Skip to content
Data warehouse ⇄ ERP

Dremio to Snapfulfil integration — real-time, two-way sync

Keep Dremio and Snapfulfil 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 Dremio and Snapfulfil

Put Snapfulfil's records in Dremio as live tables for reporting and analysis, without extract jobs, and write results back where Snapfulfil can use them.

ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Snapfulfil carries financials, operations, workforce data, or all three, the analysis belongs in Dremio next to everything else the company measures.

Stacksync syncs Warehouse locations, Returns, Sales orders, Purchase orders / ASNs from Snapfulfil into tables in Dremio continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Dremio can be written back to fields in Snapfulfil where that is useful.

Common use cases

  • Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.
  • Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
  • Sync the item master from the ERP so new SKUs are receivable in the warehouse immediately
  • Mirror fulfillment activity into a database for operational reporting outside the WMS

Group reporting across systems

Combine Snapfulfil's records with data synced from other systems in Dremio for consolidated views no single system can produce.

Write-back where Snapfulfil exposes writable fields

Classifications or reference values computed in Dremio sync back onto the corresponding records in Snapfulfil.

Where Snapfulfil holds the books: finance reporting from live data

Financial records land in Dremio as they change, so period-end reporting queries current numbers rather than last night's extract.

What you can sync between Dremio and Snapfulfil

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 Snapfulfil objects
Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. Purchase orders / ASNs Inbound expectations that drive receiving and putaway.
Spaces and folders Namespaces that organize virtual datasets and govern access. Items (SKUs) The item master, usually sourced from the ERP or storefront.
Reflections Materialized accelerations that make repeated extraction queries cheaper. Inventory balances On-hand and allocated stock, read back to keep the ERP and selling channels accurate.
Jobs Query execution records useful for monitoring sync workloads. Shipments Dispatch confirmations with carrier and tracking details returned to the order source.
Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. Warehouse locations Bin and zone structure referenced by stock and movement records.
Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. Returns Inbound customer returns processed back into stock or quarantine.
What ships with Dremio ⇄ Snapfulfil

Connect Dremio and Snapfulfil for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Dremio or Snapfulfil instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Dremio or Snapfulfil 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 Snapfulfil record.

Observability

Monitoring

Track your Dremio ⇄ Snapfulfil 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 Snapfulfil.

How the Dremio and Snapfulfil 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

Snapfulfil

Integration surface
REST-style web service API
Authentication
API credentials issued for the warehouse instance
Change detection
Polling, subject to the platform's API rate limits
Capabilities
read · write
Rate limits
Specific quotas are not publicly standardized; treat throughput as instance-dependent
How it works

How to connect Dremio to Snapfulfil — 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 Dremio and Snapfulfil 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
    Dremio connected
    Snapfulfil connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Dremio and Snapfulfil 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 · Dremio ⇄ Snapfulfil
    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 Snapfulfil
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Dremio and Snapfulfil integration FAQ

SECURITY

Security teams love 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
CSA STAR
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

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Dremio and Snapfulfil.

Popular · 8 of 386
Coworkers laughing in front of a laptop in a casual office setting

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