Real-time
Two-way sync
Changes in Dremio or Kommo instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
Dremio to Kommo integration — real-time, two-way sync
Keep Dremio 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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Migrated from MuleSoft
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Dremio and Kommo
Sync Kommo into Dremio continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Pipelines & Statuses, Tasks, Notes, Custom Fields from Kommo land in Dremio as live tables, updated within seconds, and columns computed in Dremio write back to fields in Kommo. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- 01 Route leads that originate in WhatsApp or Instagram conversations into other systems of record
- 02 Replicate Kommo leads and contacts into a database or warehouse for reporting beyond built-in dashboards
- 03 Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
- 04 Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
Common sync patterns
Cleanup that sticks
Deduplication and normalization done in Dremio can be written back, so warehouse-side cleanup actually fixes the CRM.
CRM analytics on live data
Accounts, contacts, and activity from Kommo are queryable in Dremio moments after they change, so dashboards stop lagging the reality they describe.
Scores and segments back on the record
Lead scores, churn risk, or usage segments computed in Dremio appear as fields in Kommo, where the people working accounts actually see them.
What you can sync between Dremio 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.
| Dremio objects | Kommo objects | How this pairing syncs | |
|---|---|---|---|
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Tasks Follow-up records keep rep activity consistent across systems. | Reflections is specific to Dremio and Tasks to Kommo — each maps to any object or custom field on the other side. | |
| Jobs Query execution records useful for monitoring sync workloads. | Notes Free-text and system notes attach context to synced leads and contacts. | Jobs is specific to Dremio and Notes to Kommo — each maps to any object or custom field on the other side. | |
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Custom Fields Per-entity custom fields hold data written from external databases and enrichment. | Sources is specific to Dremio and Custom Fields to Kommo — each maps to any object or custom field on the other side. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Users Account users map lead ownership to people in other systems. | Physical datasets is specific to Dremio and Users to Kommo — each maps to any object or custom field on the other side. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Chats Messenger conversations from WhatsApp, Instagram, and other channels attach to leads and contacts. | Virtual datasets (views) is specific to Dremio and Chats to Kommo — each maps to any object or custom field on the other side. | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Leads The central pipeline record; external signups and form fills sync in as leads. | Apache Iceberg tables is specific to Dremio and Leads to Kommo — each maps to any object or custom field on the other side. |
How changes propagate between Dremio 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.
Dremio Kommo Interval-based propagation
DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
DeliveryEach detected change is written to Kommo through its API, with automatic retries and rate-limit backoff.
Kommo Dremio 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 Dremio as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Dremio: Bounded by engine capacity and workload management rather than API rate limits.
- Kommo: Subject to per-account request rate limits.
What ships with Dremio ⇄ Kommo
Connect Dremio and Kommo for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–Kommo connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio 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 Dremio or Kommo record.
Observability
Monitoring
Track your Dremio ⇄ Kommo sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Dremio and Kommo.
How the Dremio and Kommo connectors work
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
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 Dremio 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.
- 01
Connect your apps
Authenticate Dremio 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.
Dremio
connected
Kommo
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio 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.
objects · Dremio ⇄ KommoCustomers 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.
Dremio KommoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and Kommo integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Dremio and Kommo: authenticate both systems, choose the objects to sync (such as Dremio's Reflections and Jobs), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Kommo side: Pipelines & Statuses, Tasks, Notes, Custom Fields, plus custom fields where Kommo exposes them. On the Dremio side: Physical datasets, Virtual datasets (views), Apache Iceberg tables, Spaces and folders. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Dremio and Kommo: Cleanup that sticks; CRM analytics on live data; Scores and segments back on the record. Deduplication and normalization done in Dremio can be written back, so warehouse-side cleanup actually fixes the CRM.
-
Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. Kommo: REST API. Authentication: OAuth 2.0 with refresh tokens. Stacksync manages authentication, retries, and rate limits on both sides.
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Kommo: Kommo is the former amoCRM, and its data model centers on leads moving through configurable pipelines and statuses, with contacts and companies linked to each lead. Dremio: Arrow Flight SQL is a first-class endpoint designed for high-throughput columnar result transfer, an alternative to JDBC/ODBC for large extracts. Stacksync's field mapping accounts for these differences between Dremio and Kommo without custom code.
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
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Popular · 5 of 446
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Dremio ⇄ Freshsales -
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