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Connect Pinecone to any app with two-way sync.

Two-way sync Pinecone across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Object catalog

What Stacksync syncs in Pinecone.

These objects sync between Pinecone and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Pinecone exposes them.

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.
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.
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.
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.
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.
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.
API surface

How Stacksync connects to Pinecone.

The connector runs on Pinecone's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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.
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.

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Not available
  • Webhooks Not available
What ships with Pinecone

Connect Pinecone for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Pinecone instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Pinecone 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 record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Pinecone connector.

Pinecone is a managed, serverless vector database that AI and platform engineering teams run behind semantic search, recommendation, and retrieval-augmented-generation (RAG) features. It stores embeddings as vectors - an id, a dense (and optional sparse) vector, and JSON metadata - grouped into namespaces inside an index. Unlike a reporting API, it is a real writable data store with full CRUD (upsert, update, fetch, query, delete), so teams sync it both ways: writing embeddings and metadata in from a source of truth, and reading vectors and index inventory back out for audit or migration.

  • AI / ML engineers
  • Platform / backend engineers
  • Data engineers
  • MLOps / RAG platform teams
  • Search & recommendation teams

  1. Write embeddings and their metadata into a Pinecone index from a Postgres or warehouse table so a semantic-search or RAG feature always queries fresh vectors.

  2. Keep a Pinecone index aligned with a source of truth (a product catalog, knowledge base, or CRM) so new, changed, and deleted records upsert and delete the matching vectors.

  3. Two-way sync vector metadata between Pinecone and an operational database so filters and tags stay aligned on both sides.

  4. 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.

  5. Migrate or clone vectors between Pinecone indexes, projects, or namespaces - or from another vector store into Pinecone - using batched upserts.

  6. Back up a namespace by exporting its vector ids, values, and metadata to object storage or a database on a schedule using the list and fetch operations.

All Pinecone integrations

Pick the system you need to keep in sync with Pinecone. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 41

ERP · 37

Database · 50

Data warehouse · 28

Business productivity · 37

How it works

Set up Pinecone in minutes, without APIs.

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 with its 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
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Pinecone objects to sync — Stacksync auto-detects the schema, 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
    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 database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo

FAQ

Pinecone connector FAQ

What can I sync with the Pinecone connector?

Pinecone's core objects — Indexes, Vectors (records), Namespaces, Collections and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to Pinecone?

Via 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., authenticated with 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).. Changes are detected as follows — 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.. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Pinecone connector two-way?

Yes. Changes made in Pinecone propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does a Pinecone integration take to set up?

Most Pinecone integrations go live in minutes: authenticate Pinecone and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Pinecone data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Pinecone data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more
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