IBM Cloudant vs. DataStax Enterprise

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Cloudant
Score 8.4 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
DataStax Enterprise
Score 9.1 out of 10
N/A
DataStax Enterprise (DSE) is the scale-out, cloud-native NoSQL database built on Apache Cassandra. DSE is Developer Ready providing developers the freedom of choice of REST, GraphQL, CQL and JSON/Document APIs.N/A
Pricing
IBM CloudantDataStax Enterprise
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
No answers on this topic
Offerings
Pricing Offerings
IBM CloudantDataStax Enterprise
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
IBM CloudantDataStax Enterprise
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
IBM Cloudant
9.4
21 Ratings
7% above category average
DataStax Enterprise
7.9
3 Ratings
11% below category average
Performance9.821 Ratings9.13 Ratings
Availability8.121 Ratings9.43 Ratings
Concurrency9.921 Ratings8.03 Ratings
Security9.821 Ratings7.93 Ratings
Scalability9.121 Ratings9.43 Ratings
Data model flexibility9.921 Ratings5.03 Ratings
Deployment model flexibility9.121 Ratings6.83 Ratings
Best Alternatives
IBM CloudantDataStax Enterprise
Small Businesses
Redis™*
Redis™*
Score 9.0 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Medium-sized Companies
Redis™*
Redis™*
Score 9.0 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Enterprises
Redis™*
Redis™*
Score 9.0 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM CloudantDataStax Enterprise
Likelihood to Recommend
8.2
(45 ratings)
10.0
(6 ratings)
Likelihood to Renew
7.3
(1 ratings)
7.7
(3 ratings)
Usability
7.7
(5 ratings)
8.1
(3 ratings)
Availability
8.2
(1 ratings)
-
(0 ratings)
Performance
8.2
(1 ratings)
-
(0 ratings)
Support Rating
8.6
(4 ratings)
9.4
(3 ratings)
Online Training
7.3
(2 ratings)
-
(0 ratings)
Implementation Rating
8.2
(4 ratings)
-
(0 ratings)
Configurability
8.5
(3 ratings)
-
(0 ratings)
Product Scalability
9.6
(23 ratings)
-
(0 ratings)
Vendor pre-sale
9.1
(1 ratings)
-
(0 ratings)
User Testimonials
IBM CloudantDataStax Enterprise
Likelihood to Recommend
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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DataStax
Real-time transaction processing (both reads and writes) is where DataStax Enterprise shines. It's very fast with linear scalability should more resources be needed. Additional nodes are added very easily. DataStax Enterprise on its own (without Solr or Spark enabled) isn't well suited for long complicated reports. The data model doesn't support joining multiple tables together which is common in BI reporting.
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Pros
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!!
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DataStax
  • Datastax Cassandra provides high availability and good performance for a database. It is built on top of open source Apache Cassandra so you can always somewhat understand the internal functioning and why.
  • Datastax Cassandra is fairly simple to start using, you can install/setup your cluster and be productive in 1 day.
  • Datastax Cassandra provides a lot of good detailed documentation, and when starting, the detailed free videos on the Datastax site and documentation are very helpful.
  • Datastax Enterprise Edition of Cassandra provides more tools, good support, and quick response SLA for enterprise business support.
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Cons
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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DataStax
  • Cassandra is a bit difficult to learn and understand
  • The costs are slightly higher for our company
  • Hardware requirement is moderate to high at the beginning
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Likelihood to Renew
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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DataStax
We will continue to use it because it scales well with commodity hardware and we are satisfied with the documentation and support.
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Usability
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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DataStax
There is a bit of a learning curve and tasks that are simple in traditional RDBMS systems can be complicated with DataStax Enterprise but once you get the hang of denormalizing data and getting the data model correct DataStax Enterprise is very usable. Usability from the developer's standpoint is very simple - the complication is on the architecture side with the data model.
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Reliability and Availability
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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DataStax
No answers on this topic
Performance
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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DataStax
No answers on this topic
Support Rating
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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DataStax
DataStax has the best community. They have instant customer support to solve problems and are knowledgeable of the problems faced by the customer. The documentation is pretty top-notch.
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Online Training
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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DataStax
No answers on this topic
Implementation Rating
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.
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DataStax
No answers on this topic
Alternatives Considered
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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DataStax
DataStax Enterprise offered best-in-class write performance and scalability. The customer support team was very helpful in the adoption of new technology.
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Scalability
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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DataStax
No answers on this topic
Return on Investment
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.
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DataStax
  • Highly Scalable Database, Highly Available Services, and Platforms.
  • High Performance, Low Latency and Highest throughput across varying workloads.
  • Configured, Tuned and Monitored correctly works to provide the best user experience!
  • Negative: Maintenance and Debugging Corner Cases
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