Two-way sync
Changes in Apache Druid or Syspro instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Financial records land in Apache Druid as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Apache Druid for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Apache Druid, joinable with sales and finance data.
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 | |
|---|---|---|
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Jobs (work orders) Manufacturing jobs and WIP tracked for production reporting. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Bills of materials Product structures referenced when syncing manufacturing data. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | AR invoices Billing documents surfaced to CRMs and finance reporting. | |
| 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. | |
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Warehouses Stocking locations that scope inventory balances. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Customers AR customer master records matched against CRM accounts. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Syspro connection.
Changes in Apache Druid or Syspro instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid or Syspro data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Druid or Syspro record.
Track your Apache Druid ⇄ Syspro sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid and Syspro.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
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.
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.
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.
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.
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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Druid and Syspro.