Two-way sync
Changes in Apache Pinot or Okta instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Pinot 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.
Okta is the record of who exists and what they can reach; Apache Pinot is where the business measures everything else. The two overlap on people and their access — the same users, groups, roles, and events that Okta governs are what security, compliance, and analytics teams want to query in Apache Pinot. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.
Stacksync syncs Group Rules, Factors (Authenticators), Policies, System Log from Okta into tables in Apache Pinot in real time, and the connection works in both directions: values computed in Apache Pinot, such as risk scores or access-review decisions, can be written back to attributes in Okta where the identity team acts on them. Schema changes are handled, API limits are managed, and the sync is something you configure rather than a pipeline you keep alive.
Users, groups, and roles from Okta arrive in Apache Pinot as queryable tables, current within seconds instead of a nightly directory export.
Sign-in and access events from Okta land in Apache Pinot, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.
Join Okta's users and group memberships with HR, product, and usage data already in Apache Pinot to surface who holds access they no longer need.
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 Pinot objects | Okta objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | 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. | Schemas is specific to Apache Pinot and System Log to Okta — each maps to any object or custom field on the other side. | |
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | Devices Registered and managed device records tied to users; read to correlate access with device posture and to feed inventory or conditional-access reporting. | Segments is specific to Apache Pinot and Devices to Okta — each maps to any object or custom field on the other side. | |
| Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | 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. | Real-time Tables is specific to Apache Pinot and Users to Okta — each maps to any object or custom field on the other side. | |
| Offline Tables Batch-loaded tables merged with real-time data at query time. | 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. | Offline Tables is specific to Apache Pinot and Groups to Okta — each maps to any object or custom field on the other side. | |
| Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | 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. | Indexes is specific to Apache Pinot and Applications to Okta — each maps to any object or custom field on the other side. | |
| Tenants Logical groupings that isolate workloads on shared clusters. | Group Rules Dynamic rules that add users to groups from profile attributes; read and written to automate access based on department, title, or location. | Tenants is specific to Apache Pinot and Group Rules to Okta — 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.
DetectionStacksync polls Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.
DeliveryEach detected change is written to Okta through its API, with automatic retries and rate-limit backoff.
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 Apache Pinot as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Okta connection.
Changes in Apache Pinot or Okta instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Pinot or Okta data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Pinot or Okta record.
Track your Apache Pinot ⇄ Okta sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Pinot and Okta.
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 Apache Pinot 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.
Pick the Apache Pinot 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.
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 Apache Pinot and Okta: authenticate both systems, choose the objects to sync (such as Apache Pinot's Schemas and Segments), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Apache Pinot side: Segments, Real-time Tables, Offline Tables, Indexes, plus custom fields where Apache Pinot exposes them. On the Okta side: Group Rules, Factors (Authenticators), Policies, System Log. 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 Apache Pinot and Okta: Directory data in the warehouse, minus the pipeline; Access and sign-in analytics; Access governance on joined data. Users, groups, and roles from Okta arrive in Apache Pinot as queryable tables, current within seconds instead of a nightly directory export.
Apache Pinot: REST API (SQL queries via the broker; administration via the controller); JDBC client available. Authentication: Deployment-dependent: HTTP basic authentication or token-based auth where enabled. Okta: 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). Stacksync manages authentication, retries, and rate limits on both sides.
Apache Pinot: The star-tree index pre-aggregates along configured dimensions, trading storage for consistently low query latency. Okta: There is no database-style change log; near-real-time change detection uses Event Hooks (outbound HTTPS POST with a one-time verification challenge) and polling the System Log API by timestamp with the next Link header. Stacksync's field mapping accounts for these differences between Apache Pinot and Okta without custom code.
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 435 integrations available for Apache Pinot and Okta.