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Database ⇄ CRM

Azure Cosmos DB to Gladly integration — real-time, two-way sync

Keep Azure Cosmos DB 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.

  • 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 Azure Cosmos DB and Gladly

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

Stacksync mirrors Customer profiles, Conversations, Conversation items, Agents from Gladly into Stored procedures and triggers, Databases, Containers, Items (JSON documents) in Azure Cosmos DB 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

  • Mirror conversations and topics into a warehouse for CX analytics and staffing models.
  • Keep customer attributes such as loyalty tier and lifetime value synced from a warehouse into Gladly profiles for routing and prioritization.
  • Stream operational documents from Cosmos DB into a SQL warehouse via the change feed for analytics without hitting request-unit budgets with full scans.
  • Sync CRM or ERP records into a Cosmos DB container that backs a customer-facing application.

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 Azure Cosmos DB, ready to drive jobs and notifications.

Query the CRM like a database

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

What you can sync between Azure Cosmos DB 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 Cosmos DB objects Gladly objects
Containers The unit of partitioning and throughput; each container maps to a synced collection. Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching.
Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses.
Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation.
Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. Agents User records used to attribute work in CX analytics.
Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. Topics Categorization applied to conversations; the key dimension for contact-driver reporting.
Databases Top-level namespaces that scope containers and throughput provisioning. Tasks Follow-up work items created from external triggers or synced for workload reporting.
What ships with Azure Cosmos DB ⇄ Gladly

Connect Azure Cosmos DB and Gladly for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure Cosmos DB 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 Cosmos DB or Gladly record.

Observability

Monitoring

Track your Azure Cosmos DB ⇄ 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 Cosmos DB and Gladly.

How the Azure Cosmos DB and Gladly connectors work

Azure Cosmos DB

Integration surface
REST API and SDKs over HTTPS (API for NoSQL, formerly the SQL API); also MongoDB, Cassandra, Gremlin, and Table API surfaces
Authentication
Account keys, resource tokens, or Microsoft Entra ID role-based access
Change detection
Built-in change feed exposing inserts and updates in order within each partition key range
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 Cosmos DB 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.

  1. 01

    Connect your apps

    Authenticate Azure Cosmos DB 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 Cosmos DB connected
    Gladly connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure Cosmos DB 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 Cosmos DB ⇄ Gladly
    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
    Azure Cosmos DB Gladly
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure Cosmos DB and Gladly 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 Azure Cosmos DB and Gladly.

Popular · 8 of 386
All Azure Cosmos DB integrations All Gladly integrations Browse all integrations
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