Cloudant is an open source non-relational, distributed database service that requires zero-configuration. It's based on the Apache-backed CouchDB project and the creator of the open source BigCouch project.
Cloudant's service provides integrated data management, search, and analytics engine designed for web applications. Cloudant scales your database on the CouchDB framework and provides hosting, administrative tools, analytics and commercial support for CouchDB and BigCouch.
Cloudant is often…
$1
per month per GB of storage above the included 20 GB
SAP HANA Cloud
Score 8.9 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.
$0.95
per month Capacity Units
Pricing
IBM Cloudant
SAP HANA Cloud
Editions & Modules
Standard
$1
per month per GB of storage above the included 20 GB
Standard
$75
per month 100 reads/second ; 50 writes/second ; 5 global queries/second
Lite
Free
20 reads/second ; 10 writes/second ; 5 global queries / second ; 1 GB of storage capacity
Our organization found Cloudant most suitable if One, a fixed pricing structure would make the most sense, for example in a situation where the project Cloudant is being used in makes its revenue in procurement or fixed retainer — thus the predictability of costs is paramount; Two, where you need to frequently edit the data and/or share access to the query engine to non-engineers — this is where the GUI shines.
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
the flexibility of NoSQL allow us to modify and upgrade our apps very fast and in a convenient way. Having the solution hosted by IBM is also giving us the chance to focus on features and the improvement of our apps. It's one thing less to be worried about
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.
It's mostly just a straight forward API to a data store. I knock one off for the full text search thing, but I don't need it much anyways. Also, the dashboard UI they give is pretty nice to use. It provides syntax-highlighting for writing views and queries are easy to test. I wish other DBs had a UI like this.
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.
it is a highly available solution in the IBM cloud portfolio and hence we have never had any issues with the data base being available - we also do continuous replication to be on the safer side just in case some thing goes awry. We also perform twice a year disaster recovery tests.
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.
very easy to get started and is very developer friendly given that it uses couchDB analytics. It is a cloud based solution and hence there is no hardware investment in a server and staging the server to get started and the associated delays/bureaucracy involved to get started. Good documentation is also available.
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.
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.
online resources are good enough to understand but there is nothing like testing. In our case, we discovered some not documented behavior that we take in count now. Also, the experience in NodeJs is critical. Also, take in count that most of the "good practices" with cloudant are not in online courses but in blogs and pages from independent developers
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 feature-set, including security, is very comparable. Overall, IBM's services added to the product are mature and stable, although product support and engineers could be a little better. Global availability is improving, and Disaster Recover Capabilities are great. Overall, it's very comparable to MongoDB as a DBaaS offer, available globally and with great documentation.
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.
The service scales incredibly well. As you would expect from CloudDB and IBM combination. The only reason I wouldn't score it a 10 is the fact that document trees can get nested and nested very quickly if you are attempting to do very complex datasets. Which makes your code that much more complex to deal. Its very possible we could find a solution to this problem with better database planning to begin with, but one of the reasons we chose a service over a self-hosted solution was so we could set it up quick and forget about it. So we weren't going to dedicate a team to architecture optimization.
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.
