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Security and identity ⇄ Data warehouse

Active Directory to Cloudera Data Platform integration — real-time, two-way sync

Keep Active Directory and Cloudera Data Platform 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
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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Active Directory and Cloudera Data Platform

Land the users, groups, and access events from Active Directory in Cloudera Data Platform continuously for security analytics, and write computed results back — without building or maintaining a pipeline.

Active Directory is the record of who exists and what they can reach; Cloudera Data Platform is where the business measures everything else. The two overlap on people and their access — the same users, groups, roles, and events that Active Directory governs are what security, compliance, and analytics teams want to query in Cloudera Data Platform. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.

Stacksync syncs Organizational contacts, Users, Groups, Group memberships from Active Directory into tables in Cloudera Data Platform in real time, and the connection works in both directions: values computed in Cloudera Data Platform, such as risk scores or access-review decisions, can be written back to attributes in Active Directory 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 Consolidate tables from on-prem and cloud CDP environments into a single cloud warehouse target.
  • 02 Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.
  • 03 Keep security-group memberships aligned with application entitlement tables so access reflects the right teams as they change.
  • 04 Read Devices and service principals into a database for identity, asset, and license inventory across the tenant.

Common sync patterns

Directory data in the warehouse, minus the pipeline

Users, groups, and roles from Active Directory arrive in Cloudera Data Platform as queryable tables, current within seconds instead of a nightly directory export.

Access and sign-in analytics

Sign-in and access events from Active Directory land in Cloudera Data Platform, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.

Access governance on joined data

Join Active Directory's users and group memberships with HR, product, and usage data already in Cloudera Data Platform to surface who holds access they no longer need.

What you can sync between Active Directory and Cloudera Data Platform

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.

Active Directory objects Cloudera Data Platform objects How this pairing syncs
Devices Registered and joined device objects; typically read into a database for inventory and compliance reporting. Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. Devices is specific to Active Directory and Hive tables to Cloudera Data Platform — each maps to any object or custom field on the other side.
Directory roles Admin role assignments (directoryRole); read for access reviews and least-privilege governance. Impala tables The same metastore tables served through Impala for lower-latency SQL reads. Directory roles is specific to Active Directory and Impala tables to Cloudera Data Platform — each maps to any object or custom field on the other side.
Service principals & applications App registrations and enterprise apps; read-mostly for entitlement and license inventory. Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. Service principals & applications is specific to Active Directory and Kudu tables to Cloudera Data Platform — each maps to any object or custom field on the other side.
Organizational units On-prem AD DS containers (LDAP organizationalUnit) used to scope which users and groups a sync includes. Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. Organizational units is specific to Active Directory and Iceberg tables to Cloudera Data Platform — each maps to any object or custom field on the other side.
Organizational contacts Directory contact objects (orgContact); synced for shared address-book and CRM person records. Views SQL views that can present curated, sync-ready projections of raw lake data. Organizational contacts is specific to Active Directory and Views to Cloudera Data Platform — each maps to any object or custom field on the other side.
Users User accounts in Entra ID and on-prem AD DS; synced two-way to create, update attributes, and enable or disable accounts. Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. Users is specific to Active Directory and Partitions to Cloudera Data Platform — each maps to any object or custom field on the other side.

How changes propagate between Active Directory and Cloudera Data Platform

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.

Active Directory Cloudera Data Platform Sub-second propagation

DetectionActive Directory notifies Stacksync of record changes through webhook events. Microsoft Graph delta query (change tracking) for Users and Groups, plus change-notification subscriptions (webhooks) for near-real-time triggers.

DeliveryEach detected change is applied to Cloudera Data Platform as a row-level write, with types converted between the two schemas.

Cloudera Data Platform Active Directory Interval-based propagation

DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.

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

Rate-limit considerations

  • Active Directory: Graph throttles by resource-unit cost per app per tenant in 10-second windows (about 3,500–8,000 units by tenant size); directory delta tokens expire after ~7 days.
  • Cloudera Data Platform: Constrained by cluster capacity and admission control rather than API rate limits.
What ships with Active Directory ⇄ Cloudera Data Platform

Connect Active Directory and Cloudera Data Platform for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Active Directory–Cloudera Data Platform connection.

Real-time

Two-way sync

Changes in Active Directory or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Active Directory or Cloudera Data Platform 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 Active Directory or Cloudera Data Platform record.

Observability

Monitoring

Track your Active Directory ⇄ Cloudera Data Platform sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Active Directory and Cloudera Data Platform.

How the Active Directory and Cloudera Data Platform connectors work

Active Directory

Integration surface
Microsoft Graph REST API (Entra ID / cloud) and LDAP/LDAPS (on-premises AD DS)
Authentication
OAuth 2.0 via the Microsoft identity platform — an app registration with application or delegated permissions (e.g. User.ReadWrite.All, Group.ReadWrite.All) and admin consent; on-prem AD DS uses a bound service account over LDAPS.
Change detection
Microsoft Graph delta query (change tracking) for Users and Groups, plus change-notification subscriptions (webhooks) for near-real-time triggers; on-prem AD DS uses the DirSync control and uSNChanged polling.
Capabilities
read · write · webhooks
Rate limits
Graph throttles by resource-unit cost per app per tenant in 10-second windows (about 3,500–8,000 units by tenant size); directory delta tokens expire after ~7 days.

Cloudera Data Platform

Integration surface
JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs
Authentication
Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway
Change detection
Polling via SQL on timestamp or partition columns; no consumer-facing change feed
Capabilities
read · write
Rate limits
Constrained by cluster capacity and admission control rather than API rate limits
How it works

How to connect Active Directory to Cloudera Data Platform — 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 Active Directory and Cloudera Data Platform 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
    Active Directory connected
    Cloudera Data Platform connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Active Directory and Cloudera Data Platform 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 · Active Directory ⇄ Cloudera Data Platform
    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
    Active Directory Cloudera Data Platform
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Active Directory and Cloudera Data Platform 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 434 integrations available for Active Directory and Cloudera Data Platform.

Popular · 7 of 434
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