Two-way sync
Changes in Amazon DynamoDB instantly reflect across connected systems. No stale data, no manual imports.
Two-way sync Amazon DynamoDB across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every connection.
Changes in Amazon DynamoDB instantly reflect across connected systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon DynamoDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon DynamoDB record.
Track your Amazon DynamoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions.
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.
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.
Replicate DynamoDB items into Snowflake, BigQuery, or Redshift for analytics and BI without adding read load to production tables.
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.
Keep a DynamoDB table and a SaaS system of record such as Salesforce in sync bidirectionally so application data and CRM records stay aligned.
Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.
Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
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.
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.
Authenticate Amazon DynamoDB with its native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
FAQ
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.
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.
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.
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.
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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with: