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.
Read full review Your upcoming app can be built faster on a fully managed SQL database and can be moved into Azure with a few to no application code changes. Flexible and responsive server less computing and Hyperscale storage can cope with your changing requirements and one of the main benefits is the reduction in costs, which is noticeable.
Read full review Pros For us, performance and scalability is the key, and Cloudant DB backed by CouchDB is scalable and performant. IBM Cloudant dB is very easy to provision for sandbox, development, QA as well as production. Support for Java for CouchDB app server analytics enables a greater control for over developers. Schema free oriented very easy to program and build applications on it. We love it!! Read full review Maintenance is always an issue, so using a cloud solution saves a lot of trouble. On premise solutions always suffer from fragmented implementations here and there, where several "dba's" keep track of security and maintenance. With a cloud database it's much easier to keep a central overview. Security options in SQL database are next level... data masking, hiding sensitive data where always neglected on premise, whereas you'll get this automatically in the cloud. Read full review Cons It was only after we went with the cloud-based solution that IBM rolled out an on-premise version. We found that a 3rd-party ODBC driver was required for a few applications that needed to pull data out of Cloudant. The sales process was difficult because the salesperson we used was not as versed on Cloudant as I had hoped. Read full review One needs to be aware that some T-SQL features are simply not available. The programmatic access to server, trace flags, hardware from within Azure SQL Database is taken away (for a good reason). No SQL Agent so your jobs need to be orchestrated differently. The maximum concurrent logins maybe an unexpected problem. Sudden disconnects. The developers and admin must study the capacity and tier usage limits https://docs.microsoft.com/en-us/azure/azure-subscription-service-limits otherwise some errors or even transaction aborts never seen before can occur. Only one Latin Collation choice. There is no way to debug T-SQL ( a big drawback in my point of view). Read full review Likelihood to Renew 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
Read full review This is best solution as a DBA one could expect from a service provider and as a cloud service, it removes all your hassles.
Read full review Usability 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.
Read full review Reliability and Availability 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.
Read full review Performance 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.
Read full review Support Rating Very happy by the commitment given by the team which has been really good over the last 7 years of usage.
Read full review We give the support a high rating simply because every time we've had issues or questions, representatives were in contact with us quickly. Without fail, our issues/questions were handled in a timely matter. That kind of response is integral when client data integrity and availability is in question. There is also a wealth of documentation for resolving issues on your own.
Read full review Online Training 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
Read full review Implementation Rating Test the architecture on CouchDB helped us to address initial design flaws. The migration to Cloudant as such was very painless. We have migrate our replication system to Cloudant Android Sync for mobile devices. We have regular informal contact with the Cloudant leadership to discuss our use cases and implementation strategies. Read full review Alternatives Considered 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.
Read full review We moved away from Oracle and NoSQL because we had been so reliant on them for the last 25 years, the pricing was too much and we were looking for a way to cut the cord.
Snowflake is just too up in the air, feels like it is soon to be just another line item to add to your Azure subscription. Azure was just priced right, easy to migrate to and plenty of resources to hire to support/maintain it. Very easy to learn, too.
Read full review Scalability 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.
Read full review Return on Investment IBM Cloudant is very secure and we never have to worry about losing data/unauthorized access It is one of the best data backup system and works well Global availability means it is easy to connect to the nearest data center and this reduces load time which is great. Read full review Perfect for small and medium databases, being very cost effective. As a Platform as a Service, there is no concern about patches, upgrades and end of life. Be aware of security and network capabilities. The service cannot run in the VNET as Azure Virtual Machines do. Read full review ScreenShots