Skip to content
Database ⇄ Developer tools

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

Keep Amazon DynamoDB and Rabbitmq 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon DynamoDB and Rabbitmq

Keep Amazon DynamoDB and Rabbitmq in step: the rows in your database and the Connections and Channels, Users and Permissions, Nodes, Queues your engineering tools track stay consistent in real time, in both directions.

Amazon DynamoDB is where your application's durable data lives; Rabbitmq 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 Tables, Items, Global secondary indexes (GSIs), Local secondary indexes (LSIs) in Amazon DynamoDB with Connections and Channels, Users and Permissions, Nodes, Queues in Rabbitmq 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 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
  • 02 Use DynamoDB Streams as a change-data-capture source to push item INSERT, MODIFY, and REMOVE events into a CRM, search index, or operational database in near-real-time.
  • 03 Fan a single event out to multiple systems by binding several Queues to a fanout Exchange, each feeding a different Stacksync sync.
  • 04 Route Messages by routing key through a topic Exchange so only Bindings matching a pattern (e.g. region or entity type) trigger a sync.

Common sync patterns

React to changes on either side in near real time

Updates in Rabbitmq arrive as row changes in Amazon DynamoDB, and writes to Amazon DynamoDB propagate to Rabbitmq within seconds, so triggers, jobs, and alerts fire without polling.

Where Rabbitmq manages users or groups: keep identity aligned

Directory and identity records in Rabbitmq stay matched to the users or owners table in Amazon DynamoDB, so provisioning and de-provisioning flow from one source.

Turn rows into the records your tools track

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

What you can sync between Amazon DynamoDB and Rabbitmq

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 Rabbitmq objects How this pairing syncs
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. Users and Permissions Auth principals and per-vhost configure/write/read access rules; managed over the HTTP API, usually read-only in a data sync. DynamoDB Streams is specific to Amazon DynamoDB and Users and Permissions to Rabbitmq — 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. Nodes Cluster members exposing health, memory, and disk metrics via the Management HTTP API; read-only, used for monitoring alongside a sync. Global Tables is specific to Amazon DynamoDB and Nodes to Rabbitmq — 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. Queues Buffers that store and forward messages; Stacksync consumes from a queue as a source and can declare or write to one as a destination. Time to Live (TTL) is specific to Amazon DynamoDB and Queues to Rabbitmq — 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. Exchanges Routing entry points (direct, fanout, topic, headers); Stacksync publishes messages to an exchange, which forwards copies to bound queues. Tables is specific to Amazon DynamoDB and Exchanges to Rabbitmq — 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. Bindings Rules linking an exchange to a queue by routing key or pattern; they determine which messages reach which queue and can be declared during setup. Items is specific to Amazon DynamoDB and Bindings to Rabbitmq — 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. Messages The payload plus headers and properties; consumed (read) via basic.consume and published (write) via basic.publish, then mapped to rows or records. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Messages to Rabbitmq — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and Rabbitmq

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

Rabbitmq Amazon DynamoDB Interval-based propagation

DetectionStacksync polls Rabbitmq for changes on an incremental schedule, reading only records changed since the previous pass. Push delivery — a consumer subscribes to a queue (AMQP basic.consume) and RabbitMQ pushes each enqueued message down the open AMQP connection in real.

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.
  • Rabbitmq: No fixed API request quota; the broker applies TCP back-pressure (flow control), per-consumer prefetch (QoS) limits, and blocks publishers when memory or disk alarms trip.
What ships with Amazon DynamoDB ⇄ Rabbitmq

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or Rabbitmq 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 Rabbitmq record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ Rabbitmq 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 Rabbitmq.

How the Amazon DynamoDB and Rabbitmq 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.

Rabbitmq

Integration surface
AMQP 0-9-1 for publish/consume (AMQP 1.0 is native in RabbitMQ 4.0+; MQTT and STOMP via plugins) plus the Management HTTP REST API on port 15672
Authentication
AMQP username/password (SASL PLAIN) over TLS, plus x509 client certificates and OAuth 2.0 (JWT) via auth-backend plugins; the Management HTTP API uses HTTP Basic auth, or Bearer tokens when OAuth 2.0 is enabled
Change detection
Push delivery — a consumer subscribes to a queue (AMQP basic.consume) and RabbitMQ pushes each enqueued message down the open AMQP connection in real time; there is no modified-date polling, and the Management HTTP API is stats-only and poll-based
Capabilities
read · write
Rate limits
No fixed API request quota; the broker applies TCP back-pressure (flow control), per-consumer prefetch (QoS) limits, and blocks publishers when memory or disk alarms trip.
How it works

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

    Choose tables

    Pick the Amazon DynamoDB and Rabbitmq 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 ⇄ Rabbitmq
    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 Rabbitmq
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Amazon DynamoDB and Rabbitmq 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.

Learn more about security
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:

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 417 integrations available for Amazon DynamoDB and Rabbitmq.

Popular · 8 of 417
All Amazon DynamoDB integrations All Rabbitmq integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own