What users are saying about
127 Ratings
108 Ratings
127 Ratings
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Score 8.7 out of 100
108 Ratings
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Score 8.5 out of 100

Likelihood to Recommend

Apache Spark

The software appears to run more efficiently than other big data tools, such as Hadoop. Given that, Apache Spark is well-suited for querying and trying to make sense of very, very large data sets. The software offers many advanced machine learning and econometrics tools, although these tools are used only partially because very large data sets require too much time when the data sets get too large. The software is not well-suited for projects that are not big data in size. The graphics and analytical output are subpar compared to other tools.
Thomas Young | TrustRadius Reviewer

IBM Cloudant

IBM Cloudant is generally a good tool for a NonSQL, document oriented Database as a Service. It is very scalable and reliable, and managed services through IBM seems to be working well. You can consider as almost no lock-in since it is based on CouchDB API structures and you can migrate to any other provider in the future if needed. If you need real Global Availability, like Asia / China you may need to look for alternatives.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

NoSQL Databases

Apache Spark
IBM Cloudant
7.7
Performance
Apache Spark
IBM Cloudant
7.8
Availability
Apache Spark
IBM Cloudant
8.2
Concurrency
Apache Spark
IBM Cloudant
7.6
Security
Apache Spark
IBM Cloudant
7.9
Scalability
Apache Spark
IBM Cloudant
7.3
Data model flexibility
Apache Spark
IBM Cloudant
7.2
Deployment model flexibility
Apache Spark
IBM Cloudant
7.7

Pros

Apache Spark

  • Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues
  • Faster in execution times compare to Hadoop and PIG Latin
  • Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner
  • Interoperability between SQL and Scala / Python style of munging data
Nitin Pasumarthy | TrustRadius Reviewer

IBM Cloudant

  • 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!!
Naresh Jasotani | TrustRadius Reviewer

Cons

Apache Spark

  • Memory management. Very weak on that.
  • PySpark not as robust as scala with spark.
  • spark master HA is needed. Not as HA as it should be.
  • Locality should not be a necessity, but does help improvement. But would prefer no locality
Anson Abraham | TrustRadius Reviewer

IBM Cloudant

  • 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.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

Apache Spark

No score
No answers yet
No answers on this topic

IBM Cloudant

IBM Cloudant 7.3
Based on 1 answer
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
victor pease solano | TrustRadius Reviewer

Usability

Apache Spark

Apache Spark 8.7
Based on 3 answers
Apache integrates with multiple big data frameworks. It does not exert too much load on the disks. Moreover, it is easy to program and use. It reduces the headache of using different applications separately through its high-level APIs. Big data processing has never been as easy as it is with Apache Spark.
Partha Protim Pegu | TrustRadius Reviewer

IBM Cloudant

IBM Cloudant 7.7
Based on 5 answers
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.
Bryan Redeagle | TrustRadius Reviewer

Reliability and Availability

Apache Spark

No score
No answers yet
No answers on this topic

IBM Cloudant

IBM Cloudant 8.2
Based on 2 answers
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.
Shiv Shivakumar | TrustRadius Reviewer

Performance

Apache Spark

No score
No answers yet
No answers on this topic

IBM Cloudant

IBM Cloudant 8.2
Based on 2 answers
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.
Shiv Shivakumar | TrustRadius Reviewer

Support Rating

Apache Spark

Apache Spark 8.2
Based on 6 answers
1. It integrates very well with scala or python.2. It's very easy to understand SQL interoperability.3. Apache is way faster than the other competitive technologies.4. The support from the Apache community is very huge for Spark.5. Execution times are faster as compared to others.6. There are a large number of forums available for Apache Spark.7. The code availability for Apache Spark is simpler and easy to gain access to.8. Many organizations use Apache Spark, so many solutions are available for existing applications.
Yogesh Mhasde | TrustRadius Reviewer

IBM Cloudant

IBM Cloudant 8.6
Based on 6 answers
Very happy by the commitment given by the team which has been really good over the last 7 years of usage.
Nicolas Peeters | TrustRadius Reviewer

Online Training

Apache Spark

No score
No answers yet
No answers on this topic

IBM Cloudant

IBM Cloudant 7.3
Based on 1 answer
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
victor pease solano | TrustRadius Reviewer

Implementation Rating

Apache Spark

No score
No answers yet
No answers on this topic

IBM Cloudant

IBM Cloudant 8.2
Based on 8 answers
  • 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.
Nicolas Peeters | TrustRadius Reviewer

Alternatives Considered

Apache Spark

Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.
Anonymous | TrustRadius Reviewer

IBM Cloudant

It's easier to use than Dynamo, more open than Firebase, and has better documentation that CouchDB... it might not be fair to compare Modulus, Modulus obviously suffers from some scalability issues and might not be in the same class... but its a hosted DB service we had some experience with in the past....
Wes Wilson | TrustRadius Reviewer

Scalability

Apache Spark

No score
No answers yet
No answers on this topic

IBM Cloudant

IBM Cloudant 8.6
Based on 21 answers
As a DB-as-a-Service, Cloudant has freed us from this kind of problem. Using the IBM Bluemix dashboard you can control how many transaction are executed in milliseconds and this is for now our rating of scalability between 200-24 milliseconds for one http POST (insert document), well under the project rate that was defined by an order of magnitude.
Romualdo Gobbo | TrustRadius Reviewer

Return on Investment

Apache Spark

  • It has had a very positive impact, as it helps reduce the data processing time and thus helps us achieve our goals much faster.
  • Being easy to use, it allows us to adapt to the tool much faster than with others, which in turn allows us to access various data sources such as Hadoop, Apache Mesos, Kubernetes, independently or in the cloud. This makes it very useful.
  • It was very easy for me to use Apache Spark and learn it since I come from a background of Java and SQL, and it shares those basic principles and uses a very similar logic.
Carla Borges | TrustRadius Reviewer

IBM Cloudant

  • Saving in-terms of cost of procuring and maintaining hardware, which will be realized over the next 5 years.
  • Positive ROI in terms of the number of FTEs involved in maintaining our databases; our DBAs can now focus on other important and business critical applications.
  • Best ROI in terms of our organization's vision - they are no longer anxious / nervous to move to the cloud. We are already on the CLOUD.
Naresh Jasotani | TrustRadius Reviewer

Pricing Details

Apache Spark

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

IBM Cloudant

General

Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

Apache Spark
8.6
IBM Cloudant
7.8

Likelihood to Renew

Apache Spark
IBM Cloudant
7.3

Usability

Apache Spark
8.7
IBM Cloudant
7.7

Reliability and Availability

Apache Spark
IBM Cloudant
8.2

Performance

Apache Spark
IBM Cloudant
8.2

Support Rating

Apache Spark
8.2
IBM Cloudant
8.6

Online Training

Apache Spark
IBM Cloudant
7.3

Implementation Rating

Apache Spark
IBM Cloudant
8.2

Scalability

Apache Spark
IBM Cloudant
8.6

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