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Database ⇄ Developer tools

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

Keep Amazon DynamoDB and Ldap 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 Ldap

Keep Amazon DynamoDB and Ldap in step: the rows in your database and the Entries, Person entries (inetOrgPerson / user), Groups (groupOfNames / posixGroup), Organizational units (ou) your engineering tools track stay consistent in real time, in both directions.

Amazon DynamoDB is where your application's durable data lives; Ldap is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.

Stacksync syncs DynamoDB Streams, Global Tables, Time to Live (TTL), Tables in Amazon DynamoDB with Entries, Person entries (inetOrgPerson / user), Groups (groupOfNames / posixGroup), Organizational units (ou) in Ldap field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.

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 Keep group member and uniqueMember attributes aligned with application entitlement tables so directory access reflects the right teams as they change.
  • 04 Two-way sync person and group entries between an LDAP directory (OpenLDAP or AD DS) and an HRIS or Postgres so joiners, movers, and leavers provision and deprovision automatically.

Common sync patterns

Turn rows into the records your tools track

A new or changed row in Amazon DynamoDB creates or updates the matching record in Ldap, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.

Land tool activity as queryable rows

Records and events from Ldap arrive in Amazon DynamoDB as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.

One integration pattern instead of per-tool API code

Read and write the synced tables in Amazon DynamoDB and Stacksync keeps Ldap current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.

What you can sync between Amazon DynamoDB and Ldap

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 Ldap objects How this pairing syncs
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. Operational attributes Server-maintained metadata such as modifyTimestamp, createTimestamp, entryUUID, entryCSN, and uSNChanged; read to drive incremental polling and to key entries stably across syncs. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Operational attributes to Ldap — 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. Schema (subschema subentry) The objectClass and attribute-type definitions the server exposes; read to validate that written attributes exist and are single- or multi-valued as expected. DynamoDB Streams is specific to Amazon DynamoDB and Schema (subschema subentry) to Ldap — each maps to any object or custom field on the other side.
Global Tables Multi-region, active-active replicas of a table kept in sync by DynamoDB; each region is read and written locally with last-writer-wins conflict resolution. Entries The fundamental unit of an LDAP directory, each addressed by a distinguished name (DN) and typed by its objectClass; synced two-way as records, with the DN driving upserts and attribute-level updates. Global Tables is specific to Amazon DynamoDB and Entries to Ldap — each maps to any object or custom field on the other side.
Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Person entries (inetOrgPerson / user) People held under objectClasses such as inetOrgPerson, person, or Active Directory user; synced two-way to create accounts and update attributes like mail, cn, and telephoneNumber. Time to Live (TTL) is specific to Amazon DynamoDB and Person entries (inetOrgPerson / user) to Ldap — 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. Groups (groupOfNames / posixGroup) Group entries whose member or uniqueMember attributes list DNs; synced two-way to add and remove membership as teams and entitlements change. Tables is specific to Amazon DynamoDB and Groups (groupOfNames / posixGroup) to Ldap — 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. Organizational units (ou) Container entries that structure the DIT and scope which subtree a sync reads or writes; used to limit a sync to a branch such as ou=People,dc=corp,dc=com. Items is specific to Amazon DynamoDB and Organizational units (ou) to Ldap — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and Ldap

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 Ldap 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 Ldap through its API, with automatic retries and rate-limit backoff.

Ldap Amazon DynamoDB Interval-based propagation

DetectionStacksync polls Ldap for changes on an incremental schedule, reading only records changed since the previous pass. No universal native change feed.

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.
  • Ldap: LDAP defines no request quota; throughput is bounded by the server's sizelimit and timelimit administrative limits, connection and thread caps, and the CPU/IO it shares with live authentication traffic, so large syncs can contend with production lookups and must page results.
What ships with Amazon DynamoDB ⇄ Ldap

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or Ldap 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 Ldap record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ Ldap 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 Ldap.

How the Amazon DynamoDB and Ldap 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.

Ldap

Integration surface
LDAPv3 protocol (RFC 4511) over TCP, typically LDAPS on port 636 or StartTLS on 389; reaches any LDAPv3 directory server - OpenLDAP, Microsoft Active Directory, 389 Directory Server, Oracle Unified Directory, PingDS/ForgeRock, NetIQ eDirectory, Apache Directory.
Authentication
A bind DN and password (simple bind), typically over TLS, using a service account with rights to the target subtree. SASL mechanisms - GSSAPI/Kerberos, DIGEST-MD5, or EXTERNAL with a client certificate - are available where the server supports them.
Change detection
No universal native change feed. Incremental sync polls the modifyTimestamp operational attribute (or entryCSN / uSNChanged on servers that expose them) for entries changed since the last cursor; detecting deletes needs a server changelog or tombstones because a plain search cannot see removed entries. Some servers add Persistent Search or RFC 4533 content-sync (syncrepl), but that support is server-specific. No webhooks.
Capabilities
read · write
Rate limits
LDAP defines no request quota; throughput is bounded by the server's sizelimit and timelimit administrative limits, connection and thread caps, and the CPU/IO it shares with live authentication traffic, so large syncs can contend with production lookups and must page results.
How it works

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

    Choose tables

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

Amazon DynamoDB and Ldap 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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 417 integrations available for Amazon DynamoDB and Ldap.

Popular · 8 of 417
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