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AI ⇄ Database

Azure OpenAI to OCI Database (Oracle Cloud) integration — real-time data sync

Keep Azure OpenAI and OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud)

Sync the records in OCI Database (Oracle Cloud) into Azure OpenAI and land its embeddings, classifications, and generated fields back on the same rows, in real time and without a pipeline to maintain.

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

AI systems do not hold customers or invoices the way business apps do. What they hold is derived from your data: the vectors and metadata in a vector store, or the classifications, extracted fields, and generated text a model produces over records it was given. OCI Database (Oracle Cloud) is where those source records actually live. The bridge between the two is the row itself, since an item in Azure OpenAI and the record in OCI Database (Oracle Cloud) it describes are two halves of the same thing, and they drift the moment one is updated without the other.

Stacksync syncs Schemas, Sequences, PL/SQL procedures and packages, JSON collections in OCI Database (Oracle Cloud) with Vector stores, Deployments, Models, Fine-tuning jobs in Azure OpenAI in real time. Rows created or changed in OCI Database (Oracle Cloud) flow into Azure OpenAI so inference and embedding run on current data, and the scores, labels, and generated fields Azure OpenAI produces flow back onto the matching rows in OCI Database (Oracle Cloud), mapped field by field. A change on either side appears on the other within seconds, with no extraction job or webhook plumbing to keep alive.

Because matching is by a stable identifier, every row in OCI Database (Oracle Cloud) stays tied to its AI-side counterpart in Azure OpenAI. Retrieval, enrichment, and generated content always resolve back to the record they came from, so there are no orphaned vectors and no labels describing a version of a row that no longer exists.

Common use cases

  • 01 Poll Batch jobs into an operational database and fire the next pipeline step when a job's status turns to completed.
  • 02 Pull per-deployment TPM/RPM usage into a warehouse for FinOps chargeback and quota-exhaustion alerting.
  • 03 Write changes from SaaS applications back into OCI so PL/SQL-based processes operate on current data.
  • 04 Replicate operational tables from OCI to an analytics warehouse with log-based CDC instead of nightly batch dumps.

Common sync patterns

Run the AI on current data

Rows created or changed in OCI Database (Oracle Cloud) flow into Azure OpenAI as they happen, so embeddings, classifications, and prompts run on the latest records instead of a nightly snapshot.

Write results back onto the record

Scores, labels, extracted fields, or generated text produced in Azure OpenAI land on the matching row in OCI Database (Oracle Cloud), next to the source data your applications already query.

Keep derived data fresh as sources change

When a row in OCI Database (Oracle Cloud) is updated or removed, its counterpart in Azure OpenAI is updated or removed too, so nothing in Azure OpenAI describes a record that has since changed or gone.

What you can sync between Azure OpenAI and OCI Database (Oracle Cloud)

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 OCI Database (Oracle Cloud) objects How this pairing syncs
Deployments Named model deployments (model, version, SKU, assigned TPM capacity) read as a control-plane inventory via Azure Resource Manager; read-only in sync. Sequences Key generators that matter when writing new rows from external systems Deployments is specific to Azure OpenAI and Sequences to OCI Database (Oracle Cloud) — 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. PL/SQL procedures and packages Server-side logic that can react to synced data or transform it in place Models is specific to Azure OpenAI and PL/SQL procedures and packages to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side.
Fine-tuning jobs Training jobs with status, base model, hyperparameters, and result files; status is polled from queued through succeeded or failed. JSON collections Document-style storage in the converged engine, synced alongside relational tables Fine-tuning jobs is specific to Azure OpenAI and JSON collections to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side.
Files Uploaded training, validation, and batch-input files plus generated output files; listed and read by ID, not written back in sync. Partitions Physical table subdivisions relevant when replicating large fact tables Files is specific to Azure OpenAI and Partitions to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side.
Batch jobs Asynchronous bulk-inference jobs; status and output-file IDs are polled to completion to drive downstream pipeline triggers. Tables The primary sync surface; rows are read and written directly over SQL Batch jobs is specific to Azure OpenAI and Tables to OCI Database (Oracle Cloud) — 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. Views Read-only projections used to expose curated subsets to downstream systems Usage and quota is specific to Azure OpenAI and Views to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side.

How changes propagate between Azure OpenAI and OCI Database (Oracle Cloud)

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 OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud) as a row-level write, with types converted between the two schemas.

OCI Database (Oracle Cloud) Azure OpenAI Sub-second propagation

DetectionChanges in OCI Database (Oracle Cloud) are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs (LogMiner or GoldenGate), or timestamp polling.

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 OCI Database (Oracle Cloud) 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.
  • OCI Database (Oracle Cloud): Throughput bounded by instance sizing rather than API quotas.
What ships with Azure OpenAI ⇄ OCI Database (Oracle Cloud)

Connect Azure OpenAI and OCI Database (Oracle Cloud) for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure OpenAI–OCI Database (Oracle Cloud) connection.

Real-time

Real-time sync

Changes in Azure OpenAI or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure OpenAI or OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud) record.

Observability

Monitoring

Track your Azure OpenAI ⇄ OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud).

How the Azure OpenAI and OCI Database (Oracle Cloud) 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.

OCI Database (Oracle Cloud)

Integration surface
SQL wire protocol (Oracle Net) via JDBC, ODBC, and native drivers; ORDS REST optionally exposes tables over HTTP
Authentication
database credentials, commonly with mutual TLS using a client wallet on Autonomous Database; OCI IAM integration available
Change detection
log-based CDC from redo logs (LogMiner or GoldenGate), or timestamp polling
Capabilities
read · write · CDC
Rate limits
throughput bounded by instance sizing rather than API quotas
How it works

How to connect Azure OpenAI to OCI Database (Oracle Cloud) — 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 OCI Database (Oracle Cloud) 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
    OCI Database (Oracle Cloud) connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure OpenAI and OCI Database (Oracle Cloud) 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 ⇄ OCI Database (Oracle Cloud)
    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 OCI Database (Oracle Cloud)
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure OpenAI and OCI Database (Oracle Cloud) 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.

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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 407 integrations available for Azure OpenAI and OCI Database (Oracle Cloud).

Popular · 7 of 407
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