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Database ⇄ CRM

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

Keep Azure SQL Database and Vitally 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 SQL Database and Vitally

Treat Vitally 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 Conversation, NPS Response, Custom Trait, Account from Vitally into Rows and columns, Stored procedures, Change tracking / CDC tables, Tables 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 Vitally 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

  • 01 Push billing and subscription changes from an ERP or billing system into Vitally to keep success playbooks accurate.
  • 02 Keep CS tasks and notes aligned between Vitally and ticketing or project tools.
  • 03 Consolidate data from several line-of-business apps into one Azure SQL database as an integration hub.
  • 04 Feed an Azure SQL operational database with orders and inventory from an ERP in near real time.

Common sync patterns

Trigger workflows from CRM changes

Field and stage updates in Vitally 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 Vitally 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 Vitally, giving go-to-market teams live product context.

What you can sync between Azure SQL Database and Vitally

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 Vitally objects How this pairing syncs
Rows and columns Standard relational records with typed columns; primary keys anchor upserts. Organization Parent organizations for hierarchical B2B account structures. Rows and columns is specific to Azure SQL Database and Organization to Vitally — each maps to any object or custom field on the other side.
Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. Task CS tasks and follow-ups, readable and writable for workflow sync. Stored procedures is specific to Azure SQL Database and Task to Vitally — each maps to any object or custom field on the other side.
Change tracking / CDC tables System-maintained change records used to drive incremental sync. Note Account and user notes captured by success teams. Change tracking / CDC tables is specific to Azure SQL Database and Note to Vitally — each maps to any object or custom field on the other side.
Tables The primary sync target; rows map one-to-one to records in the paired system. Conversation Customer conversations logged in Vitally; activity objects include parent object details in the payload. Tables is specific to Azure SQL Database and Conversation to Vitally — each maps to any object or custom field on the other side.
Views Read-only projections used when the sync should expose a curated shape rather than raw tables. NPS Response NPS survey responses for account-health reporting. Views is specific to Azure SQL Database and NPS Response to Vitally — each maps to any object or custom field on the other side.
Schemas Namespaces that organize tables and control which objects a sync user can reach. Custom Trait Custom account and user traits for segmentation. Schemas is specific to Azure SQL Database and Custom Trait to Vitally — each maps to any object or custom field on the other side.

How changes propagate between Azure SQL Database and Vitally

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.

Azure SQL Database Vitally Sub-second propagation

DetectionChanges in Azure SQL Database are captured at the source via change data capture — no polling loop against its API. Change data capture or change tracking, both supported on Azure SQL Database.

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

Vitally Azure SQL Database Sub-second propagation

DetectionVitally notifies Stacksync of record changes through webhook events. Incremental polling on updatedAt cursors.

DeliveryEach detected change is applied to Azure SQL Database as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Vitally: Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
What ships with Azure SQL Database ⇄ Vitally

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

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

Real-time

Two-way sync

Changes in Azure SQL Database or Vitally 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 Vitally 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 Vitally record.

Observability

Monitoring

Track your Azure SQL Database ⇄ Vitally 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 Vitally.

How the Azure SQL Database and Vitally 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

Vitally

Integration surface
REST API with cursor-based pagination (sortable by createdAt/updatedAt)
Authentication
API key via Basic Auth; keys created in Settings -> Integrations -> REST API and individually revocable
Change detection
Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates
Capabilities
read · write · webhooks
Rate limits
Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
How it works

How to connect Azure SQL Database to Vitally — 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 SQL Database and Vitally 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
    Vitally connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure SQL Database and Vitally 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 ⇄ Vitally
    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 SQL Database Vitally
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Azure SQL Database and Vitally 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 390 integrations available for Azure SQL Database and Vitally.

Popular · 8 of 390
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