What users are saying about
Top Rated
489 Ratings
127 Ratings
Top Rated
489 Ratings
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Score 8.6 out of 100
127 Ratings
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Score 8.7 out of 100

Likelihood to Recommend

Amazon Web Services

More suited I will say deploying your Web-server, Running some cloud applications, Deploying your micro-services, Managed database. Less suited is really hard to say but there can be some scenario where you can use free services like Google spreadsheet scripting for smaller data management and small workflows. Workflow automation is something you need multiple vendors to talk to each other at that time its preferred to go for something else.
Rahul Chhajed | TrustRadius Reviewer

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

Feature Rating Comparison

Infrastructure-as-a-Service (IaaS)

Amazon Web Services
8.8
Apache Spark
Service-level Agreement (SLA) uptime
Amazon Web Services
9.2
Apache Spark
Dynamic scaling
Amazon Web Services
9.3
Apache Spark
Elastic load balancing
Amazon Web Services
9.2
Apache Spark
Pre-configured templates
Amazon Web Services
8.0
Apache Spark
Monitoring tools
Amazon Web Services
8.4
Apache Spark
Pre-defined machine images
Amazon Web Services
8.7
Apache Spark
Operating system support
Amazon Web Services
8.8
Apache Spark
Security controls
Amazon Web Services
9.0
Apache Spark

Pros

Amazon Web Services

  • What I like in it, is its simple notification service which provides a mobile messaging feature to enable push messaging to my mobile devices as well.
  • It helps in sending out notifications to all my teammates with full integrity.
  • Responsive Support.
  • Offers a variety of features that help to manage my workload.
Martha Batruny | TrustRadius Reviewer

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

Cons

Amazon Web Services

  • If there is one thing I think AWS needs improvement on, it is the administration dashboard. It can be a nightmare to use especially when trying to access billing. This could be made better, honestly, as there should be a simplified way to access simple admin features.
  • While AWS was fairly easy to integrate into our solutions, it is not as easy to use without some IT knowledge. The dashboards are complicated and designed for someone who is computer savvy. If you are just want to keep track of billing, for example, you may need to take a course or spend a few hours with someone being walked through the admin console.
  • AWS does tend to be slow at times. If you do not have a fast internet connection, it can take time to access services that are hosted on AWS. This is not always the case but we have had clients complain about this if they are trying to access a service from multiple points (IP addresses). The only real fix we found was to make our files cache to another server and only keep current data accessible to clients.
Nathan Sichilongo | TrustRadius Reviewer

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

Likelihood to Renew

Amazon Web Services

Amazon Web Services 9.4
Based on 10 answers
We are almost entirely satisfied with the service. In order to move off it, we'd have to build for ourselves many of the services that AWS provides and the cost would be prohibitive. Although there are cost savings and security benefits to returning to the colo facility, we could never afford to do it, and we'd hate to give up the innovation and constant cycle of new features that AWS gives us.
Marc Schriftman | TrustRadius Reviewer

Apache Spark

No score
No answers yet
No answers on this topic

Usability

Amazon Web Services

Amazon Web Services 7.3
Based on 5 answers
We find it quite easy to use. The only challenge is at the outset figuring out exactly what you need, given the large number of available services and options which could take a bit of time to get familiarised with and to decide on.
Anonymous | TrustRadius Reviewer

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

Reliability and Availability

Amazon Web Services

Amazon Web Services 9.0
Based on 1 answer
Availability is very good, with the exception of occasional spectacular outages.
Anonymous | TrustRadius Reviewer

Apache Spark

No score
No answers yet
No answers on this topic

Performance

Amazon Web Services

AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.
Anonymous | TrustRadius Reviewer

Apache Spark

No answers on this topic

Support Rating

Amazon Web Services

Amazon Web Services 7.6
Based on 25 answers
Amazon Web Services boasts a really quick and helpful support with multiple communication options as well. For instance, on my personal account I incurred a minor charge due to mismanagement of a service. Upon contacting support, they quickly explained the issue to me and upon request waived the bill as a first time error.
Anonymous | TrustRadius Reviewer

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

Implementation Rating

Amazon Web Services

Amazon Web Services 10.0
Based on 3 answers
The API's were very well documented and was Janova's main point of entry into the services.
Brian Lusenhop | TrustRadius Reviewer

Apache Spark

No score
No answers yet
No answers on this topic

Alternatives Considered

Amazon Web Services

Amazon Web Services is well suited when we have a huge amount of data to store, process, manipulate and get meaningful information out of. It is also suitable when we need very fast data retrieval from the database. They provide a superior product at a fair price which allows us to further our goals and push the limits of what we are capable of as a team / company.
Anonymous | TrustRadius Reviewer

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

Return on Investment

Amazon Web Services

  • AWS has lowered our employee cost, because you don't have to hire Network/Server Admins to manage infrastructure.
  • Increased productivity by incorporating Continuous Integration with AWS and our development life cycle.
  • Increased customer confidence by being able to provide HIPAA level security in our development and production environments
Anonymous | TrustRadius Reviewer

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

Pricing Details

Amazon Web Services

General

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

Apache Spark

General

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

Rating Summary

Likelihood to Recommend

Amazon Web Services
9.0
Apache Spark
8.6

Likelihood to Renew

Amazon Web Services
9.4
Apache Spark

Usability

Amazon Web Services
7.3
Apache Spark
8.7

Reliability and Availability

Amazon Web Services
9.0
Apache Spark

Support Rating

Amazon Web Services
7.6
Apache Spark
8.2

Online Training

Amazon Web Services
7.0
Apache Spark

Implementation Rating

Amazon Web Services
10.0
Apache Spark

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