SAP HANA Cloud: All-In-One Solution for your Data Storage Problems


Can’t afford your data server? Does your business need the latest memory-intensive business tools?

What’s better than using tools that your business needs at a reasonable price? Yes, most recent upgrades over cloud technology have made it possible!

About 50% of all corporate data is stored over the cloud.  And according to a prediction, almost 90% of all global enterprises will be using cloud services for their business operations. Today, most companies have started adapting to this cloud framework due to its cost-effective and seamless functionality that allows operations without the cost of owning complex and expensive hardware.

Talking of such cloud-based service providers, you cannot simply miss one of the significant cloud contributors, SAP HANA Cloud. The platform is a one-stop solution that tends to cover businesses over all the cloud operations.

How? Let’s find it out in the following segments as this piece walks you through the features that make working with extensive data an effortless experience.

How SAP HANA handles Unstructured Data? 

Unstructured data is a piece of information in which the information isn’t well-structured or present in a defined manner. Data collected from open-end surveys or conversations are an example of such data.

Previously, there have been a lot of problems in dealing with such sets of unstructured data, but with advancing AI, it’s now possible. SAP HANA addresses one of the biggest problems faced by cloud data storage; the platform has introduced users with multi-temperature data storage systems to store unstructured data. Depending on the frequency, one accesses a particular file stored in an in-memory disk or the central database. 

Another problem with unstructured data is in grouping them in a manner that can be easily analyzed. SAP HANA Cloud tackles this situation by providing a plethora of tools to deal with such enormous datasets efficiently. Its most effective way is the multi-temperature data management systems.

What is Multi-Temperature Data Management?

Multi-temperature data management is a framework that allows complex data management by classifying them into different tiers within the corresponding environment.

The top tier is the location where the platform saves the most critical data. This type of data is accessed regularly, so it is kept in an in-memory SAP HANA database. As this data starts losing its priority over time, they are migrated to the next tier.

The active yet lower priority data in the next tier is stored on disks. The secondary tier is based on theSAP HANA Cloud framework, but it is made to act as an economical storage solution with low latency.

The next tier consists of inactive and non-critical for day-to-day activities; such data is stored in a data lake. Data lake ensures proper storage of such large chunks of data extracted from this tier when required.

Importance of Data Lake in a Business

Data Lake has been produced to store many unstructured data to be easily accessible by analysts to derive valuable insights from them. The data lake has been a traditional approach to business, even before introducing Big Data storage facilities like Hadoop.

TheSAP HANA Clouddata lake allows the storage of different types of unstructured data. Data in the form of audio and video also consists of metadata stored in the data lake. This platform is specially designed to store massive datasets which are specially derived from an IoT-based environment. 

A data lake is highly capable of adding value to a business in the two ways mentioned below:

  • Analytics Sidecar Use Case – This sidecar scenario refers to the act of collecting and consolidating data from multiple sources simultaneously. All the data is stored in the SAP HANA database, and the HANA platform is used to perform all the computational tasks on the collected data. SAP HANA Sidecar is often used as secondary storage and uses that to understand the power of SAP HANA Cloud.
  • Lowered Cost of Ownership – Maintaining different sources for data retrieval for the analysis process can become very complex. Replicating and assembling data from different sources into SAP HANA Cloudsolves all the delays and drastically reduces the cost of the entire process. Hence, SAP HANA Cloud can manage multiple data management issues simultaneously and indirectly reduce the complex overheads at every instance.


SAP HANA Cloudis one of the best services provided by SAP under its innovative business management tools. All of SAP’s business tools useSAP HANA cloud for connecting different departments and sharing a large amount of data between them in real-time.

Cloud services are currently the most preferred form of services by major global enterprises. It provides immense computational and analytical power at a fraction of the price of having a personal server for availing cloud services. This is why mid-sized SAP implementation companies can put up competition against the central enterprises.

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