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Data warehouse ⇄ ERP

Apache Druid to Snapfulfil integration — real-time, two-way sync

Keep Apache Druid 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Apache Druid and Snapfulfil

Put Snapfulfil's records in Apache Druid 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 Apache Druid next to everything else the company measures.

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

Common use cases

  • Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.
  • Sync Druid query results into a warehouse to combine real-time aggregates with historical models.
  • 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

Where Snapfulfil holds the books: finance reporting from live data

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

Where Snapfulfil is the HR system of record: workforce analytics

Worker and organization data syncs into Apache Druid for headcount, cost, and planning analysis alongside other company data.

Where Snapfulfil runs operations: order and supply analysis

Operational records become queryable tables in Apache Druid, joinable with sales and finance data.

What you can sync between Apache Druid 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.

Apache Druid objects Snapfulfil objects
Tasks Batch ingestion and compaction jobs monitored during data loads. Returns Inbound customer returns processed back into stock or quarantine.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Sales orders Orders pushed into the WMS for picking, packing, and dispatch.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Purchase orders / ASNs Inbound expectations that drive receiving and putaway.
Dimensions String and categorical columns used for filtering and grouping in synced queries. Items (SKUs) The item master, usually sourced from the ERP or storefront.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Inventory balances On-hand and allocated stock, read back to keep the ERP and selling channels accurate.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Shipments Dispatch confirmations with carrier and tracking details returned to the order source.
What ships with Apache Druid ⇄ Snapfulfil

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Snapfulfil record.

Observability

Monitoring

Track your Apache Druid ⇄ Snapfulfil sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Druid and Snapfulfil.

How the Apache Druid and Snapfulfil connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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 Apache Druid 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 Apache Druid 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
    Apache Druid connected
    Snapfulfil connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Apache Druid 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.

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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 386 integrations available for Apache Druid and Snapfulfil.

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