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Business productivity ⇄ Database

Front to MySQL integration — real-time, two-way sync

Keep Front and MySQL 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 Front and MySQL

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

Replicating Front into MySQL gives teams an operational mirror of the shared inbox in the database their applications already use. Conversations, Messages, and Contacts become relational Tables with Primary and Unique Keys, and message payloads can land in JSON Columns for flexible querying.

Stacksync mirrors Accounts, Inboxes, Tags, Teammates from Front into Views, Columns, Primary and Unique Keys, JSON Columns in MySQL 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 Internal portals show a customer's Front Conversation history from a local MySQL read.
  • 02 SQL Views over Inboxes drive routing and staffing reports.
  • 03 Unique keys on synced Contacts prevent duplicate customer records across databases.
  • 04 Mirror conversations tagged for escalation into engineering trackers through the synced database.

Common sync patterns

Inbox replication

Front Conversations, Messages, and Comments sync into MySQL Tables as they change.

Contact tables for apps

Front Contacts and Accounts replicate into keyed Tables that internal systems join against.

Structured plus raw

Message metadata maps to Columns while full payloads are stored in JSON Columns.

What you can sync between Front and MySQL

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.

Front objects MySQL objects How this pairing syncs
Messages Inbound and outbound emails, chats, and SMS within a conversation; read out for response-time reporting. Views Read-side projections used as outbound sync sources. Messages is specific to Front and Views to MySQL — each maps to any object or custom field on the other side.
Comments Internal team notes on conversations; usually read-only in syncs. Columns Field-level mapping targets with engine-typed values. Comments is specific to Front and Columns to MySQL — each maps to any object or custom field on the other side.
Contacts People across channels; matched to CRM contacts, with custom fields carrying external context. Primary and Unique Keys Match keys for idempotent upserts and conflict handling. Contacts is specific to Front and Primary and Unique Keys to MySQL — each maps to any object or custom field on the other side.
Accounts Company groupings of contacts; kept aligned with CRM accounts. JSON Columns Validated semi-structured payloads for nested SaaS data. Accounts is specific to Front and JSON Columns to MySQL — each maps to any object or custom field on the other side.
Inboxes Shared queues that conversations live in; used to segment reporting by team or channel. Stored Procedures Server-side logic that can post-process synced rows. Inboxes is specific to Front and Stored Procedures to MySQL — each maps to any object or custom field on the other side.
Tags Labels applied to conversations; drive routing and category-level analytics. Triggers An alternative change-capture mechanism when binlog access is unavailable. Tags is specific to Front and Triggers to MySQL — each maps to any object or custom field on the other side.

How changes propagate between Front and MySQL

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.

Front MySQL 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 MySQL as a row-level write, with types converted between the two schemas.

MySQL Front Sub-second propagation

DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.

DeliveryEach detected change is written to Front through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Front: Request limits vary by plan.
  • MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with Front ⇄ MySQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Front or MySQL 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 Front or MySQL record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Front and MySQL.

How the Front and MySQL connectors work

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

MySQL

Integration surface
SQL wire protocol (MySQL client/server protocol)
Authentication
Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide
How it works

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

    Choose tables

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

Front and MySQL 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 529 integrations available for Front and MySQL.

Popular · 7 of 529
All Front integrations All MySQL integrations Browse all integrations
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