Skip to content
CRM ⇄ Database

Kommo to SQL Server integration — real-time, two-way sync

Keep Kommo and SQL Server 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 SQL Server

Treat Kommo like part of your database: its records live in SQL Server 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 SQL Server, where it can be queried and joined like everything else.

Stacksync mirrors Pipelines & Statuses, Tasks, Notes, Custom Fields from Kommo into Primary and Unique Keys, CDC Change Tables, Stored Procedures, Databases in SQL Server 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 Bi-directional sync between SQL Server rows and CRM objects so .NET line-of-business apps and sales tools share one dataset
  • 04 Expose SaaS records as SQL Server tables that existing SSRS reports and internal apps can query

Common sync patterns

Internal tools without API code

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

Trigger workflows from CRM changes

Field and stage updates in Kommo arrive as row changes in SQL Server, ready to drive jobs and notifications.

Query the CRM like a database

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

What you can sync between Kommo and SQL Server

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 SQL Server objects How this pairing syncs
Custom Fields Per-entity custom fields hold data written from external databases and enrichment. Stored Procedures T-SQL logic that can validate or post-process synced rows. Custom Fields is specific to Kommo and Stored Procedures to SQL Server — each maps to any object or custom field on the other side.
Users Account users map lead ownership to people in other systems. Databases Instance-level databases that scope a sync's reads and writes. Users is specific to Kommo and Databases to SQL Server — 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. Schemas Namespaces (dbo and custom) used to organize synced tables. Chats is specific to Kommo and Schemas to SQL Server — 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. Tables The primary sync target; rows map to records in connected systems. Leads is specific to Kommo and Tables to SQL Server — 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. Views Read-side projections used as outbound sync sources. Contacts is specific to Kommo and Views to SQL Server — each maps to any object or custom field on the other side.
Companies Organization records map to accounts in ERPs and invoicing tools. Columns Field-level mapping targets with T-SQL types. Companies is specific to Kommo and Columns to SQL Server — each maps to any object or custom field on the other side.

How changes propagate between Kommo and SQL Server

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 SQL Server 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 SQL Server as a row-level write, with types converted between the two schemas.

SQL Server Kommo Sub-second propagation

DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).

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.
  • SQL Server: No API rate limits; throughput depends on instance resources, licensing tier, and connection limits.
What ships with Kommo ⇄ SQL Server

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Kommo or SQL Server 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 SQL Server record.

Observability

Monitoring

Track your Kommo ⇄ SQL Server 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 SQL Server.

How the Kommo and SQL Server 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

SQL Server

Integration surface
SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers
Authentication
Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page
Change detection
SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
SQL Server setup guide
How it works

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

    Choose tables

    Pick the Kommo and SQL Server 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 · Kommo ⇄ SQL Server
    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
    Kommo SQL Server
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Kommo and SQL Server 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 551 integrations available for Kommo and SQL Server.

Popular · 7 of 551
All Kommo integrations All SQL Server integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own