Key Components of SAP HANA Cloud and Issues faced during its Implementation


Over the years, SAP has provided us with a variety of solutions to ease the process of managing data and leverage its functionality to our advantage. One such popular solution in the list is the SAP HANA Cloud which is a fully managed in-memory cloud database-as-a-service (DBaaS). This solution is very helpful and effective in driving better decision-making as it collects data from the entire enterprise and compiles the pieces into interactive real-time information.

SAP HANA Cloud is a practical solution that allows seamless running, creating, and extending new as well as existing applications. SAP HANA Cloud is one of the most preferred solutions by various businesses and their customers. This solution provides businesses with a credible source of data that can help in streamlining the future of operations. Furthermore, it allows businesses to store data in multi tiers storage, based on demand.

Interested in learning more about the SAP HANA Cloud? Continue reading further to learn about some of the important aspects of the SAP HANA Cloud.

Main Components of the SAP HANA Cloud

The SAP HANA Cloud is less of a single solution but more of a combination of different solutions and their capabilities put together to provide us with a robust solution. Let us dive deeper and take a look at the building components of the SAP HANA Cloud.

  • Adaptive Service Enterprise: One important part of the SAP HANA Cloud is the adaptive server enterprise. This enables seamless processing of the online transactions and is equipped with real-time analytical capabilities offered as a part of the SAP HANA Cloud service. Furthermore, it is fully integrated with the SAP HANA Cloud and shares the well-known tenancy and security models along with other monitoring and development tools.
  • SAP HANA database: All the advanced SAP HANA technologies are made possible by the in-memory database of the SAP HANA database. These advanced technologies are very useful for multi-model data processing including spatial, graph, and even JSON document store.
  • Adaptive service enterprise replication: This is a high-performing replication system based on the log. This system supports replications in real-time between different precedents on SAP HANA Cloud. The adaptive service enterprise replication provides businesses with all the foundational SAP Replication Server (SRS) technologies for better replication of data.
  • Data Lake: The SAP HANA Cloud data lake is a storehouse for storing all unstructured, structured, and semi-structured data. Besides that, the data lake provides businesses with high-performing analytic capabilities PETA-type volumes of relational data. Businesses can even provision a standalone data lake precedent or integrate the data lake with an SAP HANA database precedent as well as the SAP HANA Cloud.

Issues to be dealt with while implementing the SAP HANA Cloud   

The overall implementation process of the SAP HANA Cloud is fairly straightforward. However, it is best if businesses lookout for a few of the challenges that might arise in the due process. These challenges are:

  • Risk of exposing the security: Migration from a legacy system to the SAP HANA Cloud is a complicated task to accomplish and might expose the organization to some important security vulnerabilities. With all the data in possession of the infrastructure, businesses cannot take chances with such security threats in the ERP software. Therefore, it is highly recommended that businesses run a detailed security assessment on the ERP system in order to devise required control measures before falling victim to an unwanted attack. Furthermore, businesses must strictly adhere to the pre and post-implementation analysis and ensure timely technical and functional verification.
  • Data Migration: In the due process of migrating data from a legacy system to the SAP HANA Cloud, businesses must ensure that no data is lost in the due process and the migrated data remains consistent with the source data. Furthermore, businesses must also be capable of tackling some serious data migration challenges such as severe disruptions or downtimes. Ensure that ETL testing determines and validates all the metadata, data models, field mapping, formats, surrogate keys, referential integrities, error logic, ETL logic, and boundary conditions while the data migration testing verifies the non-functional and functional aspects of the platform after migration.
  • Data Integration: Bringing huge and diverse sets of data together can be a challenging task in its own rights. It is vital to ensure the cleanliness and reliability of the data when SAP HANA Cloud gathers data from different sources in real-time. This will help businesses deliver the desired outcomes with ease. In order to ensure the cleanliness, reliability, and validity of the collected data businesses must conduct an end-to-end evaluation of involved integrations and data sources. Furthermore, the data sets and apps must be evaluated and certified for the sake of live deployment prior to any impact on the analytical systems for decision making.    


Successful implementation of the SAP HANA Cloud can be a tedious task to accomplish, which is why it is best if businesses seek assistance from SAP implementation companies to ease the process. Leverage custom testing solutions to test the automation framework as well as test scripts and pre-built test cases. Even though there are some challenges in the successful implementation of the SAP HANA Cloud but the benefits that come after the implementation are worth all the effort.