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Data warehouse ⇄ Human resources

Amazon Redshift to Namely integration — real-time, two-way sync

Keep Amazon Redshift and Namely 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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Why teams connect Amazon Redshift and Namely

Land the people and organization records from Namely in Amazon Redshift as live tables for workforce reporting, without extract jobs, and write computed results back where Namely can use them.

Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether Namely is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Amazon Redshift next to everything else the company measures.

Stacksync syncs Profiles, Job Titles, Job Tiers, Groups from Namely into tables in Amazon Redshift continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Amazon Redshift, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Namely where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.

Common use cases

  • 01 Centralize CRM, ERP, and product data in Redshift so analysts join it with warehouse tables.
  • 02 Publish finance rollups computed in Redshift back to spreadsheets or operational tools.
  • 03 Map Job Titles and Job Tiers into a warehouse dimension table so leveling and seniority stay consistent across HR, finance, and BI reporting.
  • 04 Push Groups and Teams (departments, locations, team categories) into downstream apps to keep org structure and reporting lines aligned.

Common sync patterns

HR data in the warehouse, minus the pipeline

People and organization records from Namely arrive in Amazon Redshift as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.

Headcount and cost joined with everything else

Analysts combine Namely's workforce records with finance, product, or operational data already in Amazon Redshift for reporting the HR system cannot produce on its own.

Fresh data instead of last night's load

Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.

What you can sync between Amazon Redshift and Namely

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.

Amazon Redshift objects Namely objects How this pairing syncs
Materialized Views Precomputed results that downstream syncs can read for performance. Job Tiers Leveling hierarchy grouping zero-to-many Job Titles; read to map seniority into warehouse dimension tables. Materialized Views is specific to Amazon Redshift and Job Tiers to Namely — each maps to any object or custom field on the other side.
External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. Groups Departments and locations that organize Profiles; synced to keep org structure aligned with a warehouse or IdP. External Tables (Spectrum) is specific to Amazon Redshift and Groups to Namely — each maps to any object or custom field on the other side.
Stored Procedures SQL procedures sometimes invoked around load steps. Teams Teams and team categories a Profile belongs to; read and written for org-chart and provisioning workflows. Stored Procedures is specific to Amazon Redshift and Teams to Namely — each maps to any object or custom field on the other side.
Users and Groups Principals used to grant a sync connection scoped access. Reports Saved Namely reports returned as JSON snapshots that update instantly; read-only feeds for headcount and roster analytics. Users and Groups is specific to Amazon Redshift and Reports to Namely — each maps to any object or custom field on the other side.
Databases Top-level containers within a cluster or serverless workgroup. Profile Fields Metadata describing standard and company-defined custom field sections; read to discover schema and generate mappings. Databases is specific to Amazon Redshift and Profile Fields to Namely — each maps to any object or custom field on the other side.
Schemas Namespaces used to organize synced tables and control grants. Events Home-feed items such as announcements, birthdays, anniversaries, and new arrivals; typically read-only into comms tools. Schemas is specific to Amazon Redshift and Events to Namely — each maps to any object or custom field on the other side.

How changes propagate between Amazon Redshift and Namely

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.

Amazon Redshift Namely Interval-based propagation

DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.

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

Namely Amazon Redshift 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 Amazon Redshift as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Redshift: Bounded by cluster or serverless capacity and concurrency settings rather than API quotas.
  • 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.
What ships with Amazon Redshift ⇄ Namely

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Redshift or Namely 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 Amazon Redshift or Namely record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Amazon Redshift and Namely connectors work

Amazon Redshift

Integration surface
SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS
Authentication
Database credentials or IAM-based authentication
Change detection
Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers
Capabilities
read · write
Rate limits
Bounded by cluster or serverless capacity and concurrency settings rather than API quotas

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.
How it works

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

    Choose tables

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

Amazon Redshift and Namely 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
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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 439 integrations available for Amazon Redshift and Namely.

Popular · 4 of 439
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