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Database

Connect Amazon DynamoDB to any app with two-way sync.

Two-way sync Amazon DynamoDB across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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

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Object catalog

What Stacksync syncs in Amazon DynamoDB.

These objects sync between Amazon DynamoDB and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Amazon DynamoDB exposes them.

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.
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.
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.
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.
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.
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.
Time to Live (TTL)
Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion.
API surface

How Stacksync connects to Amazon DynamoDB.

The connector runs on Amazon DynamoDB's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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.
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.

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Supported
  • Webhooks Not available
What ships with Amazon DynamoDB

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

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

Real-time

Two-way sync

Changes in Amazon DynamoDB instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever 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 Amazon DynamoDB record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Amazon DynamoDB connector.

Amazon DynamoDB is the fully managed, serverless NoSQL database backend and platform teams run high-traffic application workloads on - user profiles, sessions, carts, event and IoT data, gaming state. It is owned by backend, platform, and DevOps engineers who need single-digit-millisecond access at scale. Unlike a SaaS app, it is a true system of record with full CRUD, so teams sync tables both ways: exporting items to a warehouse or relational store for analytics and joins, and writing records back from other systems, with DynamoDB Streams providing near-real-time change capture.

  • Backend / platform engineers
  • Data engineers
  • DevOps / SRE
  • Application developers
  • Analytics & BI teams
  1. Two-way sync a DynamoDB table with a Postgres or SQL Server table so an operational NoSQL store is queryable in SQL and edits on either side flow back.

  2. Replicate DynamoDB items into Snowflake, BigQuery, or Redshift for analytics and BI without adding read load to production tables.

  3. 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.

  4. Keep a DynamoDB table and a SaaS system of record such as Salesforce in sync bidirectionally so application data and CRM records stay aligned.

  5. Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.

  6. Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.

All Amazon DynamoDB integrations

Pick the system you need to keep in sync with Amazon DynamoDB. Each page covers the sync setup, field mapping, and common workflows for that pair.

Database · 48

How it works

Set up Amazon DynamoDB in minutes, without APIs.

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 with its 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
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon DynamoDB objects to sync — Stacksync auto-detects the schema, 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
    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 database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp

FAQ

Amazon DynamoDB connector FAQ

What can I sync with the Amazon DynamoDB connector?

Amazon DynamoDB's core objects — Tables, Items, Global secondary indexes (GSIs), Local secondary indexes (LSIs) and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to Amazon DynamoDB?

Via 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., authenticated with 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.. Changes are detected as follows — 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.. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Amazon DynamoDB connector two-way?

Yes. Changes made in Amazon DynamoDB propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does an Amazon DynamoDB integration take to set up?

Most Amazon DynamoDB integrations go live in minutes: authenticate Amazon DynamoDB and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Amazon DynamoDB data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Amazon DynamoDB data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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
CSA STAR
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:

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