Real-time
Real-time sync
Changes in Openai or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
AI ⇄ Database
Openai to Scaleway Postgres integration — real-time data sync
Keep Openai and Scaleway Postgres 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 Openai and Scaleway Postgres
Sync the records in Scaleway Postgres into Openai and land its embeddings, classifications, and generated fields back on the same rows, in real time and without a pipeline to maintain.
Openai is a read-only source: Stacksync reads its data in real time and delivers it into Scaleway Postgres, so Scaleway Postgres always reflects the current state of 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. Scaleway Postgres is where those source records actually live. The bridge between the two is the row itself, since an item in Openai and the record in Scaleway Postgres it describes are two halves of the same thing, and they drift the moment one is updated without the other.
Stacksync syncs Schemas, Sequences, Columns, Tables in Scaleway Postgres with Batch jobs, Vector stores, Usage & Costs, Projects & Members in Openai in real time. Rows created or changed in Scaleway Postgres flow into Openai so inference and embedding run on current data, and the scores, labels, and generated fields Openai produces flow back onto the matching rows in Scaleway Postgres, 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 Scaleway Postgres stays tied to its AI-side counterpart in 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 Land Fine-tuning jobs with their status, base model, hyperparameters, and result Files in a warehouse to power MLOps dashboards without per-viewer API calls.
- 02 Subscribe to batch.completed and fine_tuning.job.succeeded webhooks so a downstream pipeline step fires the moment an offline-inference or training job finishes.
- 03 Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records
- 04 Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
Common sync patterns
Keep derived data fresh as sources change
When a row in Scaleway Postgres is updated or removed, its counterpart in Openai is updated or removed too, so nothing in Openai describes a record that has since changed or gone.
Backfill once, then stay in step
Load your existing rows from Scaleway Postgres into Openai to build the index or enrichment set, then let ongoing changes sync automatically instead of re-running the whole job.
One record, one identifier
Each item in Openai carries the key of the row in Scaleway Postgres it came from, so results resolve back to the exact record with nothing orphaned or duplicated.
What you can sync between Openai and Scaleway Postgres
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.
| Openai objects | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Fine-tuning jobs Training jobs with status, base model, hyperparameters, trained-model name, and result files; status received by webhook or polled from queued through succeeded or failed. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Fine-tuning jobs is specific to Openai and Materialized views to Scaleway Postgres — 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 as business records in sync. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Files is specific to Openai and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Batch jobs Asynchronous bulk-inference jobs within a 24-hour window, with status and output/error file IDs; completion detected by the batch.completed webhook or by polling. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Batch jobs is specific to Openai and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Vector stores File collections backing file-search retrieval, with name, file counts, usage bytes, and status; read as a metadata inventory of retrieval assets. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Vector stores is specific to Openai and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Usage & Costs Per-model and per-project token, request, and dollar figures from the Administration Usage and Costs endpoints, read for FinOps chargeback and spend reporting. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Usage & Costs is specific to Openai and Tables to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Projects & Members Organization projects, their members, and service accounts from the Administration API; read as an access-and-ownership inventory. | Views Read-only sources for shaping data before it leaves the database. | Projects & Members is specific to Openai and Views to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Openai and Scaleway Postgres
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.
Openai Scaleway Postgres Sub-second propagation
DetectionOpenai notifies Stacksync of record changes through webhook events. Push webhooks (Standard Webhooks spec, whsec_ signing secret) fire on batch.completed, fine_tuning.job.succeeded/failed, response.completed/failed,.
DeliveryEach detected change is applied to Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres Openai Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
DeliveryOpenai does not accept inbound record writes, so this direction carries requests rather than records: Openai's output flows back as field updates on the originating Scaleway Postgres records.
Rate-limit considerations
- Openai: Rate limits are set per organization and per project as RPM/RPD and TPM/TPD and rise across five spend-based usage tiers; responses carry x-ratelimit-remaining headers and return HTTP 429 on breach.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Openai ⇄ Scaleway Postgres
Connect Openai and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Openai–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Openai or Scaleway Postgres 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 Openai or Scaleway Postgres record.
Observability
Monitoring
Track your Openai ⇄ Scaleway Postgres sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Openai and Scaleway Postgres.
How the Openai and Scaleway Postgres connectors work
Openai
- Integration surface
- REST API: data-plane inference and authoring (api.openai.com/v1) plus the Administration API (/v1/organization/*) for usage, costs, projects, and audit logs
- Authentication
- Bearer API key scoped to a project or user (sk-...) in the Authorization header, with optional OpenAI-Organization and OpenAI-Project headers; the Administration API requires an Admin key (sk-admin-...)
- Change detection
- Push webhooks (Standard Webhooks spec, whsec_ signing secret) fire on batch.completed, fine_tuning.job.succeeded/failed, response.completed/failed, and eval.run events; objects without a webhook are read by list plus GET-by-ID. No row-level CDC feed.
- Capabilities
- read · webhooks
- Rate limits
- Rate limits are set per organization and per project as RPM/RPD and TPM/TPD and rise across five spend-based usage tiers; responses carry x-ratelimit-remaining headers and return HTTP 429 on breach.
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
How it works
How to connect Openai to Scaleway Postgres — 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.
- 01
Connect your apps
Authenticate Openai and Scaleway Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Openai
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Openai and Scaleway Postgres 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.
objects · Openai ⇄ Scaleway PostgresCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Openai Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Openai and Scaleway Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Openai and Scaleway Postgres — Openai is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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Common patterns for Openai and Scaleway Postgres: Keep derived data fresh as sources change; Backfill once, then stay in step; One record, one identifier. When a row in Scaleway Postgres is updated or removed, its counterpart in Openai is updated or removed too, so nothing in Openai describes a record that has since changed or gone.
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Openai: REST API: data-plane inference and authoring (api.openai.com/v1) plus the Administration API (/v1/organization/*) for usage, costs, projects, and audit logs. Authentication: Bearer API key scoped to a project or user (sk-...) in the Authorization header, with optional OpenAI-Organization and OpenAI-Project headers; the Administration API requires an Admin key (sk-admin-...). Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Stacksync manages authentication, retries, and rate limits on both sides.
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Openai: OpenAI ships native push webhooks (Standard Webhooks spec, whsec_ signing secret) for batch.completed, fine_tuning.job.succeeded/failed, response.completed/failed, and eval.run events, with retries up to 72 hours. Scaleway Postgres: Postgres-native types such as JSONB and arrays are available, and a sync layer must map them onto flat SaaS field types. Stacksync's field mapping accounts for these differences between Openai and Scaleway Postgres without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Openai and Scaleway Postgres records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Openai and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Openai–Scaleway Postgres integration in-house.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 416 integrations available for Openai and Scaleway Postgres.
Popular · 7 of 416
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Openai ⇄ Google Cloud SQL -
Openai ⇄ IBM AS/400 -
Openai ⇄ IBM Informix -
Openai ⇄ InfluxDB -
Scaleway Postgres ⇄ Pinecone -
Scaleway Postgres ⇄ Azure OpenAI -
Scaleway Postgres ⇄ Autopilot
No integrations match .
