Ultimate cloud database solution for real-time analytics
Updated October 31, 2025

Ultimate cloud database solution for real-time analytics

Baladas Bhoir | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Software Version

SAP HANA, standard edition

Overall Satisfaction with SAP HANA Cloud

We use SAP HANA Cloud, a cloud-based, in-memory platform to develop, extend and run ERP applications. It provide us an open, extensible environment for developing new applications as well as extending existing ones with the latest technologies such as predictive analytics, machine learning, artificial intelligence, internet of things, block chain, etc. It helped us to scale our IT infrastructure quickly and cost effectively while taking advantage of the latest innovation in technology.

Pros

  • It offers you quicker innovation cycle than on-premise solutions because updates are delivered every three months
  • This platform uses advanced in-memory computing technology that provides high performance for data processing and analytics tasks
  • It's strong role-based authentication, ensures you right people gets access to right data only. You can even configure single sign-on authentication for developers and managing identities.

Cons

  • Higher cost related to integration, data migration
  • Your organization may need to re-architect existing system to make them compatible with SAP HANA Cloud
  • Limited support for legacy systems
  • It's in-memory computing technology provide us high performance for data processing and analytics tasks.
  • It offered us quarterly innovation cycles
  • It offered us pay-as-you-go pricing model that helped us reduce upfront cost.
It is a useful ERP solution for your organization which provides open, extensible environment for developing new applications as well as extending existing applications with latest technology such as predictive analytics, machine learning and artificial intelligence. It offers advanced in-memory computing technology that provides high performance for data processing and analytics tasks.
It comes with a simpler and more intuitive UI. Joule a conversational AI tool offers easy navigation & fast insights. It also streamlines access to applications and business data.
SAP HANA Cloud is most popular and globally recognized solution than IBM Cloud Databases hence we choose SAP HANA Cloud.

Do you think SAP HANA Cloud delivers good value for the price?

Yes

Are you happy with SAP HANA Cloud's feature set?

Yes

Did SAP HANA Cloud live up to sales and marketing promises?

Yes

Did implementation of SAP HANA Cloud go as expected?

Yes

Would you buy SAP HANA Cloud again?

Yes

SAP HANA Cloud is suitable for a wide range of companies whether it is a large enterprises, mid-sized businesses or even start-up. It is particularly suited for those companies seeking to take advantage of modern tools like AI & machine learning and prefers to outsource infrastructure management to eliminate the need for internal IT teams to manage hardware, database, and system upgrades.

SAP HANA Cloud Feature Ratings

ACID compliance
10
Database monitoring
10
Database locking
10
Encryption
10
Disaster recovery
10
Flexible deployment
10
Multiple datatypes
10

Using SAP HANA Cloud

110 - All core functions likes Sales, Finance, procurement use SAP HANA Cloud
5 - Core knowledge of SAP HANA database is required to Support SAP HANA Cloud. Support team must have knowledge of all business functions in detail. They must have good communication skill with quick resolution abilities. Teams should provide support 24/7 over email, phones, etc. They should have ability to adopt new technologies and features introduced through periodical updates. Proficiency in SAP HANA Cloud database management in terms of architecture, configuration, security, backup is must.
  • It provides fully managed service including infrastructure, administration, security, scalability and disaster management
  • It's In-memory database architecture speed-ups data processing and improves applications performance
  • It enables you to perform complex data analysis on various data types
  • use of natural language to generate test data, perform complex database task
  • Querying massive datasets in external object like google cloud
  • Analyze transaction data in real-time to prevent fraudulent activities
  • To use generative AI and advanced machine learning with the database and business applications
It's in-memory database architecture speed-ups data processing and improved application performance. It also increased our overall productivity.

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