SAP HANA Cloud — Technology Profile & Architecture

Core Information

#core_information

Name, description, vendor website, logo, technology type and tags.

Overview & Role

SAP HANA Cloud is a software platform designed to provide in-memory database management and advanced analytics capabilities in the cloud.

Domain Classification & Tags

Database Sap

Performance Profile

#performance_profile

Typical read and write throughput, payload size and processing latency.

Read Performance Profile

Throughput: Thousands to hundreds of thousands of transactions/queries per second (TPS/QPS) depending on workload and instance size. For analytical queries, complex queries can be processed in seconds to minutes, while simple lookups are sub-millisecond.

Payload Size: Varies widely from single rows (tens of bytes) to large analytical result sets (MBs to GBs). Typical OLTP reads are 1KB - 100KB.

Processing Latency: Sub-millisecond for simple OLTP point reads (e.g., 0.1 - 5 ms). Complex analytical queries can range from tens of milliseconds to several seconds, depending on data volume and complexity.

Write Performance Profile

Throughput: Thousands to tens of thousands of transactions per second (TPS) for OLTP workloads. Batch inserts can achieve higher rates, potentially hundreds of thousands of records per second.

Payload Size: Typically single rows (tens to hundreds of bytes) for OLTP transactions. Batch inserts can involve MBs to GBs of data.

Processing Latency: Sub-millisecond to a few milliseconds for single row inserts/updates (e.g., 1 - 10 ms). Transaction commit latency can be slightly higher due to durability requirements.

Architecture Diagram

#architecture_diagram

Reference diagram of the technology's internal architecture.

Component Architecture & Topology

open_in_new Standalone Tab

Features

#features

Catalogued product capabilities and what each one does.

Empirical data for features is currently being compiled in the global catalog.

Typical Use Cases

#typical_use_cases

Scenarios the technology is commonly chosen for.

Empirical data for typical use cases is currently being compiled in the global catalog.

Known Customers

#known_customers

Publicly referenced organisations using the technology.

Empirical data for known customers is currently being compiled in the global catalog.

Known Integrations

#known_integrations

Other products and services it is documented to work with.

Empirical data for known integrations is currently being compiled in the global catalog.

Connectors

#connectors

Directional data connections to other technologies, with direction and maturity.

Empirical data for connectors is currently being compiled in the global catalog.

Reference Architectures

#reference_architectures

Published architectures where the technology is used or mentioned.

No published reference architecture blueprints currently link to SAP HANA Cloud.

Security Features

#security_features

Built-in security and access-control capabilities.

Empirical data for security features is currently being compiled in the global catalog.

Known Issues

#known_issues

Documented limitations, defects and operational pitfalls.

Empirical data for known issues is currently being compiled in the global catalog.

Guidelines

#guidelines

Recommended practices for adopting and operating the technology.

Empirical data for guidelines is currently being compiled in the global catalog.

Standards & Compliance

#standards_and_compliance

Standards, certifications and control requirements it maps to.

Empirical data for standards & compliance is currently being compiled in the global catalog.

Sources

#sources

Documentation and research references behind the recorded information.

Empirical data for sources is currently being compiled in the global catalog.

Expert Validation

#expert_validation

Whether domain experts reviewed and confirmed the content.

Empirical data for expert validation is currently being compiled in the global catalog.