Amazon DocumentDB (with MongoDB compatibility) vs. IBM Cloudant

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon DocumentDB (with MongoDB compatibility)
Score 8.0 out of 10
N/A
Amazon DocumentDB (with MongoDB compatibility) is presented by the vendor as a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB is designed to make it easy to store, query, and index JSON data.N/A
IBM Cloudant
Score 8.3 out of 10
N/A
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
Pricing
Amazon DocumentDB (with MongoDB compatibility)IBM Cloudant
Editions & Modules
No answers on this topic
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
Offerings
Pricing Offerings
Amazon DocumentDB (with MongoDB compatibility)IBM Cloudant
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon DocumentDB (with MongoDB compatibility)IBM Cloudant
Considered Both Products
Amazon DocumentDB (with MongoDB compatibility)

No answer on this topic

IBM Cloudant
Chose IBM Cloudant
IBM cloudant documentation is very easy to understand and because of that the implementation is also very easy. We found some difficulties in case of aws documents implementation. Performance of the cloudant database is also high as compare to the other databases. Indexing and …
Top Pros
Top Cons
Features
Amazon DocumentDB (with MongoDB compatibility)IBM Cloudant
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Amazon DocumentDB (with MongoDB compatibility)
-
Ratings
IBM Cloudant
9.4
21 Ratings
7% above category average
Performance00 Ratings9.821 Ratings
Availability00 Ratings8.121 Ratings
Concurrency00 Ratings9.921 Ratings
Security00 Ratings9.821 Ratings
Scalability00 Ratings9.121 Ratings
Data model flexibility00 Ratings9.921 Ratings
Deployment model flexibility00 Ratings9.121 Ratings
Best Alternatives
Amazon DocumentDB (with MongoDB compatibility)IBM Cloudant
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.3 out of 10
Redis™*
Redis™*
Score 9.0 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.3 out of 10
Redis™*
Redis™*
Score 9.0 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.3 out of 10
Redis™*
Redis™*
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon DocumentDB (with MongoDB compatibility)IBM Cloudant
Likelihood to Recommend
8.0
(1 ratings)
8.0
(45 ratings)
Likelihood to Renew
-
(0 ratings)
7.3
(1 ratings)
Usability
-
(0 ratings)
7.7
(5 ratings)
Availability
-
(0 ratings)
8.2
(1 ratings)
Performance
-
(0 ratings)
8.2
(1 ratings)
Support Rating
-
(0 ratings)
8.6
(4 ratings)
Online Training
-
(0 ratings)
7.3
(2 ratings)
Implementation Rating
-
(0 ratings)
8.2
(4 ratings)
Configurability
-
(0 ratings)
8.5
(3 ratings)
Product Scalability
-
(0 ratings)
9.6
(23 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
Amazon DocumentDB (with MongoDB compatibility)IBM Cloudant
Likelihood to Recommend
Amazon AWS
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.
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IBM
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.
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Pros
Amazon AWS
  • 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.
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IBM
  • 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
Amazon AWS
  • 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.
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IBM
  • 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.
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Likelihood to Renew
Amazon AWS
No answers on this topic
IBM
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
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Usability
Amazon AWS
No answers on this topic
IBM
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.
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Reliability and Availability
Amazon AWS
No answers on this topic
IBM
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.
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Performance
Amazon AWS
No answers on this topic
IBM
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.
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Support Rating
Amazon AWS
No answers on this topic
IBM
Very happy by the commitment given by the team which has been really good over the last 7 years of usage.
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Online Training
Amazon AWS
No answers on this topic
IBM
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
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Implementation Rating
Amazon AWS
No answers on this topic
IBM
  • 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
Amazon AWS
No answers on this topic
IBM
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.
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Scalability
Amazon AWS
No answers on this topic
IBM
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.
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Return on Investment
Amazon AWS
  • 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
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IBM
  • 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

Screenshot of Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDBScreenshot of Creating an Amazon DocumentDB clusterScreenshot of Scaling Amazon DocumentDB