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Database ⇄ Security and identity

Apache Cassandra to Okta integration — real-time, two-way sync

Keep Apache Cassandra and Okta 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 Apache Cassandra and Okta

Close the gap between your application data and your directory: Apache Cassandra 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. Apache Cassandra 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 Keyspaces, Tables, Partitions and Rows, Materialized Views in Apache Cassandra 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 attributes computed elsewhere (scores, preferences) back into Cassandra tables serving low-latency reads.
  • 02 Feed Cassandra change streams into search indexes or caches that must track the source of truth.
  • 03 Sync Groups and their memberships two-way between Okta and a database or IdP so downstream app access stays aligned with source-of-truth org data.
  • 04 Mirror the System Log into Postgres or a warehouse for security analytics, access reviews, and audit retention beyond Okta's log window.

Common sync patterns

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.

Provision accounts from the source of truth

When a person is added to the employee, member, or customer table in Apache Cassandra, Stacksync creates the matching user in Okta with the right attributes, so access starts from live data instead of a manual ticket.

Deprovision the moment the record changes

When someone is marked inactive or removed in Apache Cassandra, the matching account in Okta is disabled within seconds, closing the window between a departure and a login that still works.

What you can sync between Apache Cassandra and Okta

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.

Apache Cassandra objects Okta objects How this pairing syncs
Tables Wide-column tables addressed by partition key, the unit of row-level sync. 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. Tables is specific to Apache Cassandra and Users to Okta — each maps to any object or custom field on the other side.
Partitions and Rows Records located by partition and clustering keys during reads and upserts. 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. Partitions and Rows is specific to Apache Cassandra and Groups to Okta — each maps to any object or custom field on the other side.
Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. 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. Materialized Views is specific to Apache Cassandra and Applications to Okta — each maps to any object or custom field on the other side.
Secondary Indexes Optional indexes that allow filtered reads outside the partition key. Group Rules Dynamic rules that add users to groups from profile attributes; read and written to automate access based on department, title, or location. Secondary Indexes is specific to Apache Cassandra and Group Rules to Okta — each maps to any object or custom field on the other side.
User-Defined Types Composite column types that syncs must flatten or map to structured fields. 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. User-Defined Types is specific to Apache Cassandra and Factors (Authenticators) to Okta — each maps to any object or custom field on the other side.
Collections List, set, and map columns handled with type-aware field mapping. Policies Sign-on, password, and authenticator-enrollment policies with their rules; read to audit access controls or updated to manage them centrally. Collections is specific to Apache Cassandra and Policies to Okta — each maps to any object or custom field on the other side.

How changes propagate between Apache Cassandra and Okta

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.

Apache Cassandra Okta Sub-second propagation

DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.

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

Okta Apache Cassandra 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 written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Apache Cassandra: No API quotas; throughput is governed by cluster capacity and consistency-level choices.
  • 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.
What ships with Apache Cassandra ⇄ Okta

Connect Apache Cassandra and Okta for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra or Okta 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 Apache Cassandra or Okta record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Okta.

How the Apache Cassandra and Okta connectors work

Apache Cassandra

Integration surface
CQL over the Cassandra native binary protocol
Authentication
Database credentials (password authenticator); TLS and role-based grants where configured
Change detection
Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
Capabilities
read · write · CDC
Rate limits
No API quotas; throughput is governed by cluster capacity and consistency-level choices

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.
How it works

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

    Choose tables

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

Apache Cassandra and Okta 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.

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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 428 integrations available for Apache Cassandra and Okta.

Popular · 8 of 428
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