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AI

Connect Azure OpenAI to any app with real-time data sync.

Sync Azure OpenAI across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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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Object catalog

What Stacksync syncs in Azure OpenAI.

These objects are read from Azure OpenAI in real time and delivered into your connected systems, with field-level mapping. Custom fields are picked up from the live schema where Azure OpenAI exposes them.

Deployments
Named model deployments (model, version, SKU, assigned TPM capacity) read as a control-plane inventory via Azure Resource Manager; read-only in sync.
Models
Catalog of base and fine-tunable models available per region; read-only reference data used to resolve deployment and fine-tuning targets.
Fine-tuning jobs
Training jobs with status, base model, hyperparameters, and result files; status is polled from queued through succeeded or failed.
Files
Uploaded training, validation, and batch-input files plus generated output files; listed and read by ID, not written back in sync.
Batch jobs
Asynchronous bulk-inference jobs; status and output-file IDs are polled to completion to drive downstream pipeline triggers.
Usage and quota
Per-deployment TPM/RPM consumption and remaining quota, read from usage endpoints and Azure Monitor for cost and throttling reporting.
Assistants
Persistent assistants (preview) with instructions, tools, and linked files; read as configuration inventory, not authored via sync.
Vector stores
File collections (preview) backing file-search retrieval; read as metadata such as name, file counts, and status.
API surface

How Stacksync connects to Azure OpenAI.

The connector runs on Azure OpenAI's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
REST data-plane (inference + authoring) and Azure Resource Manager control-plane
Authentication
API key in the api-key header, or a Microsoft Entra ID bearer token / managed identity
Change detection
Polling: list endpoints plus GET on job IDs for status; no webhooks or change feed. Fine-tuning and batch jobs expose queued/running/succeeded states.
Rate limits
Per-deployment TPM and RPM limits (about 6 RPM per 1000 TPM), scoped by region and subscription; control-plane ARM calls throttle separately.

Sync directions

  • Read Supported
  • Write Not available
  • Change data capture Not available
  • Webhooks Not available
What ships with Azure OpenAI

Connect Azure OpenAI for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every connection.

Real-time

Real-time sync

Changes in Azure OpenAI flow into your connected systems in real time. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure OpenAI 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 OpenAI record.

Observability

Monitoring

Track your Azure OpenAI sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Azure OpenAI connector.

Azure OpenAI Service is owned by platform, ML, and cloud engineering teams who run OpenAI models (GPT, embeddings, DALL-E, Whisper) inside an Azure subscription under Entra ID and network governance. It is an inference and model-ops service, not a business system of record: the durable objects are model Deployments, Fine-tuning jobs with their training Files, Batch jobs, and per-deployment TPM/RPM usage. Teams pull that metadata out for cost governance, capacity planning, and MLOps dashboards rather than writing business records in.

  • Platform engineering
  • MLOps / ML engineers
  • Cloud FinOps
  • AI platform leads

  1. Sync the Deployments inventory (model, version, TPM capacity) into Postgres so platform teams track every Azure OpenAI deployment across subscriptions in SQL.

  2. Land Fine-tuning jobs with their status, base model, and result Files in a warehouse to power MLOps dashboards without per-viewer API calls.

  3. Poll Batch jobs into an operational database and fire the next pipeline step when a job's status turns to completed.

  4. Pull per-deployment TPM/RPM usage into a warehouse for FinOps chargeback and quota-exhaustion alerting.

  5. Mirror Assistants and Vector stores configuration into a database as an auditable inventory of retrieval assets and their linked files.

  6. One-way sync of Azure OpenAI Deployments (model, version, and assigned TPM quota) into a Postgres or warehouse table, giving FinOps and platform teams a live inventory of every deployment across subscriptions for capacity planning and rate-limit review.

All Azure OpenAI integrations

Pick the system you need to keep in sync with Azure OpenAI. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 41

ERP · 37

Database · 50

Data warehouse · 28

Business productivity · 37

How it works

Set up Azure OpenAI in minutes, without APIs.

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 OpenAI with its 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 OpenAI connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure OpenAI objects to sync — Stacksync auto-detects the schema, 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 OpenAI
    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 OpenAI database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure OpenAI connector FAQ

What can I sync with the Azure OpenAI connector?

Azure OpenAI's core objects — Deployments, Models, Fine-tuning jobs, Files and custom fields — can sync with any of 302 other systems. Azure OpenAI is a data source: Stacksync reads from it in real time and delivers into your systems of record, with field-level mapping.

How does Stacksync connect to Azure OpenAI?

Via REST data-plane (inference + authoring) and Azure Resource Manager control-plane, authenticated with API key in the api-key header, or a Microsoft Entra ID bearer token / managed identity. Changes are detected as follows — polling: list endpoints plus GET on job IDs for status; no webhooks or change feed. Fine-tuning and batch jobs expose queued/running/succeeded states.. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Azure OpenAI connector two-way?

Azure OpenAI is primarily a read-only source: Stacksync pulls its data into your CRM, database, or warehouse in real time. Writes flow into the systems Azure OpenAI connects to, not back into Azure OpenAI.

How long does an Azure OpenAI integration take to set up?

Most Azure OpenAI integrations go live in minutes: authenticate Azure OpenAI and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Azure OpenAI data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Azure OpenAI data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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
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