Two-way sync
Changes in Front or MariaDB instantly reflect in both systems. No stale data, no manual imports.
Keep Front and MariaDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 MariaDB.
Stacksync mirrors Conversations, Messages, Comments, Contacts from Front into System-Versioned Tables, JSON Columns, Stored Procedures, Databases (Schemas) in MariaDB 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.
Updates in Front arrive as row changes in MariaDB, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Front are ordinary rows in MariaDB; join them, index them, and use them in application logic without touching the vendor API.
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 | MariaDB objects | |
|---|---|---|
| Inboxes Shared queues that conversations live in; used to segment reporting by team or channel. | Views Read-side projections used as outbound sync sources. | |
| Tags Labels applied to conversations; drive routing and category-level analytics. | Columns Field-level mapping targets with engine-typed values. | |
| Teammates Agents; used for ownership mapping and workload reporting. | Primary and Unique Keys Match keys for idempotent upserts. | |
| Channels Connected addresses (email, SMS, chat); define where messages originate and send from. | System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. | |
| Conversations The central threaded unit that messages, comments, and tags attach to; synced for support analytics. | JSON Columns Semi-structured payloads validated with JSON functions. | |
| Messages Inbound and outbound emails, chats, and SMS within a conversation; read out for response-time reporting. | Stored Procedures Server-side logic that can post-process synced rows. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Front–MariaDB connection.
Changes in Front or MariaDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Front or MariaDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Front or MariaDB record.
Track your Front ⇄ MariaDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Front and MariaDB.
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 Front and MariaDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Front and MariaDB 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Front and MariaDB: authenticate both systems, choose the objects to sync (such as Front's Inboxes and Tags), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Front and MariaDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Front–MariaDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Front and MariaDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Front: Application webhooks and rule-triggered webhooks, with the events endpoint available for polling. On MariaDB: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Front side: Conversations, Messages, Comments, Contacts, plus custom fields where Front exposes them. On the MariaDB side: System-Versioned Tables, JSON Columns, Stored Procedures, Databases (Schemas). Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Front and MariaDB.