Can you integrate Azure SQL Database with Gladly?

Yes. Stacksync provides a managed, real-time two-way integration between Azure SQL Database and Gladly: authenticate both systems, choose the objects to sync (such as Azure SQL Database's Change tracking / CDC tables and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.

Which Azure SQL Database objects can I sync with Gladly?

On the Gladly side: Conversations, Conversation items, Agents, Topics, plus custom fields where Gladly exposes them. On the Azure SQL Database side: Stored procedures, Change tracking / CDC tables, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.

Can the Azure SQL Database–Gladly sync run one-way instead of two-way?

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.

How do teams use the Azure SQL Database and Gladly integration?

Common patterns for Azure SQL Database and Gladly: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in Gladly arrive as row changes in Azure SQL Database, ready to drive jobs and notifications.

What should I know about the two APIs?

Azure SQL Database: SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers. Authentication: SQL authentication (database credentials) or Microsoft Entra ID authentication. Gladly: REST API. Authentication: API tokens used with basic authentication tied to an agent email. Stacksync manages authentication, retries, and rate limits on both sides.

What makes Gladly's data model different?

Gladly: Gladly's model is customer-centric rather than ticket-centric: each customer has one continuous conversation timeline, and channel interactions attach as conversation items. Azure SQL Database: Both change tracking (net changes per row) and change data capture (full change history from the transaction log) are available, giving two native options for incremental sync. Stacksync's field mapping accounts for these differences between Azure SQL Database and Gladly without custom code.

Database ⇄ CRM

Azure SQL Database to Gladly integration — real-time, two-way sync

Keep Azure SQL Database and Gladly in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Azure SQL Database and Gladly

Treat Gladly like part of your database: its records live in Azure SQL Database 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 Azure SQL Database, where it can be queried and joined like everything else.

Stacksync mirrors Conversations, Conversation items, Agents, Topics from Gladly into Stored procedures, Change tracking / CDC tables, Tables, Views in Azure SQL Database 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

Keep customer attributes such as loyalty tier and lifetime value synced from a warehouse into Gladly profiles for routing and prioritization.
Push conversation outcomes into a CRM so account teams see support context on their accounts.
Expose SaaS data (billing, support tickets) as tables in Azure SQL for reporting teams already on Microsoft tooling.
Replicate Azure SQL tables to a warehouse without building custom CDC pipelines.

Trigger workflows from CRM changes

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

Query the CRM like a database

Accounts, contacts, and custom objects from Gladly become tables in Azure SQL Database you can join with application data directly.

Product events onto CRM records

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

What you can sync between Azure SQL Database and Gladly

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.

Azure SQL Database objects		Gladly objects
Change tracking / CDC tables System-maintained change records used to drive incremental sync.	⇄	Tasks Follow-up work items created from external triggers or synced for workload reporting.
Tables The primary sync target; rows map one-to-one to records in the paired system.	⇄	Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching.
Views Read-only projections used when the sync should expose a curated shape rather than raw tables.	⇄	Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses.
Schemas Namespaces that organize tables and control which objects a sync user can reach.	⇄	Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation.
Rows and columns Standard relational records with typed columns; primary keys anchor upserts.	⇄	Agents User records used to attribute work in CX analytics.
Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts.	⇄	Topics Categorization applied to conversations; the key dimension for contact-driver reporting.

What ships with Azure SQL Database ⇄ Gladly

Connect Azure SQL Database and Gladly for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure SQL Database or Gladly 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 Azure SQL Database or Gladly record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure SQL Database and Gladly.

How the Azure SQL Database and Gladly connectors work

Azure SQL Database

Integration surface: SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers
Authentication: SQL authentication (database credentials) or Microsoft Entra ID authentication
Change detection: Change data capture or change tracking, both supported on Azure SQL Database; polling as a fallback
Capabilities: read · write · CDC

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

How it works

How to connect Azure SQL Database to Gladly — 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.

01
Connect your apps

Authenticate Azure SQL Database and Gladly 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
Azure SQL Database connected
Gladly connected

OAuth 2.0
SSH tunnel
SSL certificate
VPC peering
02
Choose tables

Pick the Azure SQL Database and Gladly 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 · Azure SQL Database ⇄ Gladly

Customers 12,480
Sales Orders 8,213
Invoices 5,902
Items 1,344
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
Azure SQL Database Gladly

Company company_name text
Email email text
Amount amount numeric
Created created_at timestamp

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FAQ

Azure SQL Database and Gladly integration FAQ

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Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

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Related integrations

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Azure SQL Database to Gladly integration — real-time, two-way sync

Adopted by fast-scaling companies moving mission-critical data in real time