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Database ⇄ Human resources

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

Keep Couchbase 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 Couchbase and Lever

Put your workforce data where your apps can reach it: Couchbase 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. Couchbase 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 Scopes, Collections, JSON Documents, Global Secondary Indexes in Couchbase 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 Scopes, Collections, JSON Documents, Global Secondary Indexes in Couchbase 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 Write cleaned or enriched records from operational databases back into Couchbase collections that applications read.
  • 02 Sync Couchbase JSON documents into Postgres or a warehouse where analysts work with flattened relational tables.
  • 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

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

Users, Stages, Feedback, Interviews replicate into Couchbase 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 Couchbase, so hierarchy-driven logic and permissions don't drift.

What you can sync between Couchbase 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.

Couchbase objects Lever objects How this pairing syncs
Buckets Top-level data containers, roughly analogous to a database, that scope replication and memory quotas. 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. Buckets is specific to Couchbase and Notes and Contacts to Lever — each maps to any object or custom field on the other side.
Scopes Namespaces inside a bucket used to group collections, similar to schemas. 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. Scopes is specific to Couchbase and Opportunities to Lever — each maps to any object or custom field on the other side.
Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. 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. Collections is specific to Couchbase and Postings to Lever — each maps to any object or custom field on the other side.
JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. 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. JSON Documents is specific to Couchbase and Requisitions to Lever — each maps to any object or custom field on the other side.
Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. 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. Global Secondary Indexes is specific to Couchbase and Offers to Lever — each maps to any object or custom field on the other side.
XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. Users Lever team members (recruiters, hiring managers) with configurable roles; can be created via POST /users, deactivated, and reactivated through the API. XDCR replications is specific to Couchbase and Users to Lever — each maps to any object or custom field on the other side.

How changes propagate between Couchbase 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.

Couchbase Lever Sub-second propagation

DetectionChanges in Couchbase are captured at the source via change data capture — no polling loop against its API. Database Change Protocol (DCP) streams document mutations.

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

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

Rate-limit considerations

  • Couchbase: Throughput is bounded by cluster sizing rather than API rate limits.
  • 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 Couchbase ⇄ Lever

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Couchbase 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 Couchbase or Lever record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Couchbase and Lever connectors work

Couchbase

Integration surface
SQL++ (N1QL) query service, key-value SDK APIs, and REST management APIs
Authentication
Database credentials with role-based access control, typically over TLS
Change detection
Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative
Capabilities
read · write · CDC
Rate limits
Throughput is bounded by cluster sizing rather than API rate limits

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

    Choose tables

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

Couchbase 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 421 integrations available for Couchbase and Lever.

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