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AI ⇄ Data warehouse

Azure OpenAI to Tinybird integration — real-time data sync

Keep Azure OpenAI and Tinybird 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 OpenAI and Tinybird

Flow Azure OpenAI data into Tinybird in real time — no exports, no schedulers, no custom scripts.

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

Tinybird holds the raw records the business runs on; Azure OpenAI turns those records into embeddings, scores, labels, and summaries. The two meet wherever a warehouse row needs to be enriched by a model and the result needs somewhere durable to live. Most teams stitch that meeting together with export scripts and a queue, then spend their time keeping the glue alive.

The payoff is that model output stops living in a separate place from the data it describes. Once results sit in Tinybird, they join against billing, product, and usage tables already there, so you can report on quality, cost, and coverage without moving anything by hand.

Common use cases

  • 01 Sync the Deployments inventory (model, version, TPM capacity) into Postgres so platform teams track every Azure OpenAI deployment across subscriptions in SQL.
  • 02 Land Fine-tuning jobs with their status, base model, and result Files in a warehouse to power MLOps dashboards without per-viewer API calls.
  • 03 Compute aggregates in Tinybird and write the results back to CRM fields for scoring and routing.
  • 04 Stream CRM activity such as deals and tickets into Tinybird Data Sources to power customer-facing dashboards.

Common sync patterns

History that outlives a run

A continuously synced copy in Tinybird preserves every generated result, so outputs stay auditable even as they are overwritten or expire inside Azure OpenAI.

Feed live warehouse records to Azure OpenAI

Rows added or changed in Tinybird flow into Azure OpenAI within seconds, so embeddings, classifications, and enrichments are computed on current data rather than a nightly extract.

Model output back in the warehouse

Scores, labels, embeddings, or summaries produced in Azure OpenAI land in Tinybird as columns or tables, queryable and joinable with the rest of the business data.

What you can sync between Azure OpenAI and Tinybird

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 OpenAI objects Tinybird objects How this pairing syncs
Batch jobs Asynchronous bulk-inference jobs; status and output-file IDs are polled to completion to drive downstream pipeline triggers. Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. Batch jobs is specific to Azure OpenAI and Workspaces to Tinybird — each maps to any object or custom field on the other side.
Usage and quota Per-deployment TPM/RPM consumption and remaining quota, read from usage endpoints and Azure Monitor for cost and throttling reporting. Tokens Scoped credentials that control read and append rights per resource. Usage and quota is specific to Azure OpenAI and Tokens to Tinybird — each maps to any object or custom field on the other side.
Assistants Persistent assistants (preview) with instructions, tools, and linked files; read as configuration inventory, not authored via sync. Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. Assistants is specific to Azure OpenAI and Data Sources to Tinybird — each maps to any object or custom field on the other side.
Vector stores File collections (preview) backing file-search retrieval; read as metadata such as name, file counts, and status. Pipes Chained SQL nodes that transform Data Sources into query-ready results. Vector stores is specific to Azure OpenAI and Pipes to Tinybird — each maps to any object or custom field on the other side.
Deployments Named model deployments (model, version, SKU, assigned TPM capacity) read as a control-plane inventory via Azure Resource Manager; read-only in sync. API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. Deployments is specific to Azure OpenAI and API Endpoints to Tinybird — each maps to any object or custom field on the other side.
Models Catalog of base and fine-tunable models available per region; read-only reference data used to resolve deployment and fine-tuning targets. Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. Models is specific to Azure OpenAI and Materialized Views to Tinybird — each maps to any object or custom field on the other side.

How changes propagate between Azure OpenAI and Tinybird

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 OpenAI Tinybird Interval-based propagation

DetectionStacksync polls Azure OpenAI for changes on an incremental schedule, reading only records changed since the previous pass. Polling: list endpoints plus GET on job IDs for status.

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

Tinybird Azure OpenAI Interval-based propagation

DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.

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

Rate-limit considerations

  • Azure OpenAI: Per-deployment TPM and RPM limits (about 6 RPM per 1000 TPM), scoped by region and subscription; control-plane ARM calls throttle separately.
  • Tinybird: Subject to the platform's ingestion and query rate limits; batch appends where possible.
What ships with Azure OpenAI ⇄ Tinybird

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

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

Real-time

Real-time sync

Changes in Azure OpenAI or Tinybird instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure OpenAI or Tinybird 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 or Tinybird record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure OpenAI and Tinybird.

How the Azure OpenAI and Tinybird connectors work

Azure OpenAI

Integration surface
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.
Capabilities
read
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.

Tinybird

Integration surface
REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
Authentication
Scoped auth tokens
Change detection
Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
Capabilities
read · write
Rate limits
Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works

How to connect Azure OpenAI to Tinybird — 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 OpenAI and Tinybird 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 OpenAI connected
    Tinybird connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure OpenAI and Tinybird 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 OpenAI ⇄ Tinybird
    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 Tinybird
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure OpenAI and Tinybird integration FAQ

SECURITY

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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.

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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 404 integrations available for Azure OpenAI and Tinybird.

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