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
IBM Cloud Object Storage
Score 8.8 out of 10
N/A
IBM Cloud Object Storage is an IBM Cloud product in the endpoint backup and IaaS categories. It is commonly used for data archiving and backup, for web and mobile applications, and as scalable, persistent storage for analytics.
N/A
Pricing
IBM Cloudant
IBM Cloud Object Storage
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
Standard
Included
per month 20 GB of storage
Lite Plan
Free
Up to 25 GB/mo. For all terms go to https://www.ibm.com/cloud/object-storage
Standard Plan
There is no minimum fee, pay only for what you use
For pricing and all terms go to https://www.ibm.com/cloud/object-storage
Offerings
Pricing Offerings
IBM Cloudant
IBM Cloud Object Storage
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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The Lite and Standard service plans for Cloud Object Storage include resiliency options, flexible data classes and built-in security. Pricing is based on the choice of location, storage class and resiliency choice.
I have made use of IBM Cloudant which i have use to store record which is NOSQL database. Also, make use IBM Cloud Foundry to host ReactJs( Single Page Application) and static web page . I have also make use of toolchain which i use to implement continuous integration when i …
I would like to like to draw the parallels between IBM Watson Studio (which makes use of IBM Cloud Object Storage) and Anaconda distribution for people with Educational/Research Perspective. The IBM Watson Studio allows to run Jupyter Notebooks Online whereas Anaconda requires …
We often decide to choose IBM Cloud Object Storage because some customers already have the IBM Cloud suite, which makes it easy to use the service. In some cases it may present cost savings for some projects that are developed with other IBM services.
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.
IBM Cloud Object Storage is well suited for businesses that require scalable and cost-effective data storage solutions. It excels in scenarios involving massive unstructured data, like multimedia content, backups, and archives. However, it may be less appropriate for organizations with minimal storage needs or those requiring high-performance, low-latency access to data, as it's optimized for durability and data integrity rather than real-time data retrieval.
Cloud storage allows you to save data and files in an off-site location that you access either through the public internet or a dedicated private network connection.
Cloud storage delivers a cost-effective, scalable alternative to storing files on on-premise hard drives or storage networks.
Cloud storage services provide elasticity, which means you can scale capacity as your data volumes increase or dial down capacity if necessary.
Business continuity of Storing data offsite supports business continuity in the event that a natural disaster or terrorist attack cuts access to your premises.
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
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.
For my use cases, it has been a very smooth experience. Even my new colleagues have been able to get on top of things very quickly. This shows how easy it is to work with
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.
I have been working in IT sector for more than 15 years. I have worked with various vendors. IBM's sales team, support team have been really helpful. After we start to use their product, their UX design team also contacted us to get feedback from us. They are really interested about our experience.
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 just researching and applying the tools on their platforms to ensure a good learning path, based on my needs. Reading the documentation related with resources, tools. Is too big, but I am trying to know more about it every day. It is a good way to know more about their resources. A new way to attract new customers. At the end of the day, we are all involved in improvement and automation of our tasks and resources for customers and end-users.
IBM's professional service for migrating data and implementing new cloud environment was perfect. They started to help us before we begin to bring together all data such as how can it could be best to transfer all data without problems. During the migration they watched all the process closely to prevent any failure. Lastly, after the migration, they gave us trainings on implementation.
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.
Amazon S3 is a great service to safely back up your data where redundancy is guaranteed, and the cost is fair. In the past I have used Amazon S3 for data that we backup and hope we never need to access, but in the case of a catastrophic or even small slip of the finger with the delete command, we know our data and our client's data is safely backed up by Amazon S3. Amazon S3 service is a good option, but based on the features it provides compared with IBM Cloud Object Storage, it is less suitable. IBM Cloud Object Storage is also integrated with more services, like IBM Cloud SQL and IBM Aspera, which AWS does not provide to transfer files at maximum speed in the world.
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.
This allows us to recommend a platform to our clients that will quickly help them create new, efficient business processes with very little development.
This saves clients hours and days of manual analysis of images, allowing the system to do the work when attaching Object Storage to models.
There is a learning curve in utilizing the storage and the modeling, but once up and running, it works well during deployment.
