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AI ⇄ Database

Openai to Reltio integration — real-time data sync

Keep Openai and Reltio 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 Reltio

Sync the records in Reltio 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 Reltio, so Reltio 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. Reltio 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 Reltio it describes are two halves of the same thing, and they drift the moment one is updated without the other.

Stacksync syncs Interactions, Matches (Potential Matches), Activity Log, Data Change Requests (DCR) in Reltio with Usage & Costs, Projects & Members, Audit logs, Models in Openai in real time. Rows created or changed in Reltio 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 Reltio, 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 Reltio 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 Sync the OpenAI Models catalog and each project's fine-tuned models into Postgres so platform teams track every deployed and trained model in SQL.
  • 02 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.
  • 03 Mirror the Reltio Activity Log and change history into a database for audit, lineage, and governance reporting.
  • 04 Push cleansed, deduplicated golden records and survivorship results from Reltio back into CRM and ERP systems so every app works from the mastered record.

Common sync patterns

Write results back onto the record

Scores, labels, extracted fields, or generated text produced in Openai land on the matching row in Reltio, next to the source data your applications already query.

Keep derived data fresh as sources change

When a row in Reltio 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 Reltio into Openai to build the index or enrichment set, then let ongoing changes sync automatically instead of re-running the whole job.

What you can sync between Openai and Reltio

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 Reltio objects How this pairing syncs
Vector stores File collections backing file-search retrieval, with name, file counts, usage bytes, and status; read as a metadata inventory of retrieval assets. Crosswalks Per-entity references to the source systems and their record IDs; written when loading records so Reltio ties each source contribution to a golden record, and read to trace lineage back to origin systems. Vector stores is specific to Openai and Crosswalks to Reltio — 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. Interactions Transactional or event records linked to entities (purchases, visits, activities); read and written via /interactions to enrich profiles and power 360-degree reporting. Usage & Costs is specific to Openai and Interactions to Reltio — 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. Matches (Potential Matches) Candidate duplicate pairs produced by match rules; read to review, and resolved with merge, unmerge, or not-a-match actions to control survivorship. Projects & Members is specific to Openai and Matches (Potential Matches) to Reltio — each maps to any object or custom field on the other side.
Audit logs Organization audit-log events (API-key changes, logins, project edits) from the Administration API; read for compliance and security monitoring. Activity Log Immutable audit trail of changes to entities and relations via /activities; read-only, used for history, lineage, and compliance reporting. Audit logs is specific to Openai and Activity Log to Reltio — each maps to any object or custom field on the other side.
Models Catalog of available base, snapshot, and fine-tuned models with owner and capabilities; read-only reference data used to resolve inference and fine-tuning targets. Data Change Requests (DCR) Stewardship change proposals routed through approval workflows; read and written to feed or track governed edits to golden records. Models is specific to Openai and Data Change Requests (DCR) to Reltio — each maps to any object or custom field on the other side.
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. Reference Data (RDM) Managed lookup and reference values (country codes, standardized values, hierarchies); read and updated so downstream systems share consistent reference data. Fine-tuning jobs is specific to Openai and Reference Data (RDM) to Reltio — each maps to any object or custom field on the other side.

How changes propagate between Openai and Reltio

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 Reltio 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 written to Reltio through its API, with automatic retries and rate-limit backoff.

Reltio Openai Interval-based propagation

DetectionStacksync polls Reltio for changes on an incremental schedule, reading only records changed since the previous pass. Polling the REST API on updateTime (epoch-ms), for example filter=gt(updateTime,<timestamp>), for entities and relations changed past a stored.

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 Reltio 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.
  • Reltio: Reltio applies per-tenant API throttling and returns HTTP 429 (Too Many Requests) when limits are exceeded; there is no single fixed request-per-second cap published for all tenants, and throttling is tuned per tenant and environment. Large loads and reads use bulk create/update and the asynchronous export/jobs API rather than row-by-row calls.
What ships with Openai ⇄ Reltio

Connect Openai and Reltio for flexible, real-time data sync.

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

Real-time

Real-time sync

Changes in Openai or Reltio instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Openai or Reltio 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 Reltio record.

Observability

Monitoring

Track your Openai ⇄ Reltio 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 Reltio.

How the Openai and Reltio 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.

Reltio

Integration surface
Reltio REST API (Data API) — /entities, /relations, /interactions, /activities, plus Match, RDM (reference data), and Data Change Request endpoints; base URL https://{environment}.reltio.com/reltio/api/{tenantId}
Authentication
OAuth 2.0 bearer tokens obtained from Reltio's central auth server (POST https://auth.reltio.com/oauth/token, client-credentials or password grant, application/x-www-form-urlencoded) and sent as Authorization: Bearer <token>; access tokens expire after about 60 minutes and are renewed with a refresh token, and are scoped per API (entities_api, relations_api, interactions_api, configuration_api, graphs_api)
Change detection
Polling the REST API on updateTime (epoch-ms), for example filter=gt(updateTime,<timestamp>), for entities and relations changed past a stored watermark. Reltio has no CDC log external tools consume; separately, Reltio's event streaming can publish entity change events (created, changed, removed) to a customer-configured message queue (Amazon SQS/SNS, Google Pub/Sub, Azure Service Bus, or Kafka), which is a queue feed rather than HTTP webhooks.
Capabilities
read · write
Rate limits
Reltio applies per-tenant API throttling and returns HTTP 429 (Too Many Requests) when limits are exceeded; there is no single fixed request-per-second cap published for all tenants, and throttling is tuned per tenant and environment. Large loads and reads use bulk create/update and the asynchronous export/jobs API rather than row-by-row calls.
How it works

How to connect Openai to Reltio — 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 Openai and Reltio 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
    Openai connected
    Reltio connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Openai and Reltio 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 · Openai ⇄ Reltio
    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
    Openai Reltio
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Openai and Reltio 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 404 integrations available for Openai and Reltio.

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