Oracle Database, currently in edition 23ai, is a converged, multimodel database management system. It is designed to simplify development for AI, microservices, graph, document, spatial, and relational applications.
$0.05
per hour
SAP HANA Cloud
Score 9.0 out of 10
N/A
SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.
Oracle 12c is good for all business applications but still consider Microsoft SQLServer for internal/other applications to save on cost.
Verified User
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Chose Oracle Database
Oracle Database is best in business, consistent, and robust. Even the standard version is sufficient for the best performance. The main thing is I have never seen corruption and in my opinion, it is best when used with Linux.
Oracle Database performance was not that up to that mark to analyze data and do analysis. Also Oracle we had to indexing, fragmentation to keep its health good.
Really, it is appropriate for any kind of company. For everyone to be successful and make wise business decisions, effective data analytics are essential. Any research analytics firm can benefit greatly from it. It won't be of much use to a modeling agency; instead, a business …
SAP HANA surpasses Oracle thanks to its breadth, better usability in my opinion, and is being adopted by an increasing market share of our clients regardless of industry. The enterprise-level of the tool is particularly impactful to handling their large data sets and …
SAP HANA is the Next-Gen platform or database for real-time analytics and applications. It helps various businesses and organizations to analyze business operations that are based on Big Data (a huge volume of data) in real-time at the speed of lightning, even sub-seconds. It’s …
The choice of the SAP HANA solution was mainly determined by the choice of the new company ERP, which having been SAP, naturally led to the choice of its DB solution.
We found HANA is more flexible than ORACLE in terms of DB management and administration. We also used oracle DB replication for DC DR data syncing and HANA is more convenient and flexible for DR data replication.
SAP HANA is better than all the databases, it gives the power and speed to analyze billions of records, access data on cloud, easiest conversion and migration from any database to HANA. Easy to manage and configure.
Similar to other big DBMS, but better or equal at stability and technical maintenance. Better or equal at documentation. There is room for improvement at SQL path analyzing.
SAP HANA has better agility and data processing capabilities compared to Oracle. It can process a large amount of data in a short amount of time. This saves a lot of time making the process efficient and effective. When it comes to space, the storage management provided by SAP …
If we did not use SAP HANA, we would have used an Oracle 12c database. We selected HANA since it was recommended for Suite on HANA. So far SAP HANA has proven to be a great fit for our systems that are on Suite on HANA. All future systems we implement will be on SAP HANA.
SAP HANA uses the sheer power of in memory analytics based on columnar compression of data in the back-end resulting in an overall decreased footprint of the data resulting in a paradigm shift. The traditional RDBMS database would rely heavily on additional indexes to retrieve …
We migrated from NoSQL to an Oracle database. One of the reasons was robust backup and recovery options available in the Oracle database, which provide zero data loss. A transactional database like Oracle is a better fit for our use case than NoSQL. On a large scale, deployment was evaluated as a cheaper option than the NoSQL engine. This conclusion came even after considering Oracle license is expensive.
I think if you have a large organization, it's probably the product and the marketplace to go to. We're a large management consulting firm operating in four to seven countries. And generally speaking, I think that's the size and the scope where it scales best. I can't speak to smaller companies, but I can't see smaller companies leveraging the benefits as much as a larger organization can.
Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information.
Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data.
Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions.
Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
Lack of clarity on licensing is one major challenge
Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4
There is a lot of sunk cost in a product like Oracle 12c. It is doing a great job, it would not provide us much benefit to switch to another product even if it did the same thing due to the work involved in making such a switch. It would not be cost effective.
We would rate our likelihood of renewing at 9/10. SAP HANA Cloud has proven to be a highly reliable and scalable data platform that consistently delivers strong performance. Its seamless integration with our overall SAP landscape, combined with improved analytics and real-time data capabilities, makes it a core part of our long-term technology strategy.
Many of the powerful options can be auto-configured but there are still many things to take into account at the moment of installing and configuring an Oracle Database, compared with SQL Server or other databases. At the same time, that extra complexity allows for detailed configuration and guarantees performance, scalability, availability and security.
It is very useful solution which provides you speedier data processing, real-time analytics. It helps you manage diverse data types. It also offers you excellent disaster management. It has user friendly interface which helps you navigate system and transactions easily and perform task smoothly.
I would rate SAP HANA Cloud’s availability as an 8 out of 10. In general, the platform is available when we need it and provides a reliable cloud environment for our data, reporting, and integration use cases.We have not experienced availability as one of the main issues compared with areas like configuration, troubleshooting, or support response quality. However, I would not rate it a 10 because, like any cloud platform, availability can still be affected by occasional service issues, application errors, maintenance windows, or dependencies with connected systems.Overall, SAP HANA Cloud has been reliable for our needs, but continuous monitoring and clear communication around incidents or maintenance are still important.
I would rate SAP HANA Cloud’s performance as an 8 out of 10. In general, performance is strong and reports usually complete in a reasonable time frame, especially when the data models, queries, and calculation views are well designed.The platform handles large data volumes well and supports fast analytics for many enterprise scenarios. It also works effectively with connected systems when the integrations are properly configured.I would not rate it a 10 because performance can depend heavily on architecture, query design, data volume, custom code, and integration complexity. In some cases, complex reports, large datasets, or custom logic require additional tuning and testing to avoid slow response times or delays in connected processes.
1. I have very good experience with Oracle Database support team. Oracle support team has pool of talented Oracle Analyst resources in different regions. To name a few regions - EMEA, Asia, USA(EST, MST, PST), Australia. Their support staffs are very supportive, well trained, and customer focused. Whenever I open Oracle Sev1 SR(service request), I always get prompt update on my case timely. 2. Oracle has zoom call and chat session option linked to Oracle SR. Whenever you are in Oracle portal - you can chat with the Oracle Analyst who is working on your case. You can request for Oracle zoom call thru which you can share the your problem server screen in no time. This is very nice as it saves lot of time and energy in case you have to follow up with oracle support for your case. 3.Oracle has excellent knowledge base in which all the customer databases critical problems and their solutions are well documented. It is very easy to follow without consulting to support team at first.
However, I am not the right person to answer this as we have another department to handle support and contact the service provider for any support required. Although i will say that they are the quick respondent and knows how to handle querry of the customers and provide quick and better support.
I would rate the online training as an 8 out of 10. The training materials are generally useful, well-structured, and helpful for understanding the main capabilities of SAP HANA Cloud, including data modeling, administration, integration, and analytics.The content is especially valuable for building a foundation and learning the standard features of the platform. However, I would not rate it a 10 because some advanced or real-world scenarios, such as complex integrations, troubleshooting, performance tuning, and custom code, could benefit from more practical examples and deeper technical guidance.Overall, the online training is strong, but it could be improved with more hands-on exercises and more examples based on enterprise implementation scenarios.
Overall the implementation went very well and after that everything came out as expected - in terms of performance and scalability. People should always install and upgrade a stable version for production with the latest patch set updates, test properly as much as possible, and should have a backup plan if anything unexpected happens
would rate our satisfaction with the implementation as a 6 out of 10. The implementation was completed and the solution provides value, but the process was more complex and time-consuming than expected.The main challenges were related to technical configuration, integrations, permissions, and troubleshooting. In some cases, getting clear answers or resolving issues required several iterations, which slowed down the implementation.Overall, the final result is useful, but the implementation experience could have been better with clearer documentation, more straightforward configuration steps, and more effective support during the process.
Because of a rich user base and support for any critical issue, this is one of the best options to choose. In case the project has a TCO issue, it can compromise and choose Postgres as the best alternative. SQL server is also good and easy to code and maintain but performance is not as good as the Oracle
I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.
I would rate the contract terms and pricing structure for SAP HANA Cloud as a 7 out of 10. Overall, the pricing model is reasonable for an enterprise cloud platform, especially considering the scalability, integration capabilities, and performance benefits it provides.However, there are some aspects we would improve. The pricing model could be more transparent and easier to predict, especially when usage grows across multiple departments, data volumes increase, or additional capacity is required. It would also be helpful to have clearer guidance on how configuration, storage, compute, and scaling decisions affect overall cost.If we could change anything, we would prefer simpler pricing, more predictable billing, and more flexibility to adjust capacity without creating unexpected cost increases.
I would rate SAP HANA Cloud’s overall scalability as an 8 out of 10. The product provides strong scalability for enterprise scenarios, especially when it needs to support multiple departments, growing data volumes, and more complex analytics or integration requirements.The cloud-based architecture makes it easier to expand capacity compared with traditional on-premise environments, and it gives the organization flexibility as usage increases across different teams or locations.I would not rate it a 10 because scalability still depends heavily on good architecture, correct configuration, performance tuning, and cost control. As the environment grows, it is important to monitor resource consumption, optimize queries and data models, and make sure the solution is designed properly to avoid performance or cost issues.
I would rate the professional services for SAP HANA Cloud as a 6 out of 10. The professional services were helpful in moving the implementation forward and provided useful knowledge around the platform, configuration, and technical setup.However, the experience was not perfect. Some areas, such as complex integrations, custom code, permissions, performance tuning, and troubleshooting, required more effort and follow-up than expected. In some cases, we would have benefited from clearer guidance, more practical recommendations, and faster resolution of technical questions.Overall, the professional services added value, but there is room for improvement in terms of proactivity, hands-on support, and helping customers handle complex real-world implementation scenarios.
