Couchbase is a distributed NoSQL database platform that combines a JSON document store with a high-performance In-Memory architecture. The solution is designed to support high-throughput applications by integrating multiple data services—including Key-Value, Full-Text Search (FTS), Vector Search, and Real-Time Analytics—within a single unified platform.
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SAP HANA Cloud
Score 8.9 out of 10
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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.
As SAP HANA is an in-memory database, it can process data swiftly and can provide detailed analysis reports compared to other tools. Another advantage is it supports different data types, so if any application is looking for scalability, performance, security, and risk …
Best suited when edge devices have interrupted internet connection. And Couchbase provides reliable data transfer. If used for attachment Couchbase has a very poor offering. A hard limit of 20 MB is not okay. They have the best conflict resolution but not so great query language on Couchbase lite.
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.
The N1QL engine performs poorly compared to SQL engines due to the number of interactions needed, so if your use case involves the need for a lot of SQL-like query activity as opposed to the direct fetch of data in the form of a key/value map you may want to consider a RDBMS that has support for json data types so that you can more easily mix the use of relational and non-relational approaches to data access.
You have to be careful when using multiple capabilities (e.g. transactions with Sync Gateway) as you will typically run into problems where one technology may not operate correctly in combination with another.
There are quality problems with some newly released features, so be careful with being an early adopter unless you really need the capability. We somewhat desperately adopted the use of transactions, but went through multiple bughunt cycles with Couchbase working the kinks out.
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
I rarely actually use Couchbase Server, I just stay up-to-date with the features that it provides. However, when the need arises for a NoSQL datastore, then I will strongly consider it as an option
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.
Couchbase has been quite a usable for our implementation. We had similar experience with our previous "trial" implementation, however it was short lived.
Couchbase has so far exceeded expectation. Our implementation team is more confident than ever before.
When we are Live for more than 6 months, I'm hoping to enhance this rating.
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.
One of Couchbase’s greatest assets is its performance with large datasets. Properly set up with well-sized clusters, it is also highly reliable and scalable. User management could be better though, and security often feels like an afterthought. Couchbase has improved tremendously since we started using it, so I am sure that these issues will be ironed out.
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.
I haven't had many opportunities to request support, I will look forward to better the rating. We have technical development and integration team who reach out directly to TAM at Couchbase.
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.
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.
The Apache Cassandra was one type of product used in our company for a couple of use-cases. The Aerospike is something we [analyzed] not so long time ago as an interesting alternative, due to its performance characteristics. The Oracle Coherence was and is still being used for [the] distributed caching use-case, but it will be replaced eventually by Couchbase. Though each of these products [has] its own strengths and weaknesses, we prefer sticking to Couchbase because of [the] experience we have with this product and because it is cost-effective for our organization.
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.
So far, the way that we mange and upgrade our clusters has be very smooth. It works like a dream when we use it in concert with AWS and their EC2 machines. Having access to powerful instances along side the Couchbase interface is amazing and allows us to do rebalances or maintenance without a worry
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.
