What users are saying about
127 Ratings
25 Ratings
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Score 7.5 out of 100
127 Ratings
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Score 8.7 out of 100

Likelihood to Recommend

Amazon QuickSight

I'm likely to recommend it because it would become so native if other cloud services are based on AWS infrastructure, like our current setup. It is very seamlessly integrated with other services to feed in data for the visualization. In addition, supporting a reasonably large number of users concurrently is not an issue and should be able to scale horizontally as needed.
Anonymous | 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

BI Standard Reporting

Amazon QuickSight
5.5
Apache Spark
Pixel Perfect reports
Amazon QuickSight
6.5
Apache Spark
Customizable dashboards
Amazon QuickSight
4.5
Apache Spark
Report Formatting Templates
Amazon QuickSight
5.4
Apache Spark

Ad-hoc Reporting

Amazon QuickSight
5.7
Apache Spark
Drill-down analysis
Amazon QuickSight
6.2
Apache Spark
Formatting capabilities
Amazon QuickSight
5.3
Apache Spark
Integration with R or other statistical packages
Amazon QuickSight
4.3
Apache Spark
Report sharing and collaboration
Amazon QuickSight
6.9
Apache Spark

Report Output and Scheduling

Amazon QuickSight
5.8
Apache Spark
Publish to Web
Amazon QuickSight
6.5
Apache Spark
Publish to PDF
Amazon QuickSight
5.9
Apache Spark
Report Versioning
Amazon QuickSight
4.7
Apache Spark
Report Delivery Scheduling
Amazon QuickSight
6.2
Apache Spark
Delivery to Remote Servers
Amazon QuickSight
5.8
Apache Spark

Data Discovery and Visualization

Amazon QuickSight
5.4
Apache Spark
Pre-built visualization formats (heatmaps, scatter plots etc.)
Amazon QuickSight
6.3
Apache Spark
Location Analytics / Geographic Visualization
Amazon QuickSight
6.7
Apache Spark
Predictive Analytics
Amazon QuickSight
3.3
Apache Spark

Access Control and Security

Amazon QuickSight
7.3
Apache Spark
Multi-User Support (named login)
Amazon QuickSight
6.9
Apache Spark
Role-Based Security Model
Amazon QuickSight
6.9
Apache Spark
Multiple Access Permission Levels (Create, Read, Delete)
Amazon QuickSight
7.2
Apache Spark
Single Sign-On (SSO)
Amazon QuickSight
8.0
Apache Spark

Mobile Capabilities

Amazon QuickSight
3.8
Apache Spark
Responsive Design for Web Access
Amazon QuickSight
4.0
Apache Spark
Dedicated iOS Application
Amazon QuickSight
3.3
Apache Spark
Dedicated Android Application
Amazon QuickSight
3.9
Apache Spark
Dashboard / Report / Visualization Interactivity on Mobile
Amazon QuickSight
4.2
Apache Spark

Application Program Interfaces (APIs) / Embedding

Amazon QuickSight
5.0
Apache Spark
REST API
Amazon QuickSight
5.5
Apache Spark
Javascript API
Amazon QuickSight
5.8
Apache Spark
iFrames
Amazon QuickSight
5.2
Apache Spark
Java API
Amazon QuickSight
5.5
Apache Spark
Themeable User Interface (UI)
Amazon QuickSight
4.4
Apache Spark
Customizable Platform (Open Source)
Amazon QuickSight
3.6
Apache Spark

Pros

Amazon QuickSight

  • Lightweight and serverless BI tool that can be used for niche dashboards.
  • Its integration into other AWS Services is one of its most appealing features.
  • The low monthly cost is another benefit.
Anonymous | 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 QuickSight

  • One of the primary challenges I've had with Amazon QuickSight so far is that some of the reports I want to build use data from different data sets. Instead of being able to put all of the information I want to see into one report.
  • Some of our Amazon QuickSight reports only update every 24 hours. It would be great to see that data in real-time.
  • I would remove the various time zones from Amazon QuickSight and only use the time zone we are in.
Megan Sullivan | 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

Usability

Amazon QuickSight

No score
No answers yet
No answers on this topic

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

Support Rating

Amazon QuickSight

No score
No answers yet
No answers on this topic

Apache Spark

Apache Spark 8.3
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

Alternatives Considered

Amazon QuickSight

In our case, we are storing our large amount of data in the cloud so using QuickSight adds up to the performance of the reporting. We are using it as a secondary reporting tool so that a business user can generate their own report. We are using Tableau as our primary reporting tool.
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 QuickSight

No answers on this topic

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 QuickSight

General

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

Amazon QuickSight Editions & Modules

Edition
Authors$24.001
Readers$5.001
  1. Per Month
Additional Pricing Details

Apache Spark

General

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

Apache Spark Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

Amazon QuickSight
6.9
Apache Spark
8.6

Usability

Amazon QuickSight
Apache Spark
8.7

Support Rating

Amazon QuickSight
Apache Spark
8.3

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