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Data warehouse ⇄ ERP

Apache Hive to Sage 100 integration — real-time, two-way sync

Keep Apache Hive and Sage 100 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Apache Hive and Sage 100

Put Sage 100's records in Apache Hive as live tables for reporting and analysis, without extract jobs, and write results back where Sage 100 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 Sage 100 carries financials, operations, workforce data, or all three, the analysis belongs in Apache Hive next to everything else the company measures.

Stacksync syncs Vendors, Inventory Items, Sales Orders, AR Invoices from Sage 100 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 Sage 100 where that is useful.

Common use cases

  • Sync new date partitions incrementally instead of rescanning full tables.
  • Publish Hive aggregate tables to a faster serving database for dashboards.
  • Publish item, pricing, and on-hand inventory to online catalogs on a schedule.
  • Replicate GL and sales history to a warehouse or Postgres database for reporting off the on-premise system.

Write-back where Sage 100 exposes writable fields

Classifications or reference values computed in Apache Hive sync back onto the corresponding records in Sage 100.

Where Sage 100 holds the books: finance reporting from live data

Financial records land in Apache Hive as they change, so period-end reporting queries current numbers rather than last night's extract.

Where Sage 100 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.

What you can sync between Apache Hive and Sage 100

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 Sage 100 objects
ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Journal Entries Posted GL activity replicated to warehouses for FP&A.
Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. Customers AR customer master records synced to CRMs for account and credit visibility.
Databases Metastore namespaces that scope tables and grants. Vendors AP vendor master records synced with procurement and payment tools.
Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. Inventory Items Item master with pricing and quantities, synced to e-commerce catalogs.
External Tables Tables over existing files in HDFS or object storage, read without moving data. Sales Orders Order headers and lines, the usual write target for web and EDI orders.
Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. AR Invoices Billing documents synced outward for payment status and revenue reporting.
What ships with Apache Hive ⇄ Sage 100

Connect Apache Hive and Sage 100 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Hive–Sage 100 connection.

Real-time

Two-way sync

Changes in Apache Hive or Sage 100 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Hive or Sage 100 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 Sage 100 record.

Observability

Monitoring

Track your Apache Hive ⇄ Sage 100 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 Sage 100.

How the Apache Hive and Sage 100 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

Sage 100

Integration surface
ODBC (ProvideX driver) for reads; Business Object Interface (BOI) or Sage-provided web services for writes
Authentication
Sage 100 company and user credentials; ODBC DSN credentials for direct reads
Change detection
Scheduled polling; no webhooks or change log on the integration surface
Capabilities
read · write
How it works

How to connect Apache Hive to Sage 100 — 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.

  1. 01

    Connect your apps

    Authenticate Apache Hive and Sage 100 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Hive connected
    Sage 100 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Hive and Sage 100 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Hive ⇄ Sage 100
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apache Hive Sage 100
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Hive and Sage 100 integration FAQ

SECURITY

Security teams love 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.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Hive and Sage 100.

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