Likelihood to Recommend AWS Document DB (with
MongoDB compatibility) is well suited when for all the workloads due to its huge feature offerings which will reduce our operational overhead and due to that we can focus more on our WorkLoad rather than optimising and fine tuning Databases. Its Offerings are Advanced Monitoring, DB cluster Upgrades, Migration Assistant, High Availability, Fault Tolerance, Data Durability, Security, Storage Auto Scaling, Backup Restore policies.AWS Document DB (with
MongoDB compatibility) some of the features that are there in some other services like
MongoDB Atlas that offers vast amount of features plus Supports Multi Cloud while Deploying Database clusters, Immediate support to latest Mongo DB versions, Mobile & Edge Sync like
Atlas Edge Sync, Freedom to choose Database deployment in Any top Public Cloud, Having more then 100 plus Monitoring and Telemetry metrics for index and schema recommendations, More Compatibility with
MongoDB queries.
Read full review 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 Pros Amazon DocumentDB (with MongoDB compatibility) provides Auto scaling of cluster as a by default functionality through this we can focus on more on our applications end Through AWS Document DB without much operation overhead we can configure for Database's high availability, Durability, Backup Restores policies, Advanced Monitoring, Security Parameters. Also they can provide us a Guide for Database Migration from any Supported Mongo DB vendor to AWS Document DB. Via AWS Document DB query Logging ( Profiling ) we can fine tune our database queries and hence improving our END to END Customer Experience and Product Enhancements. Read full review 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 Cons Give support for Latest Mongo DB versions available in market AWS Document DB is limited up to 32 shards per cluster and 2 shards per Document DB instance and all within single region Start supporting more numbers of Rich data types Should have access to MongoDB experts who throw light on Cutting edge mongoDB features and integration consulting. Read full review 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 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 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 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 Great Customer Experience as DB queries are fine tuned Less Operational Overhead to manage and take care of the Database Automatic applying of Small patches Read full review 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 ScreenShots Amazon DocumentDB (with MongoDB compatibility) Screenshots