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Data warehouse ⇄ ERP

Apache Impala to SAP integration — real-time, two-way sync

Keep Apache Impala and SAP 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 Impala and SAP

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

Stacksync syncs Billing Documents, GL Accounts and Journal Entries, Production Orders, Inventory / Stock from SAP into tables in Apache Impala continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Impala can be written back to fields in SAP where that is useful.

Common use cases

  • Serve fast extracts of Hadoop-resident tables to operational databases and SaaS tools through Impala instead of slow batch engines.
  • Sync mutable reference data into Kudu tables via Impala so row-level updates are possible on the Hadoop side.
  • Replicate journal entries and billing documents to a warehouse for finance analytics without loading the ERP.
  • Keep MES and WMS systems aligned with production orders and goods movements.

Where SAP runs operations: order and supply analysis

Operational records become queryable tables in Apache Impala, joinable with sales and finance data.

Group reporting across systems

Combine SAP's records with data synced from other systems in Apache Impala for consolidated views no single system can produce.

Write-back where SAP exposes writable fields

Classifications or reference values computed in Apache Impala sync back onto the corresponding records in SAP.

What you can sync between Apache Impala and SAP

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 Impala objects SAP objects
Users and Roles Principals (often via Ranger/Sentry) used to grant scoped read access. GL Accounts and Journal Entries Financial postings replicated to warehouses for group finance analytics.
Databases Namespaces shared with the Hive Metastore that scope tables. Production Orders Manufacturing orders exchanged with MES and scheduling systems.
Tables HDFS or object-storage backed tables (commonly Parquet) read at interactive speed. Inventory / Stock Plant and storage-location quantities synced to storefronts and planning tools.
Partitions Partition values used to limit scans and drive incremental reads. Cost Centers Controlling masters read for mapping costs in finance integrations.
Views Logical views readable as modeled sources. Business Partners The unified customer and supplier master in S/4HANA, the anchor object for CRM and procurement syncs.
Kudu Tables Kudu-backed tables that support row-level insert, update, upsert, and delete. Materials (Products) Item master with plant and sales views, synced to commerce, PLM, and CRM systems.
What ships with Apache Impala ⇄ SAP

Connect Apache Impala and SAP for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Impala–SAP connection.

Real-time

Two-way sync

Changes in Apache Impala or SAP instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Impala or SAP 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 Impala or SAP record.

Observability

Monitoring

Track your Apache Impala ⇄ SAP sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Impala and SAP.

How the Apache Impala and SAP connectors work

Apache Impala

Integration surface
SQL over JDBC/ODBC (HiveServer2-compatible protocol)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition or timestamp columns; no change log exposed for external consumers
Capabilities
read · write
Rate limits
No API quotas; concurrency is bounded by cluster resources and admission control settings

SAP

Integration surface
OData (v2/v4) APIs on S/4HANA; BAPI/RFC and IDoc on ECC and on-prem systems; SOAP services
Authentication
OAuth 2.0 or basic auth via communication arrangements on cloud editions; SAP user credentials for RFC on-prem
Change detection
Business events via SAP Event Mesh on S/4HANA; change pointers with IDocs or timestamp polling on ECC
Capabilities
read · write · webhooks
Rate limits
Throttling is configured at the gateway and tenant level rather than as a single published rate limit
How it works

How to connect Apache Impala to SAP — 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 Impala and SAP 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 Impala connected
    SAP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Impala and SAP 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 Impala ⇄ SAP
    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 Impala SAP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Impala and SAP 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
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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 Impala and SAP.

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