Two-way sync
Changes in Okta or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Keep Okta and OpenSearch in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Okta 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. OpenSearch 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 Index aliases, Index templates, Ingest pipelines, Data streams in OpenSearch with Groups, Applications, Group Rules, Factors (Authenticators) in Okta 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.
Users, groups, and their memberships from Okta land in OpenSearch as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
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.
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.
| Okta objects | OpenSearch objects | How this pairing syncs | |
|---|---|---|---|
| System Log Immutable audit event stream of logins, admin changes, and lifecycle events; read-only, polled by timestamp and used as the change feed and SIEM source. | Indexes The core container; synced records land in indexes with defined mappings | System Log is specific to Okta and Indexes to OpenSearch — each maps to any object or custom field on the other side. | |
| Devices Registered and managed device records tied to users; read to correlate access with device posture and to feed inventory or conditional-access reporting. | Documents JSON records written via the index and bulk APIs and read via search queries | Devices is specific to Okta and Documents to OpenSearch — each maps to any object or custom field on the other side. | |
| Users Universal Directory user records with profile attributes, credentials, and lifecycle status (staged, active, suspended, deprovisioned); full CRUD, so users are created, updated, activated, and deactivated to match an HR or identity source. | Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | Users is specific to Okta and Index aliases to OpenSearch — each maps to any object or custom field on the other side. | |
| Groups Okta groups (OKTA_GROUP, APP_GROUP, BUILT_IN) and their memberships; OKTA_GROUP records and membership are written to drive app and resource access. | Index templates Mapping and settings presets applied to new indexes a sync creates | Groups is specific to Okta and Index templates to OpenSearch — each maps to any object or custom field on the other side. | |
| Applications App integrations (SAML, OIDC, SWA) with per-user and per-group assignments; read and updated to manage which identities can reach each downstream app. | Ingest pipelines Server-side processors that transform documents as they are written | Applications is specific to Okta and Ingest pipelines to OpenSearch — each maps to any object or custom field on the other side. | |
| Group Rules Dynamic rules that add users to groups from profile attributes; read and written to automate access based on department, title, or location. | Data streams Append-oriented time-series storage for logs and events pushed from source systems | Group Rules is specific to Okta and Data streams to OpenSearch — each maps to any object or custom field on the other side. |
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.
DetectionOkta notifies Stacksync of record changes through webhook events. Event Hooks send an HTTPS POST to a subscribed endpoint on events such as user.lifecycle.create and group.user_membership.add (after a one-time.
DeliveryEach detected change is written to OpenSearch through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls OpenSearch for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
DeliveryEach detected change is written to Okta through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Okta–OpenSearch connection.
Changes in Okta or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Okta or OpenSearch data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Okta or OpenSearch record.
Track your Okta ⇄ OpenSearch sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Okta and OpenSearch.
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.
Authenticate Okta and OpenSearch with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Okta and OpenSearch 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Okta and OpenSearch: authenticate both systems, choose the objects to sync (such as Okta's System Log and Devices), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Okta and OpenSearch. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Okta: Event Hooks send an HTTPS POST to a subscribed endpoint on events such as user.lifecycle.create and group.user_membership.add (after a one-time verification handshake); the System Log API (/api/v1/logs) is polled by the since parameter and the next Link header for a near-real-time change feed. On OpenSearch: No native change feed; reads rely on queries with scroll or point-in-time polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the OpenSearch side: Index aliases, Index templates, Ingest pipelines, Data streams, plus custom fields where OpenSearch exposes them. On the Okta side: Groups, Applications, Group Rules, Factors (Authenticators). Stacksync auto-detects both schemas and converts types between the two systems.
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 Okta and OpenSearch: Read users and groups as ordinary tables; Keep group and role membership aligned; One profile, kept current. Users, groups, and their memberships from Okta land in OpenSearch as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 422 integrations available for Okta and OpenSearch.