Real-time
Two-way sync
Changes in Kommo or Pinecone instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ AI
Kommo to Pinecone integration — real-time, two-way sync
Keep Kommo 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Kommo and Pinecone
Write what Pinecone computes onto the contacts, accounts, and deals in Kommo, and feed Kommo'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 Kommo, 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 Kommo.
Stacksync connects Backups, Index statistics, Indexes, Vectors (records) in Pinecone to Companies, Pipelines & Statuses, Tasks, Notes in Kommo with bi-directional, real-time sync. Records and fields from Kommo 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 Kommo, 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 Kommo 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 Replicate Kommo leads and contacts into a database or warehouse for reporting beyond built-in dashboards
- 04 Push web form and product signups into Kommo pipelines as they are submitted so messenger-based follow-up starts quickly
Common sync patterns
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 Kommo, keeping segmentation current as new data arrives.
Where Pinecone indexes records for retrieval: Kommo keeps it fresh
Contacts, accounts, and notes from Kommo sync into Pinecone as they change, so embeddings or search stay aligned with the live CRM instead of a stale export.
Where Pinecone summarizes or drafts: text where reps read it
Summaries, next steps, or drafted messages generated in Pinecone write back onto the account or deal in Kommo, next to the relationship they describe.
What you can sync between Kommo 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.
| Kommo objects | Pinecone objects | How this pairing syncs | |
|---|---|---|---|
| Notes Free-text and system notes attach context to synced leads and contacts. | 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. | Notes is specific to Kommo and Namespaces to Pinecone — each maps to any object or custom field on the other side. | |
| Custom Fields Per-entity custom fields hold data written from external databases and enrichment. | 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. | Custom Fields is specific to Kommo and Collections to Pinecone — each maps to any object or custom field on the other side. | |
| Users Account users map lead ownership to people in other systems. | 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. | Users is specific to Kommo and Backups to Pinecone — each maps to any object or custom field on the other side. | |
| Chats Messenger conversations from WhatsApp, Instagram, and other channels attach to leads and contacts. | 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. | Chats is specific to Kommo and Index statistics to Pinecone — each maps to any object or custom field on the other side. | |
| Leads The central pipeline record; external signups and form fills sync in as leads. | 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. | Leads is specific to Kommo and Indexes to Pinecone — each maps to any object or custom field on the other side. | |
| Contacts Person records sync with other CRMs and databases for a shared contact file. | 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. | Contacts is specific to Kommo and Vectors (records) to Pinecone — each maps to any object or custom field on the other side. |
How changes propagate between Kommo 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.
Kommo Pinecone Sub-second propagation
DetectionKommo notifies Stacksync of record changes through webhook events. Webhooks on record add and update events, plus polling for backfill.
DeliveryEach detected change is written to Pinecone through its API, with automatic retries and rate-limit backoff.
Pinecone Kommo 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 Kommo through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Kommo: Subject to per-account request rate limits.
- 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 Kommo ⇄ Pinecone
Connect Kommo and Pinecone for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Kommo–Pinecone connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Kommo 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 Kommo or Pinecone record.
Observability
Monitoring
Track your Kommo ⇄ Pinecone sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Kommo and Pinecone.
How the Kommo and Pinecone connectors work
Kommo
- Integration surface
- REST API
- Authentication
- OAuth 2.0 with refresh tokens
- Change detection
- Webhooks on record add and update events, plus polling for backfill
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to per-account request rate limits
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 Kommo 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.
- 01
Connect your apps
Authenticate Kommo 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.
Kommo
connected
Pinecone
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Kommo 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.
objects · Kommo ⇄ PineconeCustomers 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.
Kommo PineconeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Kommo and Pinecone integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Kommo and Pinecone: authenticate both systems, choose the objects to sync (such as Kommo's Notes and Custom Fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Kommo and Pinecone connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Kommo–Pinecone integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Kommo and Pinecone. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Kommo: Webhooks on record add and update events, plus polling for backfill. On Pinecone: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Pinecone side: Backups, Index statistics, Indexes, Vectors (records), plus custom fields where Pinecone exposes them. On the Kommo side: Companies, Pipelines & Statuses, Tasks, Notes. Stacksync auto-detects both schemas and converts types between the two systems.
-
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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 491 integrations available for Kommo and Pinecone.
Popular · 8 of 491
-
Kommo ⇄ Autopilot -
Kommo ⇄ Anthropic -
Kommo ⇄ Openai -
Kommo ⇄ Azure OpenAI -
Pinecone ⇄ Freshsales -
Pinecone ⇄ Freshworks CRM -
Pinecone ⇄ Gladly -
Pinecone ⇄ Gorgias
No integrations match .
