Skip to content
CRM ⇄ Database

Gladly to MariaDB integration — real-time, two-way sync

Keep Gladly 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.

  • 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 Gladly and MariaDB

Treat Gladly like part of your database: its records live in MariaDB as real tables, and writes in either place sync to the other in seconds.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in MariaDB, where it can be queried and joined like everything else.

Stacksync mirrors Tasks, Customer profiles, Conversations, Conversation items from Gladly into Columns, Primary and Unique Keys, System-Versioned Tables, JSON Columns in MariaDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Gladly with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • Push conversation outcomes into a CRM so account teams see support context on their accounts.
  • Sync Gladly customer profiles with an order database so agents see purchase history and profile updates flow back.
  • Keep several MariaDB instances aligned with one system of record across environments
  • Two-way sync between a MariaDB application database and a CRM so both systems hold the same customer records

Product events onto CRM records

Signup, usage, or lifecycle changes written to MariaDB sync onto the matching records in Gladly, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Gladly API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in Gladly arrive as row changes in MariaDB, ready to drive jobs and notifications.

What you can sync between Gladly and MariaDB

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.

Gladly objects MariaDB objects
Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. JSON Columns Semi-structured payloads validated with JSON functions.
Agents User records used to attribute work in CX analytics. Stored Procedures Server-side logic that can post-process synced rows.
Topics Categorization applied to conversations; the key dimension for contact-driver reporting. Databases (Schemas) Top-level namespaces that scope a sync's reads and writes.
Tasks Follow-up work items created from external triggers or synced for workload reporting. Tables The primary sync target; rows map to records in connected systems.
Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. Views Read-side projections used as outbound sync sources.
Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. Columns Field-level mapping targets with engine-typed values.
What ships with Gladly ⇄ MariaDB

Connect Gladly and MariaDB for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Gladly or MariaDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Gladly or MariaDB 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 Gladly or MariaDB record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Gladly and MariaDB.

How the Gladly and MariaDB connectors work

Gladly

Integration surface
REST API
Authentication
API tokens used with basic authentication tied to an agent email
Change detection
Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits

MariaDB

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

How to connect Gladly to MariaDB — 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 Gladly 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Gladly connected
    MariaDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Gladly 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Gladly ⇄ MariaDB
    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
    Gladly MariaDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Gladly and MariaDB 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 Gladly and MariaDB.

Popular · 8 of 386
All Gladly integrations All MariaDB integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

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

Book a demo Tour the platform on your own