Two-way sync
Changes in Apache Pinot or Onelogin instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Pinot 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.
Onelogin 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 Onelogin 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 Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.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 Mappings (mapping rules), Events, Authentication factors (MFA), Custom user fields from Onelogin 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 Onelogin 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.
Join Onelogin's users and group memberships with HR, product, and usage data already in Apache Pinot to surface who holds access they no longer need.
A continuously synced copy in Apache Pinot gives you a durable, queryable record of identity and access state for access reviews, SOC 2, and audit questions.
Risk scores, anomaly flags, or access-review outcomes computed in Apache Pinot write back to attributes on the matching user in Onelogin, where the identity team can act on them.
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 | Onelogin objects | How this pairing syncs | |
|---|---|---|---|
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | Mappings (mapping rules) Attribute-driven rules that assign roles and app access; full CRUD via the Mappings API, then reapplied across matching users. | Segments is specific to Apache Pinot and Mappings (mapping rules) to Onelogin — 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. | Events Audit log of every authentication and admin action; read-only, filtered by since/until, and pushed live through the Event Webhook. | Real-time Tables is specific to Apache Pinot and Events to Onelogin — 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. | Authentication factors (MFA) Per-user registered MFA factors; enrolled, verified, and removed through the MFA API for lifecycle and security workflows. | Offline Tables is specific to Apache Pinot and Authentication factors (MFA) to Onelogin — 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. | Custom user fields Account-level custom attributes on the User record; read and written alongside the standard user profile fields. | Indexes is specific to Apache Pinot and Custom user fields to Onelogin — each maps to any object or custom field on the other side. | |
| Tenants Logical groupings that isolate workloads on shared clusters. | 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. | Tenants is specific to Apache Pinot and Users to Onelogin — each maps to any object or custom field on the other side. | |
| Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Roles Roles that bundle app access; created, updated, and deleted via the Roles API, with users, admins, and apps assigned to each role. | Tables is specific to Apache Pinot and Roles to Onelogin — 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 Onelogin through its API, with automatic retries and rate-limit backoff.
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 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–Onelogin connection.
Changes in Apache Pinot or Onelogin instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Pinot or Onelogin 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 Onelogin record.
Track your Apache Pinot ⇄ Onelogin sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Pinot and Onelogin.
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 Onelogin 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 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.
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 Onelogin: authenticate both systems, choose the objects to sync (such as Apache Pinot's Segments and Real-time Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Apache Pinot side: Tables, Schemas, Segments, Real-time Tables, plus custom fields where Apache Pinot exposes them. On the Onelogin side: Mappings (mapping rules), Events, Authentication factors (MFA), Custom user fields. 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 Onelogin: Access governance on joined data; Queryable history for audit and compliance; Risk and review results back on the account. Join Onelogin's users and group memberships with HR, product, and usage data already in Apache Pinot to surface who holds access they no longer need.
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. 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.
Apache Pinot: Upsert support on real-time tables lets the latest record per primary key win, which suits syncing mutable entities from streams. Onelogin: OneLogin enforces an account-level rate limit of 5,000 API calls per hour shared across all access tokens; exceeding it returns HTTP 429, and the count resets each hour. Stacksync's field mapping accounts for these differences between Apache Pinot and Onelogin 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 Onelogin.