Real-time
Two-way sync
Changes in Apache Druid or Sage 300 instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
Apache Druid to Sage 300 integration — real-time, two-way sync
Keep Apache Druid and Sage 300 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 Fivetran
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Why teams connect Apache Druid and Sage 300
Put Sage 300's records in Apache Druid as live tables for reporting and analysis, without extract jobs, and write results back where Sage 300 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 Sage 300 carries financials, operations, workforce data, or all three, the analysis belongs in Apache Druid next to everything else the company measures.
Stacksync syncs Journal Batches, Order Entry Orders, Purchase Orders, Inventory Items from Sage 300 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 Sage 300 where that is useful.
Common use cases
- Sync Druid query results into a warehouse to combine real-time aggregates with historical models.
- Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.
- Replicate GL, AR, and AP detail to a warehouse for consolidated multi-company reporting.
- Keep inventory items and quantities aligned with e-commerce and warehouse systems on a schedule.
Where Sage 300 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 Sage 300 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 Sage 300'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 Sage 300
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 | Sage 300 objects | |
|---|---|---|
| Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. | AR Invoices and Receipts Billing and payment records replicated for cash and revenue reporting. | |
| Lookups Key-value mappings joined at query time, refreshable from external systems. | AR Customers Receivables customer master synced to CRMs and billing tools. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | AP Vendors Payables vendor master synced with procurement and payment systems. | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | GL Accounts Chart of accounts read for transaction mapping across integrations. | |
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Journal Batches GL entries staged in batches that must be posted; a common write target for external systems. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Order Entry Orders Sales orders written from e-commerce or EDI feeds. |
What ships with Apache Druid ⇄ Sage 300
Connect Apache Druid and Sage 300 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Sage 300 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Druid or Sage 300 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 Sage 300 record.
Observability
Monitoring
Track your Apache Druid ⇄ Sage 300 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 Sage 300.
How the Apache Druid and Sage 300 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
Sage 300
- Integration surface
- Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem
- Authentication
- Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads
- Change detection
- Scheduled polling; batch-oriented modules with no webhook surface
- Capabilities
- read · write
How it works
How to connect Apache Druid to Sage 300 — 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 Apache Druid and Sage 300 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apache Druid
connected
Sage 300
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Druid and Sage 300 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 · Apache Druid ⇄ Sage 300Customers 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.
Apache Druid Sage 300Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Druid and Sage 300 integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Apache Druid and Sage 300: authenticate both systems, choose the objects to sync (such as Apache Druid's Ingestion Supervisors and Lookups), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Apache Druid and Sage 300: Where Sage 300 is the HR system of record: workforce analytics; Where Sage 300 runs operations: order and supply analysis; Group reporting across systems. Worker and organization data syncs into Apache Druid for headcount, cost, and planning analysis alongside other company data.
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Apache Druid: 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. Sage 300: Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem. Authentication: Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads. Stacksync manages authentication, retries, and rate limits on both sides.
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Apache Druid: Streaming ingestion from Kafka or Kinesis is managed by supervisors designed to provide exactly-once ingestion semantics. Sage 300: Multi-currency and multi-company operation are core to the data model, and integrations must carry currency and company context on every transaction. Stacksync's field mapping accounts for these differences between Apache Druid and Sage 300 without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Apache Druid and Sage 300 records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Druid and Sage 300 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Druid–Sage 300 integration in-house.
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 Apache Druid and Sage 300.
Popular · 8 of 386
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Apache Druid ⇄ Odoo -
Apache Druid ⇄ Blue Yonder WMS -
Apache Druid ⇄ Brightpearl -
Apache Druid ⇄ Cetec ERP -
Sage 300 ⇄ AWS S3 -
Sage 300 ⇄ Actian Vector -
Sage 300 ⇄ Amazon Redshift -
Sage 300 ⇄ Apache Doris
No integrations match .
