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Database ⇄ CRM

DuckDB to Kommo integration — real-time, two-way sync

Keep DuckDB and Kommo 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 DuckDB and Kommo

Treat Kommo like part of your database: its records live in DuckDB as real tables, and writes in either place sync to the other in seconds.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in DuckDB, where it can be queried and joined like everything else.

Stacksync mirrors Users, Chats, Leads, Contacts from Kommo into External files (Parquet/CSV/JSON), Attached databases, Database files, Schemas in DuckDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Kommo with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • 01 Replicate Kommo leads and contacts into a database or warehouse for reporting beyond built-in dashboards
  • 02 Push web form and product signups into Kommo pipelines as they are submitted so messenger-based follow-up starts quickly
  • 03 Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.
  • 04 Use DuckDB as a transform step: read synced Parquet exports, aggregate with SQL, and write results back to an operational database.

Common sync patterns

Query the CRM like a database

Accounts, contacts, and custom objects from Kommo become tables in DuckDB you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to DuckDB sync onto the matching records in Kommo, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Kommo API, limits, and retries.

What you can sync between DuckDB and Kommo

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.

DuckDB objects Kommo objects How this pairing syncs
External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. Notes Free-text and system notes attach context to synced leads and contacts. External files (Parquet/CSV/JSON) is specific to DuckDB and Notes to Kommo — each maps to any object or custom field on the other side.
Attached databases Additional database files or external systems attached into one session for cross-source queries. Custom Fields Per-entity custom fields hold data written from external databases and enrichment. Attached databases is specific to DuckDB and Custom Fields to Kommo — each maps to any object or custom field on the other side.
Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. Users Account users map lead ownership to people in other systems. Database files is specific to DuckDB and Users to Kommo — each maps to any object or custom field on the other side.
Schemas Namespaces within a database used to organize tables in sync outputs. Chats Messenger conversations from WhatsApp, Instagram, and other channels attach to leads and contacts. Schemas is specific to DuckDB and Chats to Kommo — each maps to any object or custom field on the other side.
Tables Columnar tables created via SQL; the destination for materialized sync data. Leads The central pipeline record; external signups and form fills sync in as leads. Tables is specific to DuckDB and Leads to Kommo — each maps to any object or custom field on the other side.
Views SQL views used to shape or filter data for downstream consumers. Contacts Person records sync with other CRMs and databases for a shared contact file. Views is specific to DuckDB and Contacts to Kommo — each maps to any object or custom field on the other side.

How changes propagate between DuckDB and Kommo

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.

DuckDB Kommo Interval-based propagation

DetectionStacksync polls DuckDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling or full re-reads.

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

Kommo DuckDB 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 applied to DuckDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • DuckDB: No API rate limits; throughput is bounded by local compute and I/O.
  • Kommo: Subject to per-account request rate limits.
What ships with DuckDB ⇄ Kommo

Connect DuckDB and Kommo for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in DuckDB or Kommo instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DuckDB or Kommo 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 DuckDB or Kommo record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between DuckDB and Kommo.

How the DuckDB and Kommo connectors work

DuckDB

Integration surface
In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
Authentication
None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
Change detection
Polling or full re-reads; no change feed or transaction log API
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by local compute and I/O

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
How it works

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

    Choose tables

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

DuckDB and Kommo 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 460 integrations available for DuckDB and Kommo.

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