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
Pricing
IBM Cloudant
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 documentation of Cloudant alone has made it my database service of choice. With MongoDB you have to manage hardware, sharding, networking... Cloudant takes all the hassle out of storage allowing you to focus on more important tasks.
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, …
Cloudant is a hosted solution so it works better for me. Also, it includes a better authentication layer than CouchDB. As for Couchbase, it has membase but the hosted options are much more expensive. In the SQL world, I tried several sync solutions but the configuration and …
Cloudant stacks up very well especially since it can perform multiple functions - primarily a noSQL schema-less data base but when integrated with an MDM solution (master data management) it can also do caching services efficiently and can also be used as a graph data base. …
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!