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.
N/A
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
IBM cloudant documentation is very easy to understand and because of that the implementation is also very easy. We found some difficulties in case of aws documents implementation. Performance of the cloudant database is also high as compare to the other databases. Indexing and …
I like [the] ease of use of Cloudant. Redis and Fauna have time to live features so for caching and temp data that is what I use along with messaging queues.
MongoDB Atlas and Azure Cosmos DB are the closest competitors we found with Cloudant, especially in terms of fixed pricing and having a GUI for easy viewing and quick edits of data. Cloudant's pricing model flat out beats MongoDB Atlas' in terms of how easy it would be to …
IBM Cloudant is great for quick deployment and configs of a database service, especially when it comes to rapid prototyping. In a research capacity, we need to spin up web services and run experiments quickly. IBM Cloudant is a fuss-free database service [that] aids in this …
The gap that we wanted to cover was to deploy a self-managed CouchDB environment, which would allow us the bidirectional replication of Databases through several physical locations of the same client. IBM Cloudant was the best choice after evaluating some other platforms with …
MS SQl is more specific to relational data. Overall, it is more mature with a more feature-filled interface, user access management, and tools to manage data.
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, …
I have mainly used Cloudant as I work with IBM Cloud in my role and therefore it was easiest (and cheapest) to set up for the small scale prototypes we are building. (Which do however sometimes lead to scaled implementation)
IBM Cloudant DB is backed by CouchDB and that too hosted on IBM Cloud is the key. Concurrency and durability is the key here. In-memory capabilities are non-existent on the IBM Cloudant DB.
We chose Cloudant because it was fully managed and used in the marketplace, unlike MongoDB was at the time, and it supported JSON which SQL Server 2016 didn't.
It's easier to use than Dynamo, more open than Firebase, and has better documentation that CouchDB... it might not be fair to compare Modulus, Modulus obviously suffers from some scalability issues and might not be in the same class... but its a hosted DB service we had some …
All other NoSQL document-centric DB must be installed on premise on in the cloud as complicated clusters. The "as a service" formula and the open source origin were the same reasons for Cloudant choice, freeing us of all system and administration tasks!
Cloudant is a database as a service with a strong support team. The feature set is comparable to other solutions but not all are managed services, or have easy scalability, or can demonstrate production level reliability and performance.
We used to host CouchDB ourselves, but moved to BigCouch at first for scalability and then to Cloudant to reduce the maintenance overheads. We use Elasticsearch alongside Cloudant these days, since _changes streams make it easy to feed data from Cloudant into Elasticsearch. …
Cloudant blows all of the other competitors out of the water. The robust UI, the scalability, the management console, these are all reasons why Cloudant is a superior product to any of these "competitors". Cloudant is head and shoulders above the rest. It was a pleasure to …
I've even worked with Cassandra, but I found Cloudant to be much simpler, easier, neat and efficient. Cassandra was not highly scalable but Cloudant was much efficient in it. Even the Monitoring and other scripts were pre-built which made it much time efficient for us.
I chose Cloudant because they had the best low end traffic prices while still providing room for pay as you need it scalability. I had an Amazon EC2 instance for a few years and I had to pay so much for it even though it hardly had any traffic. Being connected to IBM helped me …
It enables preview and better cloud service than other cloud platforms. Easy document transfer and faster document transfer are the key points for the selection of the HANA cloud server. The preview of data before its execution is also one of the factors in the selection of the …
Multiple things as SAP HANA Cloud is used to handle large volumes of data with smooth use of different data types, including great real-time data storage.
The main reason is purely HANA database performance, and it supports both row and column store data. And the way optimization is running behind the schedule is another added benefit.
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 …
One area where SAP HANA Cloud stood out for us is in its support for real-time analytics on live transactional data. As a business that relies on up-to-date information to make critical decisions, this capability was essential for us. We found that SAP Analytics Cloud was more …
Both SAP Cloud Platform and Oracle Cloud Platform provide the API management, data and application integration, using real-time insights to develop and deploy integrate applications, but SAP proved more beneficial for our firm and was mostly a decision taken by management.
Earlier, the cloud-based database of azure was being used, and since it is also a cloud-based database solving all the analytical problems but once using Sap Hana, it seems to be more modern type problem solving and highly secure and highly user-friendly, solving a lot of …
The reason remains the same , The dataflow between SAP application works seamlessly with SAP HANA cloud . The in memory capability really helps here a lot to make the reports run faster . Where as the other database engines that doesn't have the in-memory capability.
In any software selection process, considering all options is critical to ensuring the best system is selected.It's even true for top-tier products like S/4HANA, SAP's newest ERP platform. For larger, more complex global organizations, an enterprise-class option from SAP may …
SAP HANA Cloud allows for more advanced custom developments compared to comparable solutions build in the Business Warehouse. SAP BW, on the other hand, still has far more build in tools, like system monitoring, delta loading, advanced scheduling, and other data loading …
IBM Cloudant is the best implementation of CouchDB, or any NoSQL database that you could use if you are looking for a database that can handle extremely rapid writes to a database without having to worry about transactional integrity. IBM Cloudant also abstracts out CouchDB's replication/multi-node requirements and ensures high availability on its own. It also allows map-reduce based indexing which will allow massive databases to be aggregated and queried very quickly. It should not be used in cases where you require structured data which is organized according to a schema, or if you want to maintain ACID database properties.
SAP HANA Cloud works effectively with SMBs or small to medium-sized enterprises and requires an affordable, scalable ERP system. Companies that must implement SAP S/4 HANA as soon as possible. Companies looking to take advantage of the newest innovation from SAP are looking to cut expenses on their IT infrastructure. SAP HANA CLOUD is not suitable for 1. Large companies with intricate operational procedures. 2. Companies with stringent policies regarding data residency. 3. Businesses with a sizable SAP landscape on premises 4. Companies must closely integrate SAP HANA CLOUD with non-SAP systems.
We had a small data mart project that required the storage of some rather highly connected data that also had a relatively small footprint. This made IBM Cloudant an obvious choice because we could store the data in a data structure that met our project need al while using a platform that our web development team understood and was comfortable with.
We had a bunch of geospatial data that we needed for analysis. Having GeoJSON being natively supported by Cloudant made it an easy choice.
Cloudant was cloud-based and didn't require a DBA support it, this allowed the project to move ahead without pushback from the infrastructure team.
To have a sort of LUW - Logical Unit Work when many documents are involved into a single update process. The changing of one document is related to its status information but it must be synchronized with all the other documents involved in the process.
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
At this moment we are not focusing on SAP, however would love to in the future. This is primarily because of our limited ability to generate more revenue to fund for SAP partnerships and products. Our initial tryst with SAP Partneredge open ecosystem didn't go as planned and we have shelved that for now. Hope we can revive in the future
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.
SAP HANA Cloud requires significant expertise on technical side to admin and manage it.It surely is lot of improvement over previous versions of SAPThe modern, role-based SAP Fiori interface has enhanced the user experience for applications like S/4HANA, though the complexity of the underlying database remains. For the average business user, the usability of SAP solutions running on the HANA database has seen a major transformation, largely thanks to the Fiori user interface.
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.
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.
One specific example of how the support for SAP HANA Cloud impacted us is in our efforts to troubleshoot and resolve technical issues. Whenever we encountered an issue or had a question, the support team was quick to respond and provided us with clear and actionable guidance. This helped us avoid downtime and keep our analytics operations running smoothly.
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
Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.
MongoDB Atlas and Azure Cosmos DB are the closest competitors we found with Cloudant, especially in terms of fixed pricing and having a GUI for easy viewing and quick edits of data. Cloudant's pricing model flat out beats MongoDB Atlas' in terms of how easy it would be to predict costs. Cosmos DB is a much closer competitor, as it integrates well with Azure's stack similarly to Cloudant and the rest of the IBM Cloud stack; similar [throughout]-based pricing and replication options; and even the GUI and ease of query using SQL, which my team and I were more familiar with. Where Cloudant beats out Cosmos DB is again having a more simple pricing model (ops/sec vs Cosmos' "request units" voodoo) and being based on open-source software assuaging fears of vendor lock-in.
It enables preview and better cloud service than other cloud platforms. Easy document transfer and faster document transfer are the key points for the selection of the HANA cloud server. The preview of data before its execution is also one of the factors in the selection of the HANA server.
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.
Saving in-terms of cost of procuring and maintaining hardware, which will be realized over the next 5 years.
Positive ROI in terms of the number of FTEs involved in maintaining our databases; our DBAs can now focus on other important and business critical applications.
Best ROI in terms of our organization's vision - they are no longer anxious / nervous to move to the cloud. We are already on the CLOUD.