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Human resources ⇄ Database

Namely to SQL Server integration — real-time, two-way sync

Keep Namely and SQL Server 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 SQL Server

Put your workforce data where your apps can reach it: SQL Server 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. SQL Server is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Reports, Profile Fields, Events, Profiles in Namely need to exist as queryable Columns, Primary and Unique Keys, CDC Change Tables, Stored Procedures in SQL Server 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 Columns, Primary and Unique Keys, CDC Change Tables, Stored Procedures in SQL Server with Reports, Profile Fields, Events, Profiles 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 branch or plant databases into a single operational SQL Server hub
  • 02 Bi-directional sync between SQL Server rows and CRM objects so .NET line-of-business apps and sales tools share one dataset
  • 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

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

Reports, Profile Fields, Events, Profiles replicate into SQL Server 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 Namely stay consistent in SQL Server, so hierarchy-driven logic and permissions don't drift.

What you can sync between Namely and SQL Server

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 SQL Server objects How this pairing syncs
Groups Departments and locations that organize Profiles; synced to keep org structure aligned with a warehouse or IdP. Primary and Unique Keys Match keys for idempotent upserts and conflict handling. Groups is specific to Namely and Primary and Unique Keys to SQL Server — each maps to any object or custom field on the other side.
Teams Teams and team categories a Profile belongs to; read and written for org-chart and provisioning workflows. CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. Teams is specific to Namely and CDC Change Tables to SQL Server — 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. Stored Procedures T-SQL logic that can validate or post-process synced rows. Reports is specific to Namely and Stored Procedures to SQL Server — 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. Databases Instance-level databases that scope a sync's reads and writes. Profile Fields is specific to Namely and Databases to SQL Server — 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. Schemas Namespaces (dbo and custom) used to organize synced tables. Events is specific to Namely and Schemas to SQL Server — 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 to records in connected systems. Profiles is specific to Namely and Tables to SQL Server — each maps to any object or custom field on the other side.

How changes propagate between Namely and SQL Server

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 SQL Server 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 SQL Server as a row-level write, with types converted between the two schemas.

SQL Server Namely Sub-second propagation

DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).

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.
  • SQL Server: No API rate limits; throughput depends on instance resources, licensing tier, and connection limits.
What ships with Namely ⇄ SQL Server

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Namely or SQL Server 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 SQL Server record.

Observability

Monitoring

Track your Namely ⇄ SQL Server 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 SQL Server.

How the Namely and SQL Server 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.

SQL Server

Integration surface
SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers
Authentication
Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page
Change detection
SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
SQL Server setup guide
How it works

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

    Choose tables

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

Namely and SQL Server 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 436 integrations available for Namely and SQL Server.

Popular · 4 of 436
All Namely integrations All SQL Server integrations Browse all integrations
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