Two-way sync
Changes in IBM Informix or Kommo instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Informix 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.
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 IBM Informix, where it can be queried and joined like everything else.
Stacksync mirrors Custom Fields, Users, Chats, Leads from Kommo into Rows, Views, TimeSeries objects, Stored procedures in IBM Informix 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.
Accounts, contacts, and custom objects from Kommo become tables in IBM Informix you can join with application data directly.
Signup, usage, or lifecycle changes written to IBM Informix sync onto the matching records in Kommo, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Kommo API, limits, and retries.
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.
| IBM Informix objects | Kommo objects | How this pairing syncs | |
|---|---|---|---|
| TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. | Leads The central pipeline record; external signups and form fills sync in as leads. | TimeSeries objects is specific to IBM Informix and Leads to Kommo — each maps to any object or custom field on the other side. | |
| Stored procedures Server-side logic sometimes invoked as part of write paths. | Contacts Person records sync with other CRMs and databases for a shared contact file. | Stored procedures is specific to IBM Informix and Contacts to Kommo — each maps to any object or custom field on the other side. | |
| Logical logs The transaction log that Informix's CDC interface reads committed changes from. | Companies Organization records map to accounts in ERPs and invoicing tools. | Logical logs is specific to IBM Informix and Companies to Kommo — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope a sync connection. | Pipelines & Statuses Stage definitions structure lead progress and drive stage-change syncs to reporting tools. | Databases is specific to IBM Informix and Pipelines & Statuses to Kommo — each maps to any object or custom field on the other side. | |
| Tables Relational tables mapped directly to sync targets. | Tasks Follow-up records keep rep activity consistent across systems. | Tables is specific to IBM Informix and Tasks to Kommo — each maps to any object or custom field on the other side. | |
| Rows The unit of read and write, keyed by primary key. | Notes Free-text and system notes attach context to synced leads and contacts. | Rows is specific to IBM Informix and Notes to Kommo — each maps to any object or custom field on the other side. |
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.
DetectionChanges in IBM Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.
DeliveryEach detected change is written to Kommo through its API, with automatic retries and rate-limit backoff.
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 IBM Informix as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Informix–Kommo connection.
Changes in IBM Informix or Kommo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Informix or Kommo data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single IBM Informix or Kommo record.
Track your IBM Informix ⇄ Kommo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Informix and Kommo.
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.
Authenticate IBM Informix 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.
Pick the IBM Informix 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between IBM Informix and Kommo: authenticate both systems, choose the objects to sync (such as IBM Informix's TimeSeries objects and Stored procedures), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Kommo side: Custom Fields, Users, Chats, Leads, plus custom fields where Kommo exposes them. On the IBM Informix side: Rows, Views, TimeSeries objects, Stored procedures. 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.
Common patterns for IBM Informix and Kommo: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Kommo become tables in IBM Informix you can join with application data directly.
IBM Informix: SQL over JDBC/ODBC drivers; DRDA connectivity is also supported. Authentication: Database credentials. Kommo: REST API. Authentication: OAuth 2.0 with refresh tokens. Stacksync manages authentication, retries, and rate limits on both sides.
Kommo: The API uses OAuth 2.0 with short-lived access tokens refreshed via refresh tokens, and supports webhooks on record lifecycle events. IBM Informix: Informix ships a Change Data Capture API that streams committed row changes from its logical logs, so log-based replication does not require triggers. Stacksync's field mapping accounts for these differences between IBM Informix and Kommo without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
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Every pair below is a real-time, two-way sync. Search all 468 integrations available for IBM Informix and Kommo.