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Data warehouse

Connect Dremio to any app with two-way sync.

Two-way sync Dremio across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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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Object catalog

What Stacksync syncs in Dremio.

These objects sync between Dremio and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Dremio exposes them.

Sources
Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place.
Physical datasets
Tables and files promoted from sources; the raw data a sync ultimately reads.
Virtual datasets (views)
SQL views layering semantics over physical data; the preferred sync target for curated extracts.
Apache Iceberg tables
Lakehouse tables supporting DML and snapshot metadata usable for incremental reads.
Spaces and folders
Namespaces that organize virtual datasets and govern access.
Reflections
Materialized accelerations that make repeated extraction queries cheaper.
Jobs
Query execution records useful for monitoring sync workloads.
API surface

How Stacksync connects to Dremio.

The connector runs on Dremio's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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
Rate limits
Bounded by engine capacity and workload management rather than API rate limits

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Not available
  • Webhooks Not available
What ships with Dremio

Connect Dremio for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Dremio instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Dremio 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 record.

Observability

Monitoring

Track your Dremio sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Dremio connector.

Dremio is bought by data platform and analytics engineering teams at enterprises building a lakehouse on object storage; the vendor positions it as an open lakehouse for AI and analytics on Apache Iceberg, with a semantic layer and automatic query acceleration through Reflections. It sits downstream of operational systems as the query and modeling layer. Gravity accumulates in Iceberg tables and curated Virtual datasets rather than a proprietary store, since data stays in open formats on the lake.

  • Data engineering
  • Analytics engineering
  • Platform engineering

  1. Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.

  2. Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.

  3. Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.

  4. Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.

  5. Continuously land CRM and ERP records in Apache Iceberg tables that Dremio exposes as Physical datasets, keeping lakehouse analytics current with operational changes.

  6. Activate curated Virtual datasets (views) by syncing their results into operational databases or SaaS tools, so frontline teams consume governed metrics.

All Dremio integrations

Pick the system you need to keep in sync with Dremio. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 30

ERP · 24

Database · 13

Data warehouse · 9

Business productivity · 32

Accounting and finance · 13

How it works

Set up Dremio in minutes, without APIs.

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 Dremio with its 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
    Dremio connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Dremio objects to sync — Stacksync auto-detects the schema, 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 · Dremio
    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
    Dremio database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Dremio connector FAQ

What can I sync with the Dremio connector?

Dremio's core objects — Sources, Physical datasets, Virtual datasets (views), Apache Iceberg tables and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to Dremio?

Via Arrow Flight SQL, JDBC/ODBC, and a REST API, authenticated with Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. Changes are detected as follows — polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Dremio connector two-way?

Yes. Changes made in Dremio propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does a Dremio integration take to set up?

Most Dremio integrations go live in minutes: authenticate Dremio and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Dremio data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Dremio data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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
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