Real-time
Two-way sync
Changes in Active Directory or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Active Directory to Elasticsearch integration — real-time, two-way sync
Keep Active Directory and Elasticsearch 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 Active Directory and Elasticsearch
Close the gap between your application data and your directory: Elasticsearch and Active Directory share users, groups, and access in real time, in both directions.
Active Directory is the system of record for who people are and what they can reach: users, the groups they belong to, and the applications assigned to them. Elasticsearch holds the operational data those same people show up in, whether an employee or member table that decides who should have an account at all, a customers list, or the rows an application checks before it authorizes an action. The two describe overlapping users and groups, and when a nightly export or a hand-run script is all that connects them, accounts lag joiners and leavers and the application authorizes against a stale picture of who has access.
Stacksync syncs Ingest pipelines, Index templates, Indices, Documents in Elasticsearch with Groups, Group memberships, Devices, Directory roles in Active Directory field by field, in real time, and in both directions. You decide which system owns which fields, with the directory holding credentials and group membership and the database holding the source list of people who should exist at all, and Stacksync keeps every copy consistent, resolving conflicts by rules you set. A person added to a table becomes an account within seconds, a departure disables one just as fast, and the directory's users and groups are always present in your tables as ordinary rows.
Common use cases
- 01 Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
- 02 Mirror support tickets into an index used for full-text search and agent-assist tooling.
- 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
Read users and groups as ordinary tables
Users, groups, and their memberships from Active Directory land in Elasticsearch as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
Keep group and role membership aligned
A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
One profile, kept current
A name, department, email, or manager corrected in either system updates the other, so the profile the directory shows and the data the application reads stop drifting apart.
What you can sync between Active Directory and Elasticsearch
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 | Elasticsearch objects | How this pairing syncs | |
|---|---|---|---|
| Group memberships Member and owner links between users and groups; membership add/remove changes are surfaced by delta query. | Documents The unit of sync; JSON records created, updated, and deleted by _id. | Group memberships is specific to Active Directory and Documents to Elasticsearch — 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. | Index mappings Field type definitions that determine how synced fields are indexed and queried. | Devices is specific to Active Directory and Index mappings to Elasticsearch — 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. | Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Directory roles is specific to Active Directory and Aliases to Elasticsearch — 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. | Data streams Append-only targets for time-series or event data pushed from source systems. | Service principals & applications is specific to Active Directory and Data streams to Elasticsearch — 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. | Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Organizational units is specific to Active Directory and Ingest pipelines to Elasticsearch — 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. | Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Organizational contacts is specific to Active Directory and Index templates to Elasticsearch — each maps to any object or custom field on the other side. |
How changes propagate between Active Directory and Elasticsearch
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 Elasticsearch 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 written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Elasticsearch Active Directory Interval-based propagation
DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.
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.
- Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
What ships with Active Directory ⇄ Elasticsearch
Connect Active Directory and Elasticsearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Active Directory–Elasticsearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Active Directory or Elasticsearch 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 Elasticsearch record.
Observability
Monitoring
Track your Active Directory ⇄ Elasticsearch 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 Elasticsearch.
How the Active Directory and Elasticsearch 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.
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
How it works
How to connect Active Directory to Elasticsearch — 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.
- 01
Connect your apps
Authenticate Active Directory and Elasticsearch with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Active Directory
connected
Elasticsearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Active Directory and Elasticsearch 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.
objects · Active Directory ⇄ ElasticsearchCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Active Directory ElasticsearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Active Directory and Elasticsearch integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Active Directory and Elasticsearch: authenticate both systems, choose the objects to sync (such as Active Directory's Group memberships and Devices), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Active Directory and Elasticsearch: Read users and groups as ordinary tables; Keep group and role membership aligned; One profile, kept current. Users, groups, and their memberships from Active Directory land in Elasticsearch as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
-
Active Directory: 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. Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Stacksync manages authentication, retries, and rate limits on both sides.
-
Elasticsearch: Writes are addressed by document _id, so upserts map directly onto the index API, and the _bulk endpoint batches many operations in a single request. Active Directory: On-premises AD DS has no Graph API and syncs over LDAP/LDAPS using the DirSync control, which needs the DS-Replication-Get-Changes right on the partition. Stacksync's field mapping accounts for these differences between Active Directory and Elasticsearch without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Active Directory and Elasticsearch records are not retained after a sync operation.
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.
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:
Related integrations
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Elasticsearch ⇄ Okta -
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