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Human resources ⇄ Database

Namely to PostgreSQL integration — real-time, two-way sync

Keep Namely and PostgreSQL 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 Namely and PostgreSQL

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

Namely is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. PostgreSQL is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Job Titles, Job Tiers, Groups, Teams in Namely need to exist as queryable Custom Types and Enums, Tables, Views, Materialized Views in PostgreSQL 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 Custom Types and Enums, Tables, Views, Materialized Views in PostgreSQL with Job Titles, Job Tiers, Groups, Teams in Namely field by field, in real time. You decide which system owns which fields — Namely 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 Consolidate data from several microservice databases into one operational Postgres store
  • 02 Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
  • 03 Feed Namely Reports as JSON into a database on a schedule for roster, turnover, and diversity dashboards without manual CSV exports.
  • 04 Provision or deprovision accounts in an IdP or directory when a Profile's user_status or start_date changes, and write the resulting user ID and email back onto the Profile.

Common sync patterns

Computed and operational fields flow back

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

Mirror people records into the database

Records maintained in Namely land as queryable Custom Types and Enums, Tables, Views, Materialized Views in PostgreSQL, 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 Namely and PostgreSQL

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.

Namely objects PostgreSQL objects How this pairing syncs
Teams Teams and team categories a Profile belongs to; read and written for org-chart and provisioning workflows. Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. Teams is specific to Namely and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side.
Reports Saved Namely reports returned as JSON snapshots that update instantly; read-only feeds for headcount and roster analytics. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Reports is specific to Namely and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side.
Profile Fields Metadata describing standard and company-defined custom field sections; read to discover schema and generate mappings. Sequences Generate surrogate keys for rows created by inbound syncs. Profile Fields is specific to Namely and Sequences to PostgreSQL — each maps to any object or custom field on the other side.
Events Home-feed items such as announcements, birthdays, anniversaries, and new arrivals; typically read-only into comms tools. Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Events is specific to Namely and Custom Types and Enums to PostgreSQL — each maps to any object or custom field on the other side.
Profiles The core employee record (personal, job, contact, and compensation fields); synced two-way via GET/POST/PUT with updated_at driving incremental polling. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Profiles is specific to Namely and Tables to PostgreSQL — each maps to any object or custom field on the other side.
Job Titles Job title definitions; read and written so titles stay aligned with an HRIS, directory, or reporting dimension. Views Read-side projections used to expose joined or filtered data to a sync. Job Titles is specific to Namely and Views to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Namely and PostgreSQL

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.

Namely PostgreSQL Interval-based propagation

DetectionStacksync polls Namely for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks.

DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL Namely Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

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

Rate-limit considerations

  • Namely: Namely's public docs do not publish a fixed request quota; the REST API returns standard HTTP status codes, so integrations should throttle and back off on 429/5xx responses.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Namely ⇄ PostgreSQL

Connect Namely and PostgreSQL for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Namely or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Namely or PostgreSQL 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 Namely or PostgreSQL record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Namely and PostgreSQL.

How the Namely and PostgreSQL connectors work

Namely

Integration surface
REST API (JSON over HTTPS)
Authentication
OAuth 2.0 authorization-code grant, or a personal access token sent as a Bearer token; all calls run over HTTPS against https://{subdomain}.namely.com/api/v1
Change detection
No webhooks; integrations poll GET endpoints and compare the updated_at / created_at timestamps on Profiles and related objects to detect changes
Capabilities
read · write
Rate limits
Namely's public docs do not publish a fixed request quota; the REST API returns standard HTTP status codes, so integrations should throttle and back off on 429/5xx responses.

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

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

    Choose tables

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

Namely and PostgreSQL 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 442 integrations available for Namely and PostgreSQL.

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