TrustRadius Insights for IBM Cloudant are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Efficient Data Retrieval: Users have highlighted the ease of retrieving data for analysis as a key benefit, with many stating its importance. Reliable and Speedy Updates: Customers value staying updated with market changes due to the tool's reliability and speed, as mentioned by multiple reviewers. Excellent Customer Service: The efficient response time for bi-directional syncs and valuable statistics provided by Cloudant are appreciated by users in terms of decision-making. Smooth Integration Process: Users find the integration with Cloud Functions and a GUI designed for non-engineers positively mentioned, indicating its user-friendly approach. Advanced Data Storage Capabilities: Users praise the tool's indexing and data storage capabilities, emphasizing their satisfaction with this aspect of the service.
I think for now it works great I think it can scale further than it already has with the outstanding company IBM is and how much it means to the world as other things with time it should grow!
Likelihood to Recommend
It’s really great for mobile developers and the development they do and also web based development as well! It makes it easier to get the job done and that’s convenient for time but not only that it’s great for the continued growth all around as businesses strive to be better for the consumer each and every day!
I recommend everyone who evaluated ibm cloudant in the past years since the cloudant aquisition and decided against it due to reliability and maturity of ibm cloud to revisit cloudant. For the last 2 years I can say nothing but positives about the experience and i moved all in-house couchDB and document database hosting to ibm without any issues at all. As a sidenote i was pleasantly surprised by the quality of the fulltext and faceting features of cloudant and even have some workloads handled by cloudant that i previously fullfilled with a separate elastic search installation. This was planned as an intermediate solution but cloudant search worked so well, that it is now a standard part of our solution stack.
Pros
sync data with multi master setups and offline capable clients
schema-less document storage
subscription and reactivity to changing data
Cons
ibm cloud billing is still a bit strict and inflexible for some markets and credit card providers, i needed to verify my company and the process could have been nicer.
Likelihood to Recommend
perfect for schema-less document needs especially if accessing via http anyways, irreplaceable as soon as multi master or local first (eg. latency critical) clients come into the mix!
high performance/ latency critical joins that cannot be implemented with denormalized data are better done in other systems.
cloudant search does not provide all features of elastic search and can get a bit pricey for many concurrent global quieries that dont work partitioned.
I used the ibm cloudant database to store the data, actually i want to store the data in nosql and cloudant is a no sql database, So its resoved my data storage issue. We can create n number of collection in a single data base and can access seperately to fulfill the purpose.
Pros
Filter by indexing
Data storage
Nosql
Cons
In schema prepration
Indexing to filter
Tabular view of stored data
Likelihood to Recommend
It's very easy to implement the IBM cloud and database in the rest API we can also view the data in the form of table. We can also create the query on the IBM cloudant panel to use in our program that provide a very easy way to developer software in iffective time frame.
I use Cloudant like I use Couchdb. Each user has a database and I like the ease of use with authentication as well as falling back on Couchdb defaults if wanting to do so. I deal with real-time wait data and use pouchdb to handle my front end.
Pros
Ease of use coming from Couchdb - views, indexes, auth, revisions
Uptime has been excellent
Replication with ease
Cons
Better branding - People not used to using IBM services don’t know that Cloudant [was] built around Couchdb.
Documentation can be done a bit more organized (some are very old) and do share more of [the] fallback features that Couchdb supplies and what is offered too. I have to sometimes look deep to find out things like fallback auth to use Couchdb auth users for example. Simple stuff.
I honestly over time have really no other issues and they aren’t anything extensive since I know Couchdb well.
I [have] been happy so far.
Likelihood to Recommend
I work in Erlang stack so Couchdb and Rabbitmq are my go-to tech stack. In this area, I highly recommend [it], it is easy.
We used the IBM Cloudant in two scenarios: One, for a simple place to persist text to be displayed in a chatbot that played nicely with the rest of our IBM Cloud stack, particularly with IBM Cloud Functions; and the other, a database with a simple enough query language for non-engineers to learn — which should also work nicely with IBM Cloud Functions and have a built-in, easy to use GUI
Pros
Integration with Cloud Functions
Included GUI for non-engineers
Fixed, throughput/expected use-based pricing
Cons
Better documentation
Expensive pricing for very small projects
Better tabular views
Likelihood to Recommend
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.
Our department uses IBM Cloudant as a distributed NoSQL database solution for web-based applications. IBM Cloudant allows rapid writes of unstructured JSON data received on a second-by-second basis also it is NoSQL so it is not required to take care of [the] schema of the table application. It also allows effective use of map-reduce to aggregate results out of collections defined within IBM Cloudant databases, allowing for millions of records to be aggregated and used effectively for analytics and reporting.
Pros
IBM Cloudant allows rapid writes of unstructured JSON data received on a second-by-second basis.
It also allows effective use of map-reduce to aggregate results out of collections defined within IBM Cloudant databases, allowing for millions of records to be aggregated and used effectively for analytics and reporting.
Simple and straight forward to use and embed into the application.
Cons
Limited support/documentation for programming languages such as Python, Perl, and R.
Time to index large databases needs to be improved.
Likelihood to Recommend
IBM Cloudant is useful when some applications require [a] powerful NoSQL database where performance analytics is the key to business. It will be less appropriate where storage sizes of [an] application [are] huge as pricing on storage sizes as database size increases exponentially.
Our organization uses IBM Cloudant as a distributed NoSQL database solution for implementation on client applications in the Internet of Things space. IBM Cloudant allows rapid writes of unstructured JSON data received from IoT devices on a second-by-second basis. It also allows effective use of map-reduce to aggregate results out of collections defined by within IBM Cloudant databases, allowing for millions of records to be aggregated and used effectively for analytics and reporting.
Pros
Rapid writes
Map reduce
High storage capacity
High availability
Cons
Time to index large databases needs to be improved
Could use more structure in terms of separating entities within a database
Better pricing on storage sizes as database size increases exponentially
Likelihood to Recommend
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.
We use IBM Cloudant for the hospital mobile health application. We also use IBM Cloudant as our primary database backup system and I can say everything has been working well. The IBM Cloudant uptime and search features are what make it best as our database backup system. IBM Cloudant delivers high-level service.
Pros
Perfect query interface
Great uptime
The support team is amazing
Great documentation
Easy setup
Cons
Less IBM Cloudant database management features
The analytic reports seems off to me
Downloading data from IBM Cloudant [I feel] can sometimes be a painful process.
Likelihood to Recommend
A good scenario where IBM Cloudant is irresistible is when you are an international company and have web and mobile-based applications - accessing data will be easy thanks to the global availability of IBM Cloudant. It will be easy to connect to the closest data center.
Another scenario is where you have mobile and web-based apps and/or want to have a data backup system - IBM Cloudant works perfectly well.
IBM Cloudant is used to have a central repository of clients' databases to which information generated in different branches that have local Couchdb deployments arrivals. In this way, we manage to have the data synchronized in all of them through continuous replication.
Pros
The response time for bi-directional syncs with the Couchdb engine is excellent.
The statistics provided by Cloudant allow us to make decisions about the implementation of new features or improvements over existing ones in future versions of our software, allowing us to continuously optimize processes.
Cons
Improvement in the documentation of some client libraries, such as the Cloudant library for Java.
Likelihood to Recommend
The deployment for bidirectional replications in the database through Cloudant is the scenario that we have used the most and with which we are very satisfied.