Real-time
Two-way sync
Changes in Azure Active Directory or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Azure Active Directory to Elasticsearch integration — real-time, two-way sync
Keep Azure 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Azure Active Directory and Elasticsearch
Close the gap between your application data and your directory: Elasticsearch and Azure Active Directory share users, groups, and access in real time, in both directions.
Azure 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 Directory roles, Devices, Users, Groups in Azure 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 Feed enriched customer records into an index used for vector or hybrid search in AI applications.
- 02 Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.
- 03 Mirror Applications and Service principals into a database or CMDB to track app ownership and credential expiry.
- 04 Reconcile Entra ID Users and assignedLicenses with an ITSM or finance database to audit license allocation and reclaim unused seats.
Common sync patterns
Provision accounts from the source of truth
When a person is added to the employee, member, or customer table in Elasticsearch, Stacksync creates the matching user in Azure Active Directory with the right attributes, so access starts from live data instead of a manual ticket.
Deprovision the moment the record changes
When someone is marked inactive or removed in Elasticsearch, the matching account in Azure Active Directory is disabled within seconds, closing the window between a departure and a login that still works.
Read users and groups as ordinary tables
Users, groups, and their memberships from Azure 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.
What you can sync between Azure 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.
| Azure Active Directory objects | Elasticsearch objects | How this pairing syncs | |
|---|---|---|---|
| Service principals /servicePrincipals (enterprise apps) plus appRoleAssignments; read for app inventory and access-posture reporting. | Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Service principals is specific to Azure Active Directory and Ingest pipelines to Elasticsearch — each maps to any object or custom field on the other side. | |
| Directory roles /directoryRoles and roleManagement assignments; read for privileged-access reviews, with role-assignment writes where the granted scopes permit. | Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Directory roles is specific to Azure Active Directory and Index templates to Elasticsearch — each maps to any object or custom field on the other side. | |
| Devices /devices registered or joined to the tenant; typically read-only into asset and security databases. | Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Devices is specific to Azure Active Directory and Indices to Elasticsearch — each maps to any object or custom field on the other side. | |
| Users /users in Microsoft Graph; synced two-way — profile attributes, accountEnabled, and assignedLicenses are read out while provisioning writes (create, update, disable, delete) are pushed back. | Documents The unit of sync; JSON records created, updated, and deleted by _id. | Users is specific to Azure Active Directory and Documents to Elasticsearch — each maps to any object or custom field on the other side. | |
| Groups /groups covering security and Microsoft 365 groups; created, updated, and deleted through Graph, and read into warehouses for entitlement reporting. | Index mappings Field type definitions that determine how synced fields are indexed and queried. | Groups is specific to Azure Active Directory and Index mappings to Elasticsearch — each maps to any object or custom field on the other side. | |
| Group memberships Member and owner relationships on /groups/{id}/members; added and removed via the $ref endpoint and tracked for changes with delta query on $select=members. | Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Group memberships is specific to Azure Active Directory and Aliases to Elasticsearch — each maps to any object or custom field on the other side. |
How changes propagate between Azure 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.
Azure Active Directory Elasticsearch Sub-second propagation
DetectionAzure Active Directory notifies Stacksync of record changes through webhook events. Microsoft Graph delta query (deltaLink tokens returning only changed users and groups, with @removed deletions) paired with change-notification.
DeliveryEach detected change is written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Elasticsearch Azure 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 Azure Active Directory through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Azure Active Directory: Resource-unit throttling: roughly 8,000 ResourceUnits per 10 seconds per app for reads on tenants over 500 users, writes near 3,000 requests per 2.5 minutes; 429 responses include a Retry-After header.
- Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
What ships with Azure Active Directory ⇄ Elasticsearch
Connect Azure Active Directory and Elasticsearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Active Directory–Elasticsearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure 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 Azure Active Directory or Elasticsearch record.
Observability
Monitoring
Track your Azure 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 Azure Active Directory and Elasticsearch.
How the Azure Active Directory and Elasticsearch connectors work
Azure Active Directory
- Integration surface
- Microsoft Graph REST API (v1.0)
- Authentication
- OAuth 2.0 via the Microsoft identity platform using an Entra ID app registration; app-only (client credentials) or delegated flows, with directory scopes such as User.ReadWrite.All and Group.ReadWrite.All requiring tenant admin consent
- Change detection
- Microsoft Graph delta query (deltaLink tokens returning only changed users and groups, with @removed deletions) paired with change-notification webhook subscriptions for near-real-time push
- Capabilities
- read · write · webhooks
- Rate limits
- Resource-unit throttling: roughly 8,000 ResourceUnits per 10 seconds per app for reads on tenants over 500 users, writes near 3,000 requests per 2.5 minutes; 429 responses include a Retry-After header
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 Azure 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 Azure 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.
Azure Active Directory
connected
Elasticsearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure 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 · Azure 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.
Azure Active Directory ElasticsearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Active Directory and Elasticsearch integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure Active Directory and Elasticsearch: authenticate both systems, choose the objects to sync (such as Azure Active Directory's Service principals and Directory roles), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Active Directory and Elasticsearch connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Active Directory–Elasticsearch integration in-house.
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Yes — Stacksync ships production-grade connectors for both Azure Active Directory and Elasticsearch. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Azure Active Directory: Microsoft Graph delta query (deltaLink tokens returning only changed users and groups, with @removed deletions) paired with change-notification webhook subscriptions for near-real-time push. On Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Elasticsearch side: Ingest pipelines, Index templates, Indices, Documents, plus custom fields where Elasticsearch exposes them. On the Azure Active Directory side: Directory roles, Devices, Users, Groups. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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
Every pair below is a real-time, two-way sync. Search all 518 integrations available for Azure Active Directory and Elasticsearch.
Popular · 8 of 518
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Azure Active Directory ⇄ Google AlloyDB -
Azure Active Directory ⇄ Dynamo DB -
Azure Active Directory ⇄ IBM Db2 -
Azure Active Directory ⇄ Firebase -
Elasticsearch ⇄ Auth0 -
Elasticsearch ⇄ Jumpcloud - Elasticsearch ⇄ Active Directory
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Elasticsearch ⇄ Okta
No integrations match .
