Real-time
Real-time sync
Changes in Apache Hive or E2 Shop System instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
Apache Hive to E2 Shop System integration — real-time data sync
Keep Apache Hive and E2 Shop System 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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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Apache Hive and E2 Shop System
Put E2 Shop System's records in Apache Hive as live tables for reporting and analysis, without extract jobs, and write results back where E2 Shop System can use them.
E2 Shop System is a read-only source: Stacksync reads its data in real time and delivers it into Apache Hive, so Apache Hive always reflects the current state of E2 Shop System — without exports, scripts, or schedulers.
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 E2 Shop System carries financials, operations, workforce data, or all three, the analysis belongs in Apache Hive next to everything else the company measures.
Common use cases
- 01 Bridge a legacy Hadoop warehouse to a cloud warehouse during migration by syncing tables continuously.
- 02 Extract curated Hive tables into operational databases or SaaS tools so business teams use data locked in Hadoop.
- 03 Keep purchase order data visible to planning or supplier-facing tools without direct ERP access.
- 04 Replicate job and work order status into a reporting database to power shop-floor and delivery dashboards.
Common sync patterns
Where E2 Shop System is the HR system of record: workforce analytics
Worker and organization data syncs into Apache Hive for headcount, cost, and planning analysis alongside other company data.
Where E2 Shop System runs operations: order and supply analysis
Operational records become queryable tables in Apache Hive, joinable with sales and finance data.
Group reporting across systems
Combine E2 Shop System's records with data synced from other systems in Apache Hive for consolidated views no single system can produce.
What you can sync between Apache Hive and E2 Shop System
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 | E2 Shop System objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Precomputed results available in newer Hive versions for faster reads. | Routings / Operations Per-part operation sequences that carry estimated and actual times. | Materialized Views is specific to Apache Hive and Routings / Operations to E2 Shop System — each maps to any object or custom field on the other side. | |
| ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. | Purchase orders Outside material and service purchases tied to jobs. | ACID Tables is specific to Apache Hive and Purchase orders to E2 Shop System — each maps to any object or custom field on the other side. | |
| Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. | Time tickets Labor collection records used for job costing. | Metastore Catalog is specific to Apache Hive and Time tickets to E2 Shop System — each maps to any object or custom field on the other side. | |
| Databases Metastore namespaces that scope tables and grants. | Invoices Billing records synced to accounting for AR reporting. | Databases is specific to Apache Hive and Invoices to E2 Shop System — each maps to any object or custom field on the other side. | |
| Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. | Quotes / Estimates Job shop quotes with material and routing cost buildups; the start of the order lifecycle. | Managed Tables is specific to Apache Hive and Quotes / Estimates to E2 Shop System — each maps to any object or custom field on the other side. | |
| External Tables Tables over existing files in HDFS or object storage, read without moving data. | Jobs / Work orders Released work with routings and status; the record shop-floor dashboards track. | External Tables is specific to Apache Hive and Jobs / Work orders to E2 Shop System — each maps to any object or custom field on the other side. |
How changes propagate between Apache Hive and E2 Shop System
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 Hive E2 Shop System Interval-based propagation
DetectionStacksync polls Apache Hive for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition values or timestamp columns.
DeliveryE2 Shop System does not accept inbound record writes, so this direction carries requests rather than records: E2 Shop System's output flows back as field updates on the originating Apache Hive records.
E2 Shop System Apache Hive Interval-based propagation
DetectionStacksync polls E2 Shop System for changes on an incremental schedule, reading only records changed since the previous pass. Polling database tables or scheduled exports.
DeliveryEach detected change is applied to Apache Hive as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Apache Hive: No API quotas; query latency reflects the batch-oriented execution engine underneath.
- E2 Shop System: Not API-bound; constrained by on-premises database access windows.
What ships with Apache Hive ⇄ E2 Shop System
Connect Apache Hive and E2 Shop System for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Hive–E2 Shop System connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Hive or E2 Shop System 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 Hive or E2 Shop System record.
Observability
Monitoring
Track your Apache Hive ⇄ E2 Shop System sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Apache Hive and E2 Shop System.
How the Apache Hive and E2 Shop System connectors work
Apache Hive
- Integration surface
- SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift)
- Authentication
- Deployment-dependent: Kerberos, LDAP, or username/password
- Change detection
- Polling on partition values or timestamp columns; no general-purpose change log for external consumers
- Capabilities
- read · write
- Rate limits
- No API quotas; query latency reflects the batch-oriented execution engine underneath
E2 Shop System
- Integration surface
- No broadly documented public web API; integration typically works through the underlying database or application import/export, depending on deployment
- Authentication
- Database credentials or application-level export access on the on-premises installation
- Change detection
- Polling database tables or scheduled exports
- Capabilities
- read
- Rate limits
- Not API-bound; constrained by on-premises database access windows
How it works
How to connect Apache Hive to E2 Shop System — 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 Hive and E2 Shop System with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apache Hive
connected
E2 Shop System
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Hive and E2 Shop System 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 Hive ⇄ E2 Shop SystemCustomers 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 Hive E2 Shop SystemCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Hive and E2 Shop System integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Apache Hive and E2 Shop System — E2 Shop System is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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Apache Hive: SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift). Authentication: Deployment-dependent: Kerberos, LDAP, or username/password. E2 Shop System: No broadly documented public web API; integration typically works through the underlying database or application import/export, depending on deployment. Authentication: Database credentials or application-level export access on the on-premises installation. Stacksync manages authentication, retries, and rate limits on both sides.
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Apache Hive: The Hive Metastore acts as a shared catalog consumed by other engines such as Spark, Presto/Trino, and Impala, so schema changes propagate beyond Hive itself. E2 Shop System: E2 is a Windows-based job shop ERP from Shoptech, now part of ECI Software Solutions, where it has been rebranded as JobBOSS²; most installations run on premises. Stacksync's field mapping accounts for these differences between Apache Hive and E2 Shop System 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 Hive and E2 Shop System 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 Hive and E2 Shop System connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Hive–E2 Shop System integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Hive and E2 Shop System. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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
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