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Database ⇄ Human resources

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

Keep Elasticsearch 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Elasticsearch and Namely

Put your workforce data where your apps can reach it: Elasticsearch 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. Elasticsearch is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Profile Fields, Events, Profiles, Job Titles in Namely need to exist as queryable Index mappings, Aliases, Data streams, Ingest pipelines in Elasticsearch 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 Index mappings, Aliases, Data streams, Ingest pipelines in Elasticsearch with Profile Fields, Events, Profiles, Job Titles 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 Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
  • 02 Mirror support tickets into an index used for full-text search and agent-assist tooling.
  • 03 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.
  • 04 Map Job Titles and Job Tiers into a warehouse dimension table so leveling and seniority stay consistent across HR, finance, and BI reporting.

Common sync patterns

Computed and operational fields flow back

Values assembled or corrected in Elasticsearch 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 Index mappings, Aliases, Data streams, Ingest pipelines in Elasticsearch, 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 Elasticsearch 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.

Elasticsearch objects Namely objects How this pairing syncs
Documents The unit of sync; JSON records created, updated, and deleted by _id. Job Titles Job title definitions; read and written so titles stay aligned with an HRIS, directory, or reporting dimension. Documents is specific to Elasticsearch and Job Titles to Namely — each maps to any object or custom field on the other side.
Index mappings Field type definitions that determine how synced fields are indexed and queried. Job Tiers Leveling hierarchy grouping zero-to-many Job Titles; read to map seniority into warehouse dimension tables. Index mappings is specific to Elasticsearch and Job Tiers to Namely — each maps to any object or custom field on the other side.
Aliases Stable read/write names that let a sync cut over between index versions without downtime. Groups Departments and locations that organize Profiles; synced to keep org structure aligned with a warehouse or IdP. Aliases is specific to Elasticsearch and Groups to Namely — each maps to any object or custom field on the other side.
Data streams Append-only targets for time-series or event data pushed from source systems. Teams Teams and team categories a Profile belongs to; read and written for org-chart and provisioning workflows. Data streams is specific to Elasticsearch and Teams to Namely — each maps to any object or custom field on the other side.
Ingest pipelines Server-side transforms applied to documents as a sync writes them. Reports Saved Namely reports returned as JSON snapshots that update instantly; read-only feeds for headcount and roster analytics. Ingest pipelines is specific to Elasticsearch and Reports to Namely — each maps to any object or custom field on the other side.
Index templates Reusable settings and mappings applied automatically to new indices a sync creates. Profile Fields Metadata describing standard and company-defined custom field sections; read to discover schema and generate mappings. Index templates is specific to Elasticsearch and Profile Fields to Namely — each maps to any object or custom field on the other side.

How changes propagate between Elasticsearch 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.

Elasticsearch Namely Interval-based propagation

DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.

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

Namely Elasticsearch 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 written to Elasticsearch through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
  • 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 Elasticsearch ⇄ Namely

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or Namely record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Elasticsearch and Namely connectors work

Elasticsearch

Integration surface
REST API (JSON over HTTP)
Authentication
API keys or basic authentication; Elastic Cloud also issues service account tokens
Change detection
Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
Capabilities
read · write
Rate limits
No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity

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 Elasticsearch 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 Elasticsearch 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
    Elasticsearch connected
    Namely connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Elasticsearch 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
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 417 integrations available for Elasticsearch and Namely.

Popular · 4 of 417
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