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CRM ⇄ AI

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

Keep Gong and Pinecone in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • 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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Why teams connect Gong and Pinecone

Write what Pinecone computes onto the contacts, accounts, and deals in Gong, and feed Gong's records back into Pinecone, in real time and in both directions.

Pinecone turns data into something a revenue team can act on: scores, classifications, summaries, and embeddings. But the customers those results describe live in Gong, where reps and marketers actually work. Intelligence that stays inside Pinecone rarely reaches the record where a decision gets made, and Pinecone is only as sharp as the data it sees, which is also held in Gong.

Stacksync connects Backups, Index statistics, Indexes, Vectors (records) in Pinecone to CRM Objects, Library, Data Privacy (Erasure), Calls in Gong with bi-directional, real-time sync. Records and fields from Gong flow into Pinecone as the material it scores, indexes, or enriches, and the values Pinecone produces flow back onto the matching contact, account, or deal in Gong, field by field, within seconds. There is no batch export in the middle and no glue code to maintain.

Because the mapping is field-level, you choose exactly which attributes cross and in which direction, so Gong stays the record of the customer while Pinecone stays where the computation happens.

Common use cases

  • 01 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.
  • 02 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.
  • 03 Upload warehouse- or CRM-derived Accounts, Opportunities, and stages into Gong through the CRM integration API so deal context shows alongside conversations.
  • 04 Submit data-privacy erase-data-for-email requests to Gong to fulfill GDPR/CCPA deletion across recorded conversations.

Common sync patterns

Where Pinecone scores or ranks records: results on the CRM record

Lead scores, fit ratings, or priority computed in Pinecone land as fields on the matching contact or account in Gong, so reps sort and act on them without leaving the CRM.

Where Pinecone classifies or tags: labels sync onto the record

Categories, sentiment, or intent produced in Pinecone attach to the right contact, account, or deal in Gong, keeping segmentation current as new data arrives.

Where Pinecone indexes records for retrieval: Gong keeps it fresh

Contacts, accounts, and notes from Gong sync into Pinecone as they change, so embeddings or search stay aligned with the live CRM instead of a stale export.

What you can sync between Gong and Pinecone

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.

Gong objects Pinecone objects How this pairing syncs
CRM Objects Accounts, opportunities, stages, and users uploaded into Gong through the CRM integration API so CRM context appears alongside conversations. Write (upload) path. 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. CRM Objects is specific to Gong and Indexes to Pinecone — each maps to any object or custom field on the other side.
Library Call-library folders and folder content (curated calls and snippets) read via GET /v2/library/folders and /v2/library/folder-content. Read-only. 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. Library is specific to Gong and Vectors (records) to Pinecone — each maps to any object or custom field on the other side.
Data Privacy (Erasure) GDPR/CCPA deletion handled by POST /v2/data-privacy/erase-data-for-email, with data-for-email lookups on the read side; a write path used for compliance deletions. 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. Data Privacy (Erasure) is specific to Gong and Namespaces to Pinecone — each maps to any object or custom field on the other side.
Calls Retrieved via POST /v2/calls/extensive with participants, topics, trackers, scorecards, and media URLs, filtered by fromDateTime/toDateTime; external recordings are also imported via POST /v2/calls with media uploaded via PUT /v2/calls/{id}/media. Read and write. 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. Calls is specific to Gong and Collections to Pinecone — each maps to any object or custom field on the other side.
Transcripts Speaker-attributed, timestamped sentences retrieved via POST /v2/calls/transcript for one or more callIds; available only after asynchronous processing completes. Read-only. 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. Transcripts is specific to Gong and Backups to Pinecone — each maps to any object or custom field on the other side.
Users Gong users and team members with roles, titles, email, and settings, read via GET /v2/users to map call owners and participants to CRM and warehouse identities. Read-only. 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. Users is specific to Gong and Index statistics to Pinecone — each maps to any object or custom field on the other side.

How changes propagate between Gong and Pinecone

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.

Gong Pinecone Interval-based propagation

DetectionStacksync polls Gong for changes on an incremental schedule, reading only records changed since the previous pass. Polling POST /v2/calls/extensive on fromDateTime/toDateTime.

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

Pinecone Gong 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 Gong through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Gong: 3 API calls per second and 10,000 calls per day per company by default; exceeding returns HTTP 429 with a Retry-After header, and limits can be raised by contacting Gong.
  • 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.
What ships with Gong ⇄ Pinecone

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Gong or 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 Gong or Pinecone record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Gong and Pinecone connectors work

Gong

Integration surface
REST API on api.gong.io/v2 - retrieval endpoints (calls, transcript, users, stats, settings, library, logs) plus write endpoints for importing calls, uploading CRM data, and data-privacy erasure
Authentication
Basic authorization header combining an Access Key and Access Key Secret (created by a Gong technical admin, base64-encoded as key:secret); OAuth 2.0 Bearer tokens are supported for marketplace apps
Change detection
Polling POST /v2/calls/extensive on fromDateTime/toDateTime; the public API exposes no outbound webhooks or CDC, though a Gong admin can configure a product-side automation Rule that POSTs matching calls to a URL. Transcripts and analysis appear only after asynchronous processing.
Capabilities
read · write
Rate limits
3 API calls per second and 10,000 calls per day per company by default; exceeding returns HTTP 429 with a Retry-After header, and limits can be raised by contacting Gong.
Gong setup guide

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.
How it works

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

    Choose tables

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

Gong and Pinecone 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.

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

Related integrations

Every pair below is a real-time, two-way sync. Search all 502 integrations available for Gong and Pinecone.

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