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Database ⇄ Security and identity

Amazon DynamoDB to Azure Active Directory integration — real-time, two-way sync

Keep Amazon DynamoDB and Azure Active Directory 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 Amazon DynamoDB and Azure Active Directory

Close the gap between your application data and your directory: Amazon DynamoDB 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. Amazon DynamoDB 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 Items, Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams in Amazon DynamoDB with Applications, Service principals, Directory roles, Devices 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 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.
  • 02 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
  • 03 Sync manager, department, and jobTitle from an HRIS back onto Entra ID User attributes to keep dynamic groups and Conditional Access accurate.
  • 04 Replicate Groups and their Members into a Postgres warehouse for access reviews and entitlement reporting.

Common sync patterns

Provision accounts from the source of truth

When a person is added to the employee, member, or customer table in Amazon DynamoDB, 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 Amazon DynamoDB, 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 Amazon DynamoDB 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 Amazon DynamoDB and Azure Active Directory

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.

Amazon DynamoDB objects Azure Active Directory objects How this pairing syncs
Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Applications App registrations under /applications; usually read into a database or CMDB for app ownership and credential-expiry tracking. Time to Live (TTL) is specific to Amazon DynamoDB and Applications to Azure Active Directory — each maps to any object or custom field on the other side.
Tables Top-level containers, each with a partition key and optional sort key; Stacksync syncs a table as a stream of items with full read and write via PutItem, UpdateItem, and DeleteItem. Service principals /servicePrincipals (enterprise apps) plus appRoleAssignments; read for app inventory and access-posture reporting. Tables is specific to Amazon DynamoDB and Service principals to Azure Active Directory — each maps to any object or custom field on the other side.
Items Individual schemaless records (attributes up to 400 KB each); read with GetItem, Query, and Scan and written with PutItem or BatchWriteItem, so write is supported here. Directory roles /directoryRoles and roleManagement assignments; read for privileged-access reviews, with role-assignment writes where the granted scopes permit. Items is specific to Amazon DynamoDB and Directory roles to Azure Active Directory — each maps to any object or custom field on the other side.
Global secondary indexes (GSIs) Alternate key projections that let you Query by non-key attributes without a full table Scan; read-only views maintained automatically by DynamoDB. Devices /devices registered or joined to the tenant; typically read-only into asset and security databases. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Devices to Azure Active Directory — each maps to any object or custom field on the other side.
Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. 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. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Users to Azure Active Directory — each maps to any object or custom field on the other side.
DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. Groups /groups covering security and Microsoft 365 groups; created, updated, and deleted through Graph, and read into warehouses for entitlement reporting. DynamoDB Streams is specific to Amazon DynamoDB and Groups to Azure Active Directory — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and Azure Active Directory

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.

Amazon DynamoDB Azure Active Directory Sub-second propagation

DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.

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

Azure Active Directory Amazon DynamoDB 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 applied to Amazon DynamoDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon DynamoDB: Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
  • 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.
What ships with Amazon DynamoDB ⇄ Azure Active Directory

Connect Amazon DynamoDB and Azure Active Directory for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–Azure Active Directory connection.

Real-time

Two-way sync

Changes in Amazon DynamoDB or Azure Active Directory instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or Azure Active Directory 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 Amazon DynamoDB or Azure Active Directory record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ Azure Active Directory sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB and Azure Active Directory.

How the Amazon DynamoDB and Azure Active Directory connectors work

Amazon DynamoDB

Integration surface
AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture.
Authentication
AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level.
Change detection
DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks.
Capabilities
read · write · CDC
Rate limits
Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.

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
How it works

How to connect Amazon DynamoDB to Azure Active Directory — 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 Amazon DynamoDB and Azure Active Directory 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
    Amazon DynamoDB connected
    Azure Active Directory connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon DynamoDB and Azure Active Directory 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 · Amazon DynamoDB ⇄ Azure Active Directory
    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
    Amazon DynamoDB Azure Active Directory
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon DynamoDB and Azure Active Directory 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.

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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 536 integrations available for Amazon DynamoDB and Azure Active Directory.

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