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 If you want a serverless NoSQL database, no matter it is for personal use, or for company use, Google Cloud Datastore should be on top of your list, especially if you are using Google Cloud as your primary cloud platform. It integrates with all services in the Google Cloud platform.
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 Automatically handles shards and replication. Schema-less & NoSQL. Fully managed. 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 It is hosted on GCP, which makes it harder if your company have multi-cloud strategy. When you want to migrate to other cloud providers, there can be a caveat. 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 For the amount of use we're getting from Google Cloud Datastore, switching to any other platform would have more cost with little gain. Not having to manage and maintain Google Cloud Datastore for over 4 years has allowed our teams to work on other things. The price is so low that almost any other option for our needs would be far more expensive in time and money.
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 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 selected Google Cloud Datastore as one of our candidates for our NoSQL data is because it is provided by Google Cloud, which fits our needs. Most of our infrastructure is on Google Cloud, so when we think about the NoSQL database, the first thing we thought about is Google Cloud Datastore. And it proves itself.
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 Simple billing part of Google Cloud Platform No time spent configuring and maintaining Google Cloud Datastore. Very good uptime for our applications. Read full review ScreenShots