Skip to content
Security and identity ⇄ Data warehouse

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

Keep Active Directory and Apache Hive 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Active Directory and Apache Hive

Land the users, groups, and access events from Active Directory in Apache Hive 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; 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 Active Directory 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 Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.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 Groups, Group memberships, Devices, Directory roles from Active Directory 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 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 Sync new date partitions incrementally instead of rescanning full tables.
  • 02 Publish Hive aggregate tables to a faster serving database for dashboards.
  • 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

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 Active Directory, where the identity team can act on them.

Directory data in the warehouse, minus the pipeline

Users, groups, and roles from Active Directory 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 Active Directory 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 Active Directory and Apache Hive

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 Apache Hive objects How this pairing syncs
Group memberships Member and owner links between users and groups; membership add/remove changes are surfaced by delta query. Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. Group memberships is specific to Active Directory and Managed Tables to Apache Hive — each maps to any object or custom field on the other side.
Devices Registered and joined device objects; typically read into a database for inventory and compliance reporting. External Tables Tables over existing files in HDFS or object storage, read without moving data. Devices is specific to Active Directory and External Tables to Apache Hive — 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. Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. Directory roles is specific to Active Directory and Partitions to Apache Hive — 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. Views Logical views readable as modeled sources. Service principals & applications is specific to Active Directory and Views to Apache Hive — 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. Materialized Views Precomputed results available in newer Hive versions for faster reads. Organizational units is specific to Active Directory and Materialized Views to Apache Hive — 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. ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Organizational contacts is specific to Active Directory and ACID Tables to Apache Hive — each maps to any object or custom field on the other side.

How changes propagate between Active Directory and Apache Hive

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

Apache Hive Active Directory 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 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.
  • Apache Hive: No API quotas; query latency reflects the batch-oriented execution engine underneath.
What ships with Active Directory ⇄ Apache Hive

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Active Directory or Apache Hive 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 Apache Hive record.

Observability

Monitoring

Track your Active Directory ⇄ Apache Hive 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 Apache Hive.

How the Active Directory and Apache Hive 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.

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
How it works

How to connect Active Directory to Apache Hive — 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 Apache Hive 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
    Apache Hive connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Active Directory and Apache Hive 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 ⇄ Apache Hive
    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 Apache Hive
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Active Directory and Apache Hive 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 438 integrations available for Active Directory and Apache Hive.

Popular · 7 of 438
All Active Directory integrations All Apache Hive integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own