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Data warehouse ⇄ Security and identity

Databricks to Onelogin integration — real-time, two-way sync

Keep Databricks 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 Databricks and Onelogin

Land the users, groups, and access events from Onelogin in Databricks 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; Databricks 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 Databricks. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.

Stacksync syncs Users, Roles, Apps (app instances), Groups from Onelogin into tables in Databricks in real time, and the connection works in both directions: values computed in Databricks, 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 Serve ML feature outputs computed in Databricks to production apps through a synced operational store.
  • 02 Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
  • 03 Read the OneLogin Events audit log into a warehouse or SIEM for login analytics, access reviews, and SOC 2 audit evidence.
  • 04 Keep Role membership aligned with application or database entitlement tables so each role's assigned users match who should hold that access.

Common sync patterns

Queryable history for audit and compliance

A continuously synced copy in Databricks gives you a durable, queryable record of identity and access state for access reviews, SOC 2, and audit questions.

Risk and review results back on the account

Risk scores, anomaly flags, or access-review outcomes computed in Databricks 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 Databricks as queryable tables, current within seconds instead of a nightly directory export.

What you can sync between Databricks 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.

Databricks objects Onelogin objects How this pairing syncs
Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. 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. Catalogs is specific to Databricks and Users to Onelogin — each maps to any object or custom field on the other side.
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Roles Roles that bundle app access; created, updated, and deleted via the Roles API, with users, admins, and apps assigned to each role. Schemas is specific to Databricks and Roles to Onelogin — each maps to any object or custom field on the other side.
Delta Tables The primary read and write target; operational data lands here as managed or external tables. Apps (app instances) Connected SAML/OIDC application configs on the account; create, update, delete, and assign to users and roles - the writable app catalog. Delta Tables is specific to Databricks and Apps (app instances) to Onelogin — each maps to any object or custom field on the other side.
Views Curated read-only projections used as sync sources for downstream tools. 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. Views is specific to Databricks and Groups to Onelogin — each maps to any object or custom field on the other side.
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Mappings (mapping rules) Attribute-driven rules that assign roles and app access; full CRUD via the Mappings API, then reapplied across matching users. Materialized Views is specific to Databricks and Mappings (mapping rules) to Onelogin — each maps to any object or custom field on the other side.
Volumes Unity Catalog file storage used for staging bulk loads. Events Audit log of every authentication and admin action; read-only, filtered by since/until, and pushed live through the Event Webhook. Volumes is specific to Databricks and Events to Onelogin — each maps to any object or custom field on the other side.

How changes propagate between Databricks 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.

Databricks Onelogin Sub-second propagation

DetectionChanges in Databricks are captured at the source via change data capture — no polling loop against its API. Delta Lake Change Data Feed for row-level changes.

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

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

Rate-limit considerations

  • Databricks: Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits.
  • 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 Databricks ⇄ Onelogin

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks 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 Databricks or Onelogin record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Databricks and Onelogin connectors work

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits

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 Databricks 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 Databricks 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
    Databricks connected
    Onelogin connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Databricks 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 · Databricks ⇄ 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
    Databricks Onelogin
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Databricks 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.

Learn more about security
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:

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 548 integrations available for Databricks and Onelogin.

Popular · 8 of 548
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