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Database ⇄ Business productivity

Azure SQL Database to BetterContact integration — real-time data sync

Keep Azure SQL Database and BetterContact 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Azure SQL Database and BetterContact

Mirror BetterContact's data into Azure SQL Database so your own code can read and write it like any other table, with changes flowing both ways in seconds.

BetterContact is a read-only source: Stacksync reads its data in real time and delivers it into Azure SQL Database, so Azure SQL Database always reflects the current state of BetterContact — without exports, scripts, or schedulers.

Engineers integrate with tools like BetterContact 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 Azure SQL Database.

Stacksync mirrors Lead Finder Search, Enrichment Request, Enriched Contact, Company from BetterContact into Stored procedures, Change tracking / CDC tables, Tables, Views in Azure SQL Database 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 BetterContact, so the tool and the database never disagree.

Common use cases

  • 01 Validate catch-all email addresses before sending to protect sender domain reputation.
  • 02 Enrich new CRM leads with verified emails and mobile numbers as they are created, writing results back to the CRM record.
  • 03 Expose SaaS data (billing, support tickets) as tables in Azure SQL for reporting teams already on Microsoft tooling.
  • 04 Replicate Azure SQL tables to a warehouse without building custom CDC pipelines.

Common sync patterns

Automate BetterContact from your codebase

Write to the synced tables in Azure SQL Database and Stacksync propagates the change into BetterContact, replacing custom integration code.

React to changes as they happen

Updates in BetterContact arrive as row changes in Azure SQL Database, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between Azure SQL Database and BetterContact

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 BetterContact objects How this pairing syncs
Schemas Namespaces that organize tables and control which objects a sync user can reach. Enriched Contact Verified work emails and mobile numbers with job title, LinkedIn profile, location, and skills. Schemas is specific to Azure SQL Database and Enriched Contact to BetterContact — each maps to any object or custom field on the other side.
Rows and columns Standard relational records with typed columns; primary keys anchor upserts. Company Company data returned with each contact: name, domain, HQ location, industry, employee count. Rows and columns is specific to Azure SQL Database and Company to BetterContact — 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. Lead Finder Search Prospect discovery by people and company filters, returning enriched lead profiles. Stored procedures is specific to Azure SQL Database and Lead Finder Search to BetterContact — 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. Enrichment Request Batch or single submissions of up to 100 contacts per request for waterfall enrichment. Change tracking / CDC tables is specific to Azure SQL Database and Enrichment Request to BetterContact — each maps to any object or custom field on the other side.

How changes propagate between Azure SQL Database and BetterContact

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 BetterContact 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.

DeliveryBetterContact does not accept inbound record writes, so this direction carries requests rather than records: BetterContact's output flows back as field updates on the originating Azure SQL Database records.

BetterContact Azure SQL Database Sub-second propagation

DetectionBetterContact notifies Stacksync of record changes through webhook events. Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint.

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

Rate-limit considerations

  • BetterContact: Batches capped at 100 contacts per enrichment request.
What ships with Azure SQL Database ⇄ BetterContact

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

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

Real-time

Real-time sync

Changes in Azure SQL Database or BetterContact 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 BetterContact 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 BetterContact record.

Observability

Monitoring

Track your Azure SQL Database ⇄ BetterContact 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 BetterContact.

How the Azure SQL Database and BetterContact 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

BetterContact

Integration surface
Asynchronous REST API: submit contacts, then receive results via webhook or fetch them from a results endpoint
Authentication
API key
Change detection
Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint; there is no persistent record store to watch
Capabilities
read · webhooks
Rate limits
Batches capped at 100 contacts per enrichment request.
How it works

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

    Choose tables

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

Azure SQL Database and BetterContact 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.

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 390 integrations available for Azure SQL Database and BetterContact.

Popular · 8 of 390
All Azure SQL Database integrations All BetterContact integrations Browse all integrations
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