Buckets / databases in InfluxDB with Stages, Feedback, Interviews, Notes and Contacts 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 Push metered usage aggregates into billing systems to drive usage-based pricing.
  • 02 Write events from operational databases or applications into InfluxDB as time-stamped points for monitoring.
  • 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

Mirror people records into the database

Records maintained in Lever land as queryable Fields, Retention policies, Organizations, Buckets / databases in InfluxDB, so internal apps and dashboards read live data instead of a periodic export.

One directory of record

When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.

Reporting and analytics on current data

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

What you can sync between InfluxDB 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.

InfluxDB objects Lever objects How this pairing syncs
Retention policies Automatic expiry rules that determine how long synced history remains queryable. Stages Pipeline stage definitions that Opportunities move through; read to model funnel state and stage transitions in a database. Retention policies is specific to InfluxDB and Stages to Lever — each maps to any object or custom field on the other side.
Organizations Tenancy scope for tokens and buckets in multi-tenant deployments. Feedback Interview feedback and scorecard forms attached to Opportunities; created via POST /opportunities/:id/feedback and consolidated into a warehouse for interviewer analytics. Organizations is specific to InfluxDB and Feedback to Lever — each maps to any object or custom field on the other side.
Buckets / databases Named containers with retention settings that scope reads and writes. Interviews Scheduled interview panel events with times and interviewers; read for scheduling reporting and time-to-hire metrics, and creatable via the panels endpoint. Buckets / databases is specific to InfluxDB and Interviews to Lever — each maps to any object or custom field on the other side.
Measurements The table-like grouping for points, typically mapped to a synced dataset. 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. Measurements is specific to InfluxDB and Notes and Contacts to Lever — each maps to any object or custom field on the other side.
Points Individual time-stamped records, the unit of write via line protocol. 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. Points is specific to InfluxDB and Opportunities to Lever — each maps to any object or custom field on the other side.
Tags Indexed key-value metadata used for filtering and as sync partition keys. 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. Tags is specific to InfluxDB and Postings to Lever — each maps to any object or custom field on the other side.

How changes propagate between InfluxDB 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.

InfluxDB Lever Interval-based propagation

DetectionStacksync polls InfluxDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling with time-range queries.

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

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

Rate-limit considerations

  • InfluxDB: Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.
  • 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 InfluxDB ⇄ Lever

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever InfluxDB 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 InfluxDB or Lever record.

Observability

Monitoring

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

Trading partners

EDI

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

How the InfluxDB and Lever connectors work

InfluxDB

Integration surface
REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version
Authentication
API token
Change detection
Polling with time-range queries; data is timestamped, so incremental reads use time cursors
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.

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

    Choose tables

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

InfluxDB 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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

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 453 integrations available for InfluxDB and Lever.

Popular · 8 of 453
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