Real-time
Two-way sync
Changes in Apache Druid or Syspro instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
Apache Druid to Syspro integration — real-time, two-way sync
Keep Apache Druid and Syspro 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 Syspro
Put Syspro's records in Apache Druid as live tables for reporting and analysis, without extract jobs, and write results back where Syspro 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 Syspro carries financials, operations, workforce data, or all three, the analysis belongs in Apache Druid next to everything else the company measures.
Stacksync syncs Suppliers, Inventory items, Sales orders, Purchase orders from Syspro 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 Syspro where that is useful.
Common use cases
- 01 Expose product telemetry stored in Druid to business tools without granting direct cluster access.
- 02 Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.
- 03 Mirror customers and AR invoices into a CRM so sales sees credit and billing status on the account
- 04 Extract job and WIP data into a warehouse for production and costing reports
Common sync patterns
Where Syspro 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 Syspro 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 Syspro 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 Syspro
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 | Syspro objects | How this pairing syncs | |
|---|---|---|---|
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Jobs (work orders) Manufacturing jobs and WIP tracked for production reporting. | Segments is specific to Apache Druid and Jobs (work orders) to Syspro — each maps to any object or custom field on the other side. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Bills of materials Product structures referenced when syncing manufacturing data. | Dimensions is specific to Apache Druid and Bills of materials to Syspro — each maps to any object or custom field on the other side. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | AR invoices Billing documents surfaced to CRMs and finance reporting. | Metrics is specific to Apache Druid and AR invoices to Syspro — each maps to any object or custom field on the other side. | |
| Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. | GL journals Financial postings extracted for consolidation and analytics. | Ingestion Supervisors is specific to Apache Druid and GL journals to Syspro — each maps to any object or custom field on the other side. | |
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Warehouses Stocking locations that scope inventory balances. | Lookups is specific to Apache Druid and Warehouses to Syspro — each maps to any object or custom field on the other side. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Customers AR customer master records matched against CRM accounts. | Tasks is specific to Apache Druid and Customers to Syspro — each maps to any object or custom field on the other side. |
How changes propagate between Apache Druid and Syspro
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Apache Druid Syspro Interval-based propagation
DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.
DeliveryEach detected change is written to Syspro through its API, with automatic retries and rate-limit backoff.
Syspro Apache Druid Interval-based propagation
DetectionStacksync polls Syspro for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is applied to Apache Druid as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
- Syspro: Throughput depends on the customer's server sizing; many deployments are on-premise.
What ships with Apache Druid ⇄ Syspro
Connect Apache Druid and Syspro for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Syspro connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Druid or Syspro 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 Syspro record.
Observability
Monitoring
Track your Apache Druid ⇄ Syspro 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 Syspro.
How the Apache Druid and Syspro 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
Syspro
- Integration surface
- e.net Solutions business objects, exposed over REST and WCF interfaces in SYSPRO 8
- Authentication
- SYSPRO operator credentials exchanged for a session token
- Change detection
- Polling; the ERP does not expose a change feed to external consumers
- Capabilities
- read · write
- Rate limits
- Throughput depends on the customer's server sizing; many deployments are on-premise
How it works
How to connect Apache Druid to Syspro — 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 Syspro 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
Syspro
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Druid and Syspro 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 ⇄ SysproCustomers 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 SysproCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Druid and Syspro integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Apache Druid and Syspro: authenticate both systems, choose the objects to sync (such as Apache Druid's Segments and Dimensions), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Apache Druid side: Tasks, Datasources, Segments, Dimensions, plus custom fields where Apache Druid exposes them. On the Syspro side: Suppliers, Inventory items, Sales orders, Purchase orders. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Apache Druid and Syspro: Where Syspro holds the books: finance reporting from live data; Where Syspro is the HR system of record: workforce analytics; Where Syspro runs operations: order and supply analysis. Financial records land in Apache Druid as they change, so period-end reporting queries current numbers rather than last night's extract.
-
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. Syspro: E.net Solutions business objects, exposed over REST and WCF interfaces in SYSPRO 8. Authentication: SYSPRO operator credentials exchanged for a session token. 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. Syspro: Business objects exchange XML documents for both input and output, which the integration layer maps to flat records. Stacksync's field mapping accounts for these differences between Apache Druid and Syspro without custom code.
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.
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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:
Related integrations
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