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Data warehouse ⇄ Security and identity

Apache Hive to Onelogin integration — real-time, two-way sync

Keep Apache Hive 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.

  • 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 Apache Hive and Onelogin

Land the users, groups, and access events from Onelogin in Apache Hive continuously for security analytics, and write computed results back — without building or maintaining a pipeline.

Onelogin is the record of who exists and what they can reach; Apache Hive 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 Hive. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.

Stacksync syncs Events, Authentication factors (MFA), Custom user fields, Users from Onelogin into tables in Apache Hive in real time, and the connection works in both directions: values computed in Apache Hive, 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.

Common use cases

  • 01 Load records from CRMs and databases into partitioned Hive tables for long-term analytical storage.
  • 02 Sync new date partitions incrementally instead of rescanning full tables.
  • 03 Keep Role membership aligned with application or database entitlement tables so each role's assigned users match who should hold that access.
  • 04 Read Users, Apps, and Groups into a database for identity, license, and app-assignment inventory across the OneLogin account.

Common sync patterns

Risk and review results back on the account

Risk scores, anomaly flags, or access-review outcomes computed in Apache Hive write back to attributes on the matching user in Onelogin, where the identity team can act on them.

Directory data in the warehouse, minus the pipeline

Users, groups, and roles from Onelogin arrive in Apache Hive as queryable tables, current within seconds instead of a nightly directory export.

Access and sign-in analytics

Sign-in and access events from Onelogin land in Apache Hive, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.

What you can sync between Apache Hive and Onelogin

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 Hive objects Onelogin objects How this pairing syncs
Materialized Views Precomputed results available in newer Hive versions for faster reads. Apps (app instances) Connected SAML/OIDC application configs on the account; create, update, delete, and assign to users and roles - the writable app catalog. Materialized Views is specific to Apache Hive and Apps (app instances) to Onelogin — each maps to any object or custom field on the other side.
ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Groups Account groups used for mapping and reporting; listed and read through the API, which has no create or update endpoint, so groups are read-only. ACID Tables is specific to Apache Hive and Groups to Onelogin — each maps to any object or custom field on the other side.
Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. Mappings (mapping rules) Attribute-driven rules that assign roles and app access; full CRUD via the Mappings API, then reapplied across matching users. Metastore Catalog is specific to Apache Hive and Mappings (mapping rules) to Onelogin — each maps to any object or custom field on the other side.
Databases Metastore namespaces that scope tables and grants. Events Audit log of every authentication and admin action; read-only, filtered by since/until, and pushed live through the Event Webhook. Databases is specific to Apache Hive and Events to Onelogin — each maps to any object or custom field on the other side.
Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. Authentication factors (MFA) Per-user registered MFA factors; enrolled, verified, and removed through the MFA API for lifecycle and security workflows. Managed Tables is specific to Apache Hive and Authentication factors (MFA) to Onelogin — each maps to any object or custom field on the other side.
External Tables Tables over existing files in HDFS or object storage, read without moving data. Custom user fields Account-level custom attributes on the User record; read and written alongside the standard user profile fields. External Tables is specific to Apache Hive and Custom user fields to Onelogin — each maps to any object or custom field on the other side.

How changes propagate between Apache Hive and Onelogin

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 Hive Onelogin Interval-based propagation

DetectionStacksync polls Apache Hive for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition values or timestamp columns.

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

Onelogin Apache Hive Sub-second propagation

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 Hive as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Hive: No API quotas; query latency reflects the batch-oriented execution engine underneath.
  • Onelogin: Account-level limit of 5,000 API calls per hour shared across all access tokens; responses carry X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset, over-limit calls return HTTP 429, and the count resets each hour. Paid plans can request an increase.
What ships with Apache Hive ⇄ Onelogin

Connect Apache Hive and Onelogin for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Hive or Onelogin 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 Hive or Onelogin record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Hive and Onelogin.

How the Apache Hive and Onelogin connectors work

Apache Hive

Integration surface
SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition values or timestamp columns; no general-purpose change log for external consumers
Capabilities
read · write
Rate limits
No API quotas; query latency reflects the batch-oriented execution engine underneath

Onelogin

Integration surface
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.
Change detection
Event Webhook (Event Broadcaster) posts batches of Event objects to a registered endpoint in near real time; the Events API also supports polling with since/until time filters and pagination for historical backfill.
Capabilities
read · write · webhooks
Rate limits
Account-level limit of 5,000 API calls per hour shared across all access tokens; responses carry X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset, over-limit calls return HTTP 429, and the count resets each hour. Paid plans can request an increase.
How it works

How to connect Apache Hive to Onelogin — 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 Hive 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Hive connected
    Onelogin connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Hive 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Hive ⇄ Onelogin
    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 Hive Onelogin
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Hive and Onelogin 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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→ 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:

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 438 integrations available for Apache Hive and Onelogin.

Popular · 8 of 438
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