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Human resources ⇄ Database

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

Keep Lever and VoltDB 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 Lever and VoltDB

Put your workforce data where your apps can reach it: VoltDB 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. VoltDB is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Postings, Requisitions, Offers, Users in Lever need to exist as queryable Export Targets and Topics, Partitioned Tables, Replicated Tables, Stored Procedures in VoltDB 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 Export Targets and Topics, Partitioned Tables, Replicated Tables, Stored Procedures in VoltDB with Postings, Requisitions, Offers, Users 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 Stream committed VoltDB results out through export targets into a warehouse for historical analysis.
  • 02 Keep product, plan, or entitlement state consistent between VoltDB and back-office systems.
  • 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

Computed and operational fields flow back

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

Mirror people records into the database

Records maintained in Lever land as queryable Export Targets and Topics, Partitioned Tables, Replicated Tables, Stored Procedures in VoltDB, 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.

What you can sync between Lever and VoltDB

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.

Lever objects VoltDB objects How this pairing syncs
Users Lever team members (recruiters, hiring managers) with configurable roles; can be created via POST /users, deactivated, and reactivated through the API. Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. Users is specific to Lever and Export Targets and Topics to VoltDB — each maps to any object or custom field on the other side.
Stages Pipeline stage definitions that Opportunities move through; read to model funnel state and stage transitions in a database. Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. Stages is specific to Lever and Partitioned Tables to VoltDB — each maps to any object or custom field on the other side.
Feedback Interview feedback and scorecard forms attached to Opportunities; created via POST /opportunities/:id/feedback and consolidated into a warehouse for interviewer analytics. Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. Feedback is specific to Lever and Replicated Tables to VoltDB — each maps to any object or custom field on the other side.
Interviews Scheduled interview panel events with times and interviewers; read for scheduling reporting and time-to-hire metrics, and creatable via the panels endpoint. Stored Procedures Precompiled transactional units that serve as the primary write interface. Interviews is specific to Lever and Stored Procedures to VoltDB — each maps to any object or custom field on the other side.
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. Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. Notes and Contacts is specific to Lever and Materialized Views to VoltDB — each maps to any object or custom field on the other side.
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. Streams Insert-only constructs that feed the export subsystem with committed rows. Opportunities is specific to Lever and Streams to VoltDB — each maps to any object or custom field on the other side.

How changes propagate between Lever and VoltDB

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.

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

VoltDB Lever Interval-based propagation

DetectionStacksync polls VoltDB for changes on an incremental schedule, reading only records changed since the previous pass. Export streams and topics push committed changes to configured targets.

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

Rate-limit considerations

  • 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.
  • VoltDB: No API rate limits; throughput is bounded by partition count and cluster sizing.
What ships with Lever ⇄ VoltDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Lever or VoltDB 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 Lever or VoltDB record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Lever and VoltDB connectors work

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

VoltDB

Integration surface
SQL over JDBC plus native client libraries and an HTTP/JSON interface
Authentication
Database credentials
Change detection
Export streams and topics push committed changes to configured targets; otherwise polling
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by partition count and cluster sizing.
How it works

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

    Choose tables

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

Lever and VoltDB 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 445 integrations available for Lever and VoltDB.

Popular · 7 of 445
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