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AI ⇄ Database

Pinecone to Reltio integration — real-time, two-way sync

Keep Pinecone 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 Pinecone and Reltio

Sync the records in Reltio into Pinecone and land its embeddings, classifications, and generated fields back on the same rows, in real time and without a pipeline to maintain.

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 Pinecone 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 Crosswalks, Interactions, Matches (Potential Matches), Activity Log in Reltio with Indexes, Vectors (records), Namespaces, Collections in Pinecone in real time. Rows created or changed in Reltio flow into Pinecone so inference and embedding run on current data, and the scores, labels, and generated fields Pinecone 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 Pinecone. 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 Read an index's vectors and per-namespace statistics into a warehouse for auditing what is stored, sizing cost, and detecting drift from the source data.
  • 02 Migrate or clone vectors between Pinecone indexes, projects, or namespaces - or from another vector store into Pinecone - using batched upserts.
  • 03 Push cleansed, deduplicated golden records and survivorship results from Reltio back into CRM and ERP systems so every app works from the mastered record.
  • 04 Sync Relations (affiliations, hierarchies, households) between Reltio and a CRM or graph so account and affiliation structures stay aligned.

Common sync patterns

One record, one identifier

Each item in Pinecone carries the key of the row in Reltio it came from, so results resolve back to the exact record with nothing orphaned or duplicated.

Run the AI on current data

Rows created or changed in Reltio flow into Pinecone 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 Pinecone land on the matching row in Reltio, next to the source data your applications already query.

What you can sync between Pinecone 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.

Pinecone objects Reltio objects How this pairing syncs
Indexes Serverless or pod-based containers holding vectors of a fixed dimension and distance metric (cosine, dotproduct, euclidean); managed on the control plane (api.pinecone.io) via create, list, describe, configure, and delete. describe_index returns the per-index data-plane host. Activity Log Immutable audit trail of changes to entities and relations via /activities; read-only, used for history, lineage, and compliance reporting. Indexes is specific to Pinecone and Activity Log to Reltio — each maps to any object or custom field on the other side.
Vectors (records) The core data: an id (up to 512 chars), a dense values array, optional sparse_values, and JSON metadata (up to 40 KB filterable per record). Full CRUD on the data plane via upsert, update, fetch, query, and delete, so write is supported here. Data Change Requests (DCR) Stewardship change proposals routed through approval workflows; read and written to feed or track governed edits to golden records. Vectors (records) is specific to Pinecone and Data Change Requests (DCR) to Reltio — each maps to any object or custom field on the other side.
Namespaces Partitions inside an index; every read and write targets one namespace and vectors across namespaces are isolated. Enumerated with list_namespaces and sized per namespace via describe_index_stats. Reference Data (RDM) Managed lookup and reference values (country codes, standardized values, hierarchies); read and updated so downstream systems share consistent reference data. Namespaces is specific to Pinecone and Reference Data (RDM) to Reltio — each maps to any object or custom field on the other side.
Collections Immutable snapshots of a pod-based index that store its data but not its definition; created, listed, and deleted on the control plane and used to recreate a pod-based index. Serverless indexes use Backups instead. Entities Golden records for each configured entity type (for example Organization, Individual/Contact, Location, or Product); full CRUD via /entities, so records are created, updated, and deleted, and Reltio matches and merges them by survivorship rules. Collections is specific to Pinecone and Entities to Reltio — each maps to any object or custom field on the other side.
Backups Point-in-time snapshots of a serverless index; created, listed, and restored into a new index on the control plane for recovery or cloning. Read as a recovery-asset inventory. Relations Typed relationships between two entities (affiliations, hierarchies, employment, households); read and written via /relations to keep account hierarchies and affiliation graphs aligned across systems. Backups is specific to Pinecone and Relations to Reltio — each maps to any object or custom field on the other side.
Index statistics Describe_index_stats returns total and per-namespace vector counts, the index dimension, and index fullness; read to size a sync and to detect drift between Pinecone and the source of truth. 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. Index statistics is specific to Pinecone and Crosswalks to Reltio — each maps to any object or custom field on the other side.

How changes propagate between Pinecone 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.

Pinecone Reltio Interval-based propagation

DetectionStacksync polls Pinecone for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks and no native change-data-capture feed.

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

Reltio Pinecone 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.

DeliveryEach detected change is written to Pinecone through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Pinecone: Data-plane operations are capped per second: query, upsert, update, and delete at 100 req/s per namespace, fetch at 100 req/s per index, and list at 200 req/s per index; breaches return HTTP 429. Hard request limits also apply: an upsert is max 2 MB or 1000 records, metadata max 40 KB per record, and query top_k up to 10,000 with a 4 MB result cap.
  • 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 Pinecone ⇄ Reltio

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Pinecone 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 Pinecone or Reltio record.

Observability

Monitoring

Track your Pinecone ⇄ Reltio sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Pinecone and Reltio.

How the Pinecone and Reltio connectors work

Pinecone

Integration surface
Two HTTP APIs: a control plane at api.pinecone.io (manage indexes, collections, backups, and, via the Admin API, projects and API keys) and a per-index data plane at the host returned by describe_index (upsert, query, fetch, update, delete, list). A gRPC data-plane transport is available through the official SDKs.
Authentication
API key in the Api-Key request header, scoped to one project; every request also sends an X-Pinecone-Api-Version header (date-based, e.g. 2025-10). The organization Admin API instead uses OAuth2 client-credentials (service accounts) via login.pinecone.io/oauth/token, passing a Bearer token to api.pinecone.io/admin (Enterprise).
Change detection
No webhooks and no native change-data-capture feed. Vectors carry no server-side update timestamp, so Stacksync detects changes by re-reading - paginating vector ids with the list operation (serverless indexes) and fetching by id, or by re-upserting from the source of truth. describe_index_stats bounds a resync with per-namespace counts.
Capabilities
read · write
Rate limits
Data-plane operations are capped per second: query, upsert, update, and delete at 100 req/s per namespace, fetch at 100 req/s per index, and list at 200 req/s per index; breaches return HTTP 429. Hard request limits also apply: an upsert is max 2 MB or 1000 records, metadata max 40 KB per record, and query top_k up to 10,000 with a 4 MB result cap.

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 Pinecone 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 Pinecone 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
    Pinecone connected
    Reltio connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Pinecone 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 Pinecone and Reltio.

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