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SAP Data Archiving Services

Detain your SAP Systems efficient, lean, and affordable with TechOrbit's Data Archiving Services

When SAP data growth starts costing real money

Databases grow faster than teams realise. 

HANA database size increasing storage and infrastructure costs

Performance degradation due to large transactional and historical tables

S/4HANA migrations slowed by unnecessary legacy data

Compliance pressure around retention, deletion, and audit access

Limited clarity on where archived data should physically live

Uncertainty between SAP storage, third-party repositories, and hyperscaler options

Not sure where archived SAP data should actually be stored?

Flexible archiving models that fit your SAP landscape

SAP-native first. Hyperscaler–ready by design. 

SAP Storage Options

SAP ILM: based archiving with policy-driven retention and deletion

SAP BTP: based data archiving services for cloud and hybrid landscapes

Secure, read-only access to archived data directly from SAP transactions

Third-Party & Hyperscaler Storage

Integration with SAP-certified hyperscalers including Microsoft Azure, Amazon Web Services, Google Cloud, IBM Cloud, and Alibaba Cloud

Cost-optimized object storage for long-term data retention

Separation of hot, warm, and cold data without breaking SAP context

Deployment Flexibility

On-premise SAP with cloud-based archive storage

SAP on hyperscalers with native cloud storage

RISE with SAP and private cloud–aligned archiving strategies

Why enterprises trust TechOrbit for SAP Data Archiving

It enable long-term control over enterprise data, not just a one-time cleanup.

Deep experience across SAP ILM, ADK, and archiving object design

Proven execution across ECC, Suite on HANA, and S/4HANA landscapes

Clear guidance on SAP storage vs hyperscaler cost trade-offs

Secure access models for business users, auditors, and IT teams

Alignment with S/4HANA, RISE, and cloud cost-optimization goals

Archiving designed to remain operational, not abandoned after go-live

Reduce SAP data growth without losing business history