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Database ⇄ Business productivity

AWS Aurora PostgreSQL to Front integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL 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

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Why teams connect AWS Aurora PostgreSQL and Front

Mirror Front's data into AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL.

Stacksync mirrors Accounts, Inboxes, Tags, Teammates from Front into Replication slots and publications, Databases and schemas, Tables, Rows in AWS Aurora PostgreSQL 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

  • Sync conversations, messages, and tags into Postgres for response-time and volume analytics across inboxes.
  • Write CRM account tier, owner, and renewal data into Front contact and account custom fields so it shows next to the conversation.
  • Sync JSONB-heavy application data into structured objects in downstream business systems.
  • Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.

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.

Read Front with a query

Records from Front are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.

Automate Front from your codebase

Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Front, replacing custom integration code.

What you can sync between AWS Aurora PostgreSQL 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.

AWS Aurora PostgreSQL objects Front objects
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Inboxes Shared queues that conversations live in; used to segment reporting by team or channel.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Tags Labels applied to conversations; drive routing and category-level analytics.
Replication slots and publications The logical replication objects that power log-based CDC. Teammates Agents; used for ownership mapping and workload reporting.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Channels Connected addresses (email, SMS, chat); define where messages originate and send from.
Tables The core sync unit; rows are matched across systems by primary key. Conversations The central threaded unit that messages, comments, and tags attach to; synced for support analytics.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Messages Inbound and outbound emails, chats, and SMS within a conversation; read out for response-time reporting.
What ships with AWS Aurora PostgreSQL ⇄ Front

Connect AWS Aurora PostgreSQL and Front for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Front connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Front instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Front record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Front sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Front.

How the AWS Aurora PostgreSQL and Front connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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
    AWS Aurora PostgreSQL connected
    Front connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL 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 · AWS Aurora PostgreSQL ⇄ 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
    AWS Aurora PostgreSQL Front
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and Front integration FAQ

SECURITY

Security teams love 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
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:

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 386 integrations available for AWS Aurora PostgreSQL and Front.

Popular · 8 of 386
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