Skip to content
Database ⇄ Business productivity

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

Keep Amazon DynamoDB and Front 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 Front

Mirror Front's data into Amazon DynamoDB so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Front through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Amazon DynamoDB.

Stacksync mirrors Channels, Conversations, Messages, Comments from Front into Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams, Global Tables in Amazon DynamoDB and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Front, so the tool and the database never disagree.

Common use cases

  • 01 Feed CSAT and SLA reporting from synced conversation events rather than manual exports.
  • 02 Sync conversations, messages, and tags into Postgres for response-time and volume analytics across inboxes.
  • 03 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
  • 04 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.

Common sync patterns

Automate Front from your codebase

Write to the synced tables in Amazon DynamoDB and Stacksync propagates the change into Front, replacing custom integration code.

React to changes as they happen

Updates in Front arrive as row changes in Amazon DynamoDB, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between Amazon DynamoDB and Front

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 Front objects How this pairing syncs
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. Teammates Agents; used for ownership mapping and workload reporting. Global Tables is specific to Amazon DynamoDB and Teammates to Front — 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. Channels Connected addresses (email, SMS, chat); define where messages originate and send from. Time to Live (TTL) is specific to Amazon DynamoDB and Channels to Front — 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. Conversations The central threaded unit that messages, comments, and tags attach to; synced for support analytics. Tables is specific to Amazon DynamoDB and Conversations to Front — 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. Messages Inbound and outbound emails, chats, and SMS within a conversation; read out for response-time reporting. Items is specific to Amazon DynamoDB and Messages to Front — 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. Comments Internal team notes on conversations; usually read-only in syncs. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Comments to Front — each maps to any object or custom field on the other side.
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. Contacts People across channels; matched to CRM contacts, with custom fields carrying external context. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Contacts to Front — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and Front

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

Front Amazon DynamoDB Sub-second propagation

DetectionFront notifies Stacksync of record changes through webhook events. Application webhooks and rule-triggered webhooks, with the events endpoint available for polling.

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.
  • Front: Request limits vary by plan.
What ships with Amazon DynamoDB ⇄ Front

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or Front 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 Front record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ Front 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 Front.

How the Amazon DynamoDB and Front 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.

Front

Integration surface
REST API (Core API)
Authentication
OAuth authorization via the Stacksync UI ("Connections" > "create new connection" > "Front" > "Authorize") — no coding required
Change detection
Application webhooks and rule-triggered webhooks, with the events endpoint available for polling
Capabilities
read · write · webhooks
Rate limits
Request limits vary by plan.
Front setup guide
How it works

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

    Choose tables

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

Amazon DynamoDB and Front 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 521 integrations available for Amazon DynamoDB and Front.

Popular · 7 of 521
Coworkers laughing in front of a laptop in a casual office setting

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