Real-time
Two-way sync
Changes in Elasticsearch or Onelogin instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Security and identity
Elasticsearch to Onelogin integration — real-time, two-way sync
Keep Elasticsearch and Onelogin 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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Why teams connect Elasticsearch and Onelogin
Close the gap between your application data and your directory: Elasticsearch and Onelogin share users, groups, and access in real time, in both directions.
Onelogin is the system of record for who people are and what they can reach: users, the groups they belong to, and the applications assigned to them. Elasticsearch holds the operational data those same people show up in, whether an employee or member table that decides who should have an account at all, a customers list, or the rows an application checks before it authorizes an action. The two describe overlapping users and groups, and when a nightly export or a hand-run script is all that connects them, accounts lag joiners and leavers and the application authorizes against a stale picture of who has access.
Stacksync syncs Indices, Documents, Index mappings, Aliases in Elasticsearch with Events, Authentication factors (MFA), Custom user fields, Users in Onelogin field by field, in real time, and in both directions. You decide which system owns which fields, with the directory holding credentials and group membership and the database holding the source list of people who should exist at all, and Stacksync keeps every copy consistent, resolving conflicts by rules you set. A person added to a table becomes an account within seconds, a departure disables one just as fast, and the directory's users and groups are always present in your tables as ordinary rows.
Common use cases
- 01 Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.
- 02 Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
- 03 Keep Role membership aligned with application or database entitlement tables so each role's assigned users match who should hold that access.
- 04 Read Users, Apps, and Groups into a database for identity, license, and app-assignment inventory across the OneLogin account.
Common sync patterns
Read users and groups as ordinary tables
Users, groups, and their memberships from Onelogin land in Elasticsearch as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
Keep group and role membership aligned
A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
One profile, kept current
A name, department, email, or manager corrected in either system updates the other, so the profile the directory shows and the data the application reads stop drifting apart.
What you can sync between Elasticsearch and Onelogin
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 | Onelogin objects | How this pairing syncs | |
|---|---|---|---|
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Groups Account groups used for mapping and reporting; listed and read through the API, which has no create or update endpoint, so groups are read-only. | Ingest pipelines is specific to Elasticsearch and Groups to Onelogin — 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. | Mappings (mapping rules) Attribute-driven rules that assign roles and app access; full CRUD via the Mappings API, then reapplied across matching users. | Index templates is specific to Elasticsearch and Mappings (mapping rules) to Onelogin — each maps to any object or custom field on the other side. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Events Audit log of every authentication and admin action; read-only, filtered by since/until, and pushed live through the Event Webhook. | Indices is specific to Elasticsearch and Events to Onelogin — each maps to any object or custom field on the other side. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Authentication factors (MFA) Per-user registered MFA factors; enrolled, verified, and removed through the MFA API for lifecycle and security workflows. | Documents is specific to Elasticsearch and Authentication factors (MFA) to Onelogin — 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. | Custom user fields Account-level custom attributes on the User record; read and written alongside the standard user profile fields. | Index mappings is specific to Elasticsearch and Custom user fields to Onelogin — 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. | Users User accounts (email, username, custom attributes, status, roles); full CRUD via the v2 Users API - create, update, delete, set password, lock/unlock, and add or remove role assignments. | Aliases is specific to Elasticsearch and Users to Onelogin — each maps to any object or custom field on the other side. |
How changes propagate between Elasticsearch and Onelogin
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 Onelogin 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 Onelogin through its API, with automatic retries and rate-limit backoff.
Onelogin Elasticsearch Sub-second propagation
DetectionOnelogin notifies Stacksync of record changes through webhook events. Event Webhook (Event Broadcaster) posts batches of Event objects to a registered endpoint in near real time.
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.
- Onelogin: Account-level limit of 5,000 API calls per hour shared across all access tokens; responses carry X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset, over-limit calls return HTTP 429, and the count resets each hour. Paid plans can request an increase.
What ships with Elasticsearch ⇄ Onelogin
Connect Elasticsearch and Onelogin for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Onelogin connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Onelogin 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 Onelogin record.
Observability
Monitoring
Track your Elasticsearch ⇄ Onelogin 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 Onelogin.
How the Elasticsearch and Onelogin 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
Onelogin
- Integration surface
- OneLogin API (REST, v1 and v2 resource endpoints on <subdomain>.onelogin.com) plus the Event Webhook (Event Broadcaster) for event delivery
- Authentication
- OAuth 2.0 client credentials - an admin generates an API credential pair (client_id + client_secret) in the OneLogin portal and exchanges it at POST /auth/oauth2/v2/token for a bearer access token sent on every call; each credential carries a scope (Manage all, Manage users, Read users, etc.) that governs read vs write.
- Change detection
- Event Webhook (Event Broadcaster) posts batches of Event objects to a registered endpoint in near real time; the Events API also supports polling with since/until time filters and pagination for historical backfill.
- Capabilities
- read · write · webhooks
- Rate limits
- Account-level limit of 5,000 API calls per hour shared across all access tokens; responses carry X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset, over-limit calls return HTTP 429, and the count resets each hour. Paid plans can request an increase.
How it works
How to connect Elasticsearch to Onelogin — 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 Elasticsearch and Onelogin with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Elasticsearch
connected
Onelogin
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Onelogin 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 · Elasticsearch ⇄ OneloginCustomers 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.
Elasticsearch OneloginCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Onelogin integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Onelogin: authenticate both systems, choose the objects to sync (such as Elasticsearch's Ingest pipelines and Index templates), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Elasticsearch and Onelogin: Read users and groups as ordinary tables; Keep group and role membership aligned; One profile, kept current. Users, groups, and their memberships from Onelogin land in Elasticsearch as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
-
Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Onelogin: OneLogin API (REST, v1 and v2 resource endpoints on <subdomain>.onelogin.com) plus the Event Webhook (Event Broadcaster) for event delivery. Authentication: OAuth 2.0 client credentials - an admin generates an API credential pair (client_id + client_secret) in the OneLogin portal and exchanges it at POST /auth/oauth2/v2/token for a bearer access token sent on every call; each credential carries a scope (Manage all, Manage users, Read users, etc.) that governs read vs write. Stacksync manages authentication, retries, and rate limits on both sides.
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Elasticsearch: A field's mapping is fixed once indexed; changing a field type requires reindexing into a new index, typically swapped in behind an alias. Onelogin: Some write calls are queued to OneLogin's job system and can take up to about five minutes to finish processing rather than completing synchronously. Stacksync's field mapping accounts for these differences between Elasticsearch and Onelogin without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Elasticsearch and Onelogin records are not retained after a sync operation.
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 518 integrations available for Elasticsearch and Onelogin.
Popular · 8 of 518
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Elasticsearch ⇄ Active Directory - Elasticsearch ⇄ Azure Active Directory
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Elasticsearch ⇄ Okta -
Elasticsearch ⇄ Auth0 -
Onelogin ⇄ Azure SQL Database -
Onelogin ⇄ Citus -
Onelogin ⇄ Couchbase -
Onelogin ⇄ DuckDB
No integrations match .
