Two-way sync
Changes in Apache Hive or Epicor ERP instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Hive and Epicor 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 Epicor ERP carries financials, operations, workforce data, or all three, the analysis belongs in Apache Hive next to everything else the company measures.
Stacksync syncs Shipments, Bills of materials, Customers, Suppliers from Epicor ERP into tables in Apache Hive continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Hive can be written back to fields in Epicor ERP where that is useful.
Classifications or reference values computed in Apache Hive sync back onto the corresponding records in Epicor ERP.
Financial records land in Apache Hive as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Apache Hive for headcount, cost, and planning analysis alongside other company 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 Hive objects | Epicor ERP objects | |
|---|---|---|
| ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. | Suppliers Vendor masters kept aligned with procurement and AP automation tools. | |
| Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. | Parts Item masters that anchor inventory, BOM, and order line syncs. | |
| Databases Metastore namespaces that scope tables and grants. | Sales orders Created from won CRM opportunities; status and line changes sync back out. | |
| Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. | Purchase orders Synced with procurement systems and matched against receipts. | |
| External Tables Tables over existing files in HDFS or object storage, read without moving data. | Jobs Production jobs whose status feeds shop-floor dashboards and delivery-date updates. | |
| Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. | Quotes Estimates that pair with CRM opportunities during the sales cycle. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Hive–Epicor ERP connection.
Changes in Apache Hive or Epicor ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Hive or Epicor 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 Apache Hive or Epicor ERP record.
Track your Apache Hive ⇄ Epicor ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Hive and Epicor 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 Apache Hive and Epicor 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 Apache Hive and Epicor 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 Apache Hive and Epicor ERP: authenticate both systems, choose the objects to sync (such as Apache Hive's ACID Tables and Metastore Catalog), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Hive and Epicor ERP: Write-back where Epicor ERP exposes writable fields; Where Epicor ERP holds the books: finance reporting from live data; Where Epicor ERP is the HR system of record: workforce analytics. Classifications or reference values computed in Apache Hive sync back onto the corresponding records in Epicor ERP.
Apache Hive: SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift). Authentication: Deployment-dependent: Kerberos, LDAP, or username/password. Epicor ERP: REST API (OData) over Epicor business objects, plus BAQ (Business Activity Query) endpoints. Authentication: API key combined with basic or token authentication, depending on version and deployment. Stacksync manages authentication, retries, and rate limits on both sides.
Apache Hive: Row-level ACID transactions are supported on ORC-backed transactional tables in Hive 3, but classic tables remain append-oriented. Epicor ERP: The REST surface wraps Epicor business objects, so API writes pass through the same validation and business logic as the client UI. Stacksync's field mapping accounts for these differences between Apache Hive and Epicor ERP without custom code.
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 Hive and Epicor ERP records are not retained after a sync operation.
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 Hive and Epicor ERP.