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Database ⇄ Data warehouse

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

Keep Azure SQL Database and Materialize 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 Materialize

Connect Azure SQL Database and Materialize with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want Azure SQL Database's rows in Materialize, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Azure SQL Database where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in Azure SQL Database sync into Materialize in real time, and result tables in Materialize sync back into Azure SQL Database, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Read computed view results back into a CRM or application database as derived fields.
  • 02 Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.
  • 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

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

Offload heavy reads

Point analytical queries at the synced copy in Materialize and keep Azure SQL Database focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from Azure SQL Database land in Materialize as they change, replacing hand-built CDC and batch extract jobs.

What you can sync between Azure SQL Database and Materialize

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 Materialize objects How this pairing syncs
Tables The primary sync target; rows map one-to-one to records in the paired system. Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Change tracking / CDC tables System-maintained change records used to drive incremental sync. Sinks Outbound connections that emit view changes to Kafka topics. Change tracking / CDC tables is specific to Azure SQL Database and Sinks to Materialize — 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. Indexes In-memory arrangements that make view reads fast for serving workloads. Views is specific to Azure SQL Database and Indexes to Materialize — 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. Clusters Compute pools that isolate ingestion, view maintenance, and serving. Schemas is specific to Azure SQL Database and Clusters to Materialize — 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. Connections & Secrets Stored credentials and endpoints used by sources and sinks. Rows and columns is specific to Azure SQL Database and Connections & Secrets to Materialize — 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. Schemas & Databases Namespaces that organize objects a sync targets. Stored procedures is specific to Azure SQL Database and Schemas & Databases to Materialize — each maps to any object or custom field on the other side.

How changes propagate between Azure SQL Database and Materialize

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 Materialize 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 applied to Materialize as a row-level write, with types converted between the two schemas.

Materialize Azure SQL Database Sub-second propagation

DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.

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

What ships with Azure SQL Database ⇄ Materialize

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

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

Real-time

Two-way sync

Changes in Azure SQL Database or Materialize 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 Materialize 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 Materialize record.

Observability

Monitoring

Track your Azure SQL Database ⇄ Materialize 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 Materialize.

How the Azure SQL Database and Materialize 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

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC
How it works

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

    Choose tables

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

Azure SQL Database and Materialize 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
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 376 integrations available for Azure SQL Database and Materialize.

Popular · 4 of 376
All Azure SQL Database integrations All Materialize integrations Browse all integrations
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