Real-time
Two-way sync
Changes in Lever or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Database
Lever to Render Postgres integration — real-time, two-way sync
Keep Lever and Render Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Lever and Render Postgres
Put your workforce data where your apps can reach it: Render Postgres 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. Render Postgres 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 Materialized Views, Schemas, Columns and Types, Indexes and Constraints in Render Postgres 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 Materialized Views, Schemas, Columns and Types, Indexes and Constraints in Render Postgres 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 Serve as the operational read/write store behind internal tools while Stacksync keeps it consistent with SaaS systems of record.
- 02 Replicate between a Render database and another Postgres or warehouse for migration or environment separation.
- 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
Computed and operational fields flow back
Values assembled or corrected in Render Postgres 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 Materialized Views, Schemas, Columns and Types, Indexes and Constraints in Render Postgres, 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 Render Postgres
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 | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Offers is specific to Lever and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. | |
| Users Lever team members (recruiters, hiring managers) with configurable roles; can be created via POST /users, deactivated, and reactivated through the API. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Users is specific to Lever and Indexes and Constraints to Render Postgres — 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. | Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Stages is specific to Lever and Tables to Render Postgres — 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. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Feedback is specific to Lever and Views to Render Postgres — 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. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Interviews is specific to Lever and Materialized Views to Render Postgres — 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. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Notes and Contacts is specific to Lever and Schemas to Render Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Lever and Render Postgres
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 Render Postgres 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 Render Postgres as a row-level write, with types converted between the two schemas.
Render Postgres Lever Sub-second propagation
DetectionChanges in Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
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.
- Render Postgres: No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
What ships with Lever ⇄ Render Postgres
Connect Lever and Render Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Lever–Render Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Lever or Render Postgres 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 Render Postgres record.
Observability
Monitoring
Track your Lever ⇄ Render Postgres 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 Render Postgres.
How the Lever and Render Postgres 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.
Render Postgres
- Integration surface
- PostgreSQL wire protocol (managed Postgres on Render)
- Authentication
- Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting
- Change detection
- Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
How it works
How to connect Lever to Render Postgres — 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.
- 01
Connect your apps
Authenticate Lever and Render Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Lever
connected
Render Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Lever and Render Postgres 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.
objects · Lever ⇄ Render PostgresCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Lever Render PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Lever and Render Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Lever and Render Postgres: authenticate both systems, choose the objects to sync (such as Lever's Offers and Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
On the Render Postgres side: Materialized Views, Schemas, Columns and Types, Indexes and Constraints, plus custom fields where Render Postgres exposes them. On the Lever side: Stages, Feedback, Interviews, Notes and Contacts. Stacksync auto-detects both schemas and converts types between the two systems.
-
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
-
Common patterns for Lever and Render Postgres: Computed and operational fields flow back; Mirror people records into the database; One directory of record. Values assembled or corrected in Render Postgres write onto the matching record in Lever where those fields are writable, keeping the people system enriched.
-
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). Render Postgres: PostgreSQL wire protocol (managed Postgres on Render). Authentication: Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting. Stacksync manages authentication, retries, and rate limits on both sides.
-
Render Postgres: Logical replication requires wal_level=logical and an available replication slot; plan connection limits make pooling important for busy syncs. 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 Lever and Render Postgres without custom code.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 416 integrations available for Lever and Render Postgres.
Popular · 8 of 416
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Lever ⇄ InterSystems IRIS -
Lever ⇄ MarkLogic -
Lever ⇄ Neo4j -
Lever ⇄ OCI Database (Oracle Cloud) -
Render Postgres ⇄ Paylocity -
Render Postgres ⇄ Ukg Ready -
Render Postgres ⇄ BambooHR -
Render Postgres ⇄ Success Factors
No integrations match .
