top of page
Search

Case Study: Choosing Between SAP HANA Cloud and PostgreSQL – A Cost-Optimized Approach for SAP BTP Applications

  • Writer: Raven Infotech
    Raven Infotech
  • Jun 21
  • 2 min read
ree

Client Scenario:

A mid-sized manufacturing company partnered with Raven Infotech while planning to build multiple BTP-based applications across departments—ranging from simple order dashboards to complex supply chain analytics.

They were considering:

  • SAP HANA Cloud for its native SAP integration and real-time power

  • PostgreSQL for its lower cost, open-source nature, and ease of use

But the question was: “How do we balance performance, reporting integrity, and cost efficiency—without over-investing?”


Our Research & Solution Approach

At Raven Infotech, we conducted a cost-performance analysis and architecture simulation using:

  • CAP-based applications connected to both SAP HANA Cloud and PostgreSQL

  • Common enterprise scenarios: CRUD apps, analytics dashboards, and event-driven updates

  • Live data replication experiments using BTP Data Integration services & Event Mesh


 Key Findings from Our Deep-Dive Analysis


When PostgreSQL Works Well:

  • Simple CRUD apps (like form submissions, task tracking, document approval)

  • Non-mission-critical tools (internal employee apps, notifications, etc.)

  • Apps without need for SAP core integration or multi-dimensional reporting

  • PostgreSQL on SAP BTP Kyma or via hyperscaler integration is cost-effective and scales for SMB use


Where SAP HANA Cloud is Essential:

  • Real-time analytics, predictive models, or dashboards

  • Tight S/4HANA integrations where data structures need compatibility

  • High-performance transactional apps (supply chain, production planning)

  • Centralized data lake-style reporting across apps


Hybrid Architecture Recommendation:

To get the best of both worlds, we proposed:

1. Tiered Database Model

  • Use PostgreSQL for lightweight departmental apps (connected via Kyma runtime or CF services)

  • Use SAP HANA Cloud for core business processes + analytical workloads

2. Event-Driven Synchronization

  • Trigger data sync from PostgreSQL to HANA using SAP Event Mesh + Integration Suite

  • Only replicate relevant summary data, not entire tables, to optimize cost and performance

3. Centralized Reporting in SAP HANA

  • Aggregate core KPIs in SAP HANA Cloud to power dashboards (e.g., via SAP Analytics Cloud)

  • Leave transactional logs in PostgreSQL for historical or compliance storage


💸 Cost Impact:

  • ~35–40% reduction in BTP database cost annually compared to using only HANA

  • Lower onboarding cost for smaller apps

  • Minimal compromise on performance with smart data partitioning and sync strategy


Conclusion:

The right database choice on BTP isn’t about “HANA vs PostgreSQL”—it’s about where to use what, and how to orchestrate data intelligently. Our architecture ensured:

  • Cost-effective scaling of non-critical apps

  • High performance for SAP-core-integrated apps

  • Centralized, reliable reporting without data silos



 
 
 

Comments

Rated 0 out of 5 stars.
No ratings yet

Add a rating
bottom of page