Skip to content
CRM ⇄ Database

Kommo to Oracle DB integration — real-time, two-way sync

Keep Kommo and Oracle DB 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 Oracle DB

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

Stacksync mirrors Chats, Leads, Contacts, Companies from Kommo into JSON columns, Tables, Views, Materialized views in Oracle DB 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 Write changes from SaaS apps back into Oracle so PL/SQL jobs and reports run on current data.
  • 04 Log-based replication of order and inventory tables into an analytics warehouse instead of nightly batch dumps.

Common sync patterns

Trigger workflows from CRM changes

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

Query the CRM like a database

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

Product events onto CRM records

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

What you can sync between Kommo and Oracle DB

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 Oracle DB objects How this pairing syncs
Contacts Person records sync with other CRMs and databases for a shared contact file. Partitions Physical subdivisions relevant when replicating high-volume tables Contacts is specific to Kommo and Partitions to Oracle DB — each maps to any object or custom field on the other side.
Companies Organization records map to accounts in ERPs and invoicing tools. JSON columns Document data stored in the converged engine and synced alongside relational rows Companies is specific to Kommo and JSON columns to Oracle DB — each maps to any object or custom field on the other side.
Pipelines & Statuses Stage definitions structure lead progress and drive stage-change syncs to reporting tools. Tables The primary read/write surface for row-level sync over SQL Pipelines & Statuses is specific to Kommo and Tables to Oracle DB — each maps to any object or custom field on the other side.
Tasks Follow-up records keep rep activity consistent across systems. Views Curated read-only projections exposed to downstream consumers Tasks is specific to Kommo and Views to Oracle DB — each maps to any object or custom field on the other side.
Notes Free-text and system notes attach context to synced leads and contacts. Materialized views Precomputed results occasionally used as stable replication sources Notes is specific to Kommo and Materialized views to Oracle DB — 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. Schemas Per-user namespaces that scope sync permissions and object visibility Custom Fields is specific to Kommo and Schemas to Oracle DB — each maps to any object or custom field on the other side.

How changes propagate between Kommo and Oracle DB

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 Oracle DB 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 Oracle DB as a row-level write, with types converted between the two schemas.

Oracle DB Kommo Sub-second propagation

DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.

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.
  • Oracle DB: Throughput bounded by database resources rather than API quotas.
What ships with Kommo ⇄ Oracle DB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Kommo or Oracle DB 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 Oracle DB record.

Observability

Monitoring

Track your Kommo ⇄ Oracle DB 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 Oracle DB.

How the Kommo and Oracle DB 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

Oracle DB

Integration surface
SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers
Authentication
database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups
Change detection
log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling
Capabilities
read · write · CDC
Rate limits
throughput bounded by database resources rather than API quotas
How it works

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

    Choose tables

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

Kommo and Oracle DB 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 470 integrations available for Kommo and Oracle DB.

Popular · 7 of 470
All Kommo integrations All Oracle DB 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