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Security and identity ⇄ Database

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

Keep Active Directory and Amazon DynamoDB 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 Active Directory and Amazon DynamoDB

Close the gap between your application data and your directory: Amazon DynamoDB 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. 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 Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams, Global Tables in Amazon DynamoDB with Group memberships, Devices, Directory roles, Service principals & applications 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 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 Two-way sync Users and Groups between Microsoft Entra ID and an HRIS or Postgres so joiners, movers, and leavers provision and deprovision automatically.
  • 04 Read Users, Groups, and directoryRole assignments into a warehouse for periodic access reviews and SOC 2 audit evidence.

Common sync patterns

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.

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 Active Directory with the right attributes, so access starts from live data instead of a manual ticket.

What you can sync between Active Directory and Amazon DynamoDB

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 Amazon DynamoDB objects How this pairing syncs
Organizational units On-prem AD DS containers (LDAP organizationalUnit) used to scope which users and groups a sync includes. Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Organizational units is specific to Active Directory and Time to Live (TTL) to Amazon DynamoDB — 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. 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. Organizational contacts is specific to Active Directory and Tables to Amazon DynamoDB — 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. 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. Users is specific to Active Directory and Items to Amazon DynamoDB — each maps to any object or custom field on the other side.
Groups Security and Microsoft 365 groups; synced two-way including name, type, and owner, with membership tracked separately. 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. Groups is specific to Active Directory and Global secondary indexes (GSIs) to Amazon DynamoDB — each maps to any object or custom field on the other side.
Group memberships Member and owner links between users and groups; membership add/remove changes are surfaced by delta query. 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. Group memberships is specific to Active Directory and Local secondary indexes (LSIs) to Amazon DynamoDB — 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. 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. Devices is specific to Active Directory and DynamoDB Streams to Amazon DynamoDB — each maps to any object or custom field on the other side.

How changes propagate between Active Directory and Amazon DynamoDB

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 Amazon DynamoDB 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 Amazon DynamoDB as a row-level write, with types converted between the two schemas.

Amazon DynamoDB 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 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.
  • 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.
What ships with Active Directory ⇄ Amazon DynamoDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

Track your Active Directory ⇄ Amazon DynamoDB 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 Amazon DynamoDB.

How the Active Directory and Amazon DynamoDB 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.

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.
How it works

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

    Choose tables

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

Active Directory and Amazon DynamoDB 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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ISO 27001
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DPF US-EU-UK-CH
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SSO & SCIM

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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:

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