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Security and identity ⇄ Database

Okta to Redis Enterprise integration — real-time, two-way sync

Keep Okta and Redis Enterprise 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 Okta and Redis Enterprise

Close the gap between your application data and your directory: Redis Enterprise and Okta share users, groups, and access in real time, in both directions.

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. Redis Enterprise 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 Sorted Sets, Lists, Streams, Pub/Sub channels in Redis Enterprise with Factors (Authenticators), Policies, System Log, Devices 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.

Common use cases

  • 01 Write counters and leaderboard state from sorted sets back to an operational database for durable reporting.
  • 02 Cache CRM or ERP records into Redis hashes so applications read customer data with sub-millisecond in-memory latency instead of hitting SaaS APIs.
  • 03 Mirror the System Log into Postgres or a warehouse for security analytics, access reviews, and audit retention beyond Okta's log window.
  • 04 Read Application assignments and Factors into a database to report on who can reach which app and which users have strong MFA enrolled.

Common sync patterns

Read users and groups as ordinary tables

Users, groups, and their memberships from Okta land in Redis Enterprise 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 Okta and Redis Enterprise

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 Redis Enterprise objects How this pairing syncs
Devices Registered and managed device records tied to users; read to correlate access with device posture and to feed inventory or conditional-access reporting. JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. Devices is specific to Okta and JSON documents to Redis Enterprise — 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. Sets Unordered unique-member collections used for membership checks like segment or ID lists. Users is specific to Okta and Sets to Redis Enterprise — 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. Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. Groups is specific to Okta and Sorted Sets to Redis Enterprise — 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. Lists Ordered sequences often used as lightweight queues fed by sync events. Applications is specific to Okta and Lists to Redis Enterprise — 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. Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. Group Rules is specific to Okta and Streams to Redis Enterprise — each maps to any object or custom field on the other side.
Factors (Authenticators) MFA enrollments per user (Okta Verify, WebAuthn, SMS, email); read for security-posture reporting and reset when a device is lost or rotated. Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. Factors (Authenticators) is specific to Okta and Pub/Sub channels to Redis Enterprise — each maps to any object or custom field on the other side.

How changes propagate between Okta and Redis Enterprise

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.

Okta Redis Enterprise Sub-second propagation

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 applied to Redis Enterprise as a row-level write, with types converted between the two schemas.

Redis Enterprise Okta Interval-based propagation

DetectionStacksync polls Redis Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Keyspace notifications over pub/sub or reads from Redis Streams.

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

Rate-limit considerations

  • Okta: Rate limits are enforced per org, per endpoint group, per minute and vary by Okta edition; responses carry X-Rate-Limit-Limit, X-Rate-Limit-Remaining, and X-Rate-Limit-Reset headers and exceeding one returns HTTP 429. The System Log is more tightly limited (about 120 requests/minute) and a separate concurrent-request cap (default 75 in-flight transactions) also applies.
  • Redis Enterprise: Throughput is bounded by provisioned cluster capacity rather than published API rate limits.
What ships with Okta ⇄ Redis Enterprise

Connect Okta and Redis Enterprise for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Okta–Redis Enterprise connection.

Real-time

Two-way sync

Changes in Okta or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Okta or Redis Enterprise 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 Okta or Redis Enterprise record.

Observability

Monitoring

Track your Okta ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Okta and Redis Enterprise.

How the Okta and Redis Enterprise connectors work

Okta

Integration surface
REST API (Okta Management API, /api/v1) with Event Hooks for outbound events and the System Log API as the change feed
Authentication
SSWS API tokens (Authorization: SSWS {token}) scoped to the creating admin's permissions, or OAuth 2.0 for Okta service apps using a private-key-JWT client-credentials grant with granular scopes (DPoP supported)
Change detection
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
Capabilities
read · write · webhooks
Rate limits
Rate limits are enforced per org, per endpoint group, per minute and vary by Okta edition; responses carry X-Rate-Limit-Limit, X-Rate-Limit-Remaining, and X-Rate-Limit-Reset headers and exceeding one returns HTTP 429. The System Log is more tightly limited (about 120 requests/minute) and a separate concurrent-request cap (default 75 in-flight transactions) also applies.

Redis Enterprise

Integration surface
Redis wire protocol (RESP) via client libraries; separate REST API for cluster management
Authentication
Password or ACL-based credentials, typically over TLS
Change detection
Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data
Capabilities
read · write
Rate limits
Throughput is bounded by provisioned cluster capacity rather than published API rate limits
How it works

How to connect Okta to Redis Enterprise — 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 Okta and Redis Enterprise 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
    Okta connected
    Redis Enterprise connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Okta and Redis Enterprise 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 · Okta ⇄ Redis Enterprise
    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
    Okta Redis Enterprise
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Okta and Redis Enterprise 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.

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 432 integrations available for Okta and Redis Enterprise.

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