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Data warehouse ⇄ ERP

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

Keep Apache Druid and Rootstock ERP 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 Rootstock ERP

Put Rootstock ERP's records in Apache Druid as live tables for reporting and analysis, without extract jobs, and write results back where Rootstock ERP 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 Rootstock ERP carries financials, operations, workforce data, or all three, the analysis belongs in Apache Druid next to everything else the company measures.

Stacksync syncs Receipts and Shipments, Salesforce Accounts and Contacts, Sales Orders, Work Orders from Rootstock ERP 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 Rootstock ERP where that is useful.

Common use cases

  • Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.
  • Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.
  • Replicate work order and inventory data to a Postgres database or warehouse for shop-floor and planning analytics.
  • Sync inventory availability by site to e-commerce storefronts so promised dates reflect real stock.

Where Rootstock ERP 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 Rootstock ERP runs operations: order and supply analysis

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

Group reporting across systems

Combine Rootstock ERP's records with data synced from other systems in Apache Druid for consolidated views no single system can produce.

What you can sync between Apache Druid and Rootstock ERP

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 Rootstock ERP objects
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Items / Products The manufacturing item master, kept aligned with e-commerce and PLM systems.
Dimensions String and categorical columns used for filtering and grouping in synced queries. Bills of Material Multi-level product structures read for costing and planning integrations.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Inventory Balances On-hand quantities by site and location, synced to storefronts and WMS.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Receipts and Shipments Inbound and outbound transactions synced to logistics and 3PL systems.
Lookups Key-value mappings joined at query time, refreshable from external systems. Salesforce Accounts and Contacts Shared CRM masters in the same org, so customer data needs no separate ERP sync.
Tasks Batch ingestion and compaction jobs monitored during data loads. Sales Orders Order headers and lines synced to fulfillment, invoicing, and reporting systems.
What ships with Apache Druid ⇄ Rootstock ERP

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid or Rootstock ERP 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 Rootstock ERP record.

Observability

Monitoring

Track your Apache Druid ⇄ Rootstock ERP 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 Rootstock ERP.

How the Apache Druid and Rootstock ERP 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

Rootstock ERP

Integration surface
Salesforce Platform APIs (REST, SOAP, Bulk) — Rootstock data lives in Salesforce custom objects
Authentication
OAuth 2.0 (standard Salesforce connected app flows)
Change detection
Salesforce Change Data Capture on Rootstock custom objects where enabled (entity selection limits apply); SOQL polling on SystemModstamp as fallback
Capabilities
read · write · CDC
Rate limits
Consumes the Salesforce org's daily API request allocation, shared with other integrations
How it works

How to connect Apache Druid to Rootstock ERP — 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 Rootstock ERP 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
    Rootstock ERP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Druid and Rootstock ERP 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 ⇄ Rootstock ERP
    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 Rootstock ERP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid and Rootstock ERP 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.

Learn more about security
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:

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 Rootstock ERP.

Popular · 8 of 386
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