You can store data in this database
You can create Partitioned and Non-Partitioned Database
You can store the data as a document in it as a key-value pair
You can use IBM serverless function to interact with it like you can perform CRUD Operation and then you can use the API endpoint in your application to make an HTTP request to the serverless function
You can also directly use Cloudant using javascript and python Cloudant package inside your Application
It is fast
It is easy to use Review collected by and hosted on G2.com.
It is necessary to reduce the time it takes IBM Cloudant to index large datasets, especially since database volumes are growing rapidly. Review collected by and hosted on G2.com.
Easy to deploy and monitor applications with continuos delivery with the help of IBM cloudant.
Helps in auto scaling and understands the usage of resources smartly. Review collected by and hosted on G2.com.
Doesn't have records in the dashboarding layout and cannot be downloading in multiple formats.
It takes time to have the large data sets matched and the volume might increase on a daily basis. Review collected by and hosted on G2.com.
Setting up databases in IBM Cloudant is fast and easy.
Most of the CouchDB API is implemented.
Cloudant is likely the best CouchDB replacement on the market. It is compatible with PouchDB and other CouchDB clients. Review collected by and hosted on G2.com.
The documentation could be more detailed. Some features are not described at all.
Functions pertaining local couch documents are not available. For example, you cant list local documents. Review collected by and hosted on G2.com.
The best thing about IBM Cloudant is the peace of mind that comes from knowing that our data is safe, geographically near where it will be accessed, and is being professionally maintained/monitored by qualified data engineers who know their stuff and who can alert you to any issues that arise. Review collected by and hosted on G2.com.
As far as I can tell, there are no downsides! Review collected by and hosted on G2.com.
For our customer, we needed to develop a complete cloud solution. We needed a database, but SQL DB was too strict about performing our goals.
After spent a little bit of time in R&D, we decided to adopt cloudant.
IBM provides a complete managed service, so you not have to care about configuration.
Despite SQL DB, you did not have to manage a strict data structure, but you are free to customize data structure according to your requirements.
GUI is straightforward. Just a few clicks and you can begin to work.
IBM also manages replica so that you can build a very reliable solution into the cloud.
Forget zero downtime.
You can also find very complete documentation on the IBM cloud. Many examples explain what you could do and how you could do
IBM provides several SDK so you can build solutions using node js, java, etc.
There is also an online navigator which allows you to explore your data. You don't need third part tools to connect to cloudant .You can do everything in your browser Review collected by and hosted on G2.com.
There is not something disliked, but i spent a little bit of time understanding the price model. I had some difficulty comprehending the query price plan.
Consider every customer wants to know "how much cost it" before starting.
Many times i had to read couch DB documentation to learn something.
Cloudant doc is quite complete, but many times i had to search information using couch DB documentation Review collected by and hosted on G2.com.
It is extremely simple to create an instance and get it running.
Therefore, the effort required to develop a scalable, performant application or proof of concept can shrink significantly.
On top of that, Cloudant provides some capabilities that distinguish the product in the no-SQL landscape, such as full-text search and geospatial queries. Review collected by and hosted on G2.com.
The creation of complex queries can be a difficult task at first, especially in an environment more used to relational databases and SQL editors/sytax.
When the complexity of the project increases, more attention must be paid in the writing and maintenance of less obvious views.
Another drawback may be represented by a combination of cost and fit to the use case.
It may be stated that Cloudant is more expensive than other no-SQL solutions. I personally disagree with this statement, in the sense that Cloudant provides several features (both functional and non-functional) that contribute to its cost.
Nevertheless, if the use case does not benefit from any Cloudant's specific capabilities, then comparable results for the customers may be achieved with other, generally less expensive options. Review collected by and hosted on G2.com.
Works really well in combination with other IBM services like openwhisk however it is very easy to use same with Aws services like lambda with help from @cloudant nmp package. Review collected by and hosted on G2.com.
It takes a bit of time to get used with it’s indexing and querying feature. Review collected by and hosted on G2.com.
The one thing that I personally noticed about Cloudant is its not only a best choice for a NoSQL database but also an ideal fit for applications that handles geo-coordinates. For example, USGS applications. Review collected by and hosted on G2.com.
This isn't something about the database itself. There could've been better video content made available for the users. Review collected by and hosted on G2.com.
The best thing I liked about Cloudant was the easy navigations and the ease with which I could pull out the data. Review collected by and hosted on G2.com.
One thing which I didn't like was that anyone with the credentials could make changes to the database. May be there should be some version control inside of Cloudant where a manager or admin can only approve the changes, if at all required. Review collected by and hosted on G2.com.