Two-way sync
Changes in Databricks or Plex ERP instantly reflect in both systems. No stale data, no manual imports.
Keep Databricks and Plex 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.
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 Plex ERP carries financials, operations, workforce data, or all three, the analysis belongs in Databricks next to everything else the company measures.
Stacksync syncs Inventory, Production jobs, Sales orders, Purchase orders from Plex ERP into tables in Databricks continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Databricks can be written back to fields in Plex ERP where that is useful.
Worker and organization data syncs into Databricks for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Databricks, joinable with sales and finance data.
Combine Plex ERP's records with data synced from other systems in Databricks for consolidated views no single system can produce.
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.
| Databricks objects | Plex ERP objects | |
|---|---|---|
| Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. | Inventory On-hand balances and locations replicated for visibility outside the plant system | |
| Schemas Group tables and views; syncs typically target a dedicated schema per source system. | Production jobs Shop-floor work records combining ERP and MES data for output reporting | |
| Delta Tables The primary read and write target; operational data lands here as managed or external tables. | Sales orders Demand records written in from e-commerce or EDI channels and read out for fulfillment status | |
| Views Curated read-only projections used as sync sources for downstream tools. | Purchase orders Procurement records mirrored to accounting and planning systems | |
| Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | Customers Account records kept consistent with the sales team's CRM | |
| Volumes Unity Catalog file storage used for staging bulk loads. | Suppliers Vendor records aligned with procurement and AP tools |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–Plex ERP connection.
Changes in Databricks or Plex ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Databricks or Plex ERP data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Databricks or Plex ERP record.
Track your Databricks ⇄ Plex ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Databricks and Plex ERP.
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 Databricks and Plex ERP 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 Databricks and Plex 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.
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 Databricks and Plex ERP: authenticate both systems, choose the objects to sync (such as Databricks's Catalogs and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Databricks side: Change Data Feed, Catalogs, Schemas, Delta Tables, plus custom fields where Databricks exposes them. On the Plex ERP side: Inventory, Production jobs, 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 Databricks and Plex ERP: Where Plex ERP is the HR system of record: workforce analytics; Where Plex ERP runs operations: order and supply analysis; Group reporting across systems. Worker and organization data syncs into Databricks for headcount, cost, and planning analysis alongside other company data.
Databricks: SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution. Authentication: Personal access tokens or OAuth machine-to-machine credentials for service principals. Plex ERP: REST APIs plus legacy SOAP web services. Authentication: API keys issued through the Plex Developer Portal. Stacksync manages authentication, retries, and rate limits on both sides.
Databricks: SQL warehouses expose standard JDBC/ODBC connectivity plus a REST statement-execution endpoint, so tools can integrate without cluster management. Plex ERP: A large part of Plex's integration surface is exposed as callable data sources, parameterized endpoints mapping to specific queries or actions, alongside newer REST APIs. Stacksync's field mapping accounts for these differences between Databricks and Plex ERP 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 Databricks and Plex ERP.