What users are saying about
112 Ratings
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Score 8.4 out of 101
42 Ratings
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Score 8.3 out of 101

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 profile photo

SAS Visual Analytics

It is particularly well suited to big data collections that have good structure. It is not really designed for unstructured datasets (documents, etc). Its strength is the processing speed (particularly when implemented on Hadoop). It is not cheap but it is worth it!
Ian Macintosh profile photo

Feature Rating Comparison

BI Standard Reporting

Apache Spark
SAS Visual Analytics
7.9
Pixel Perfect reports
Apache Spark
SAS Visual Analytics
6.5
Customizable dashboards
Apache Spark
SAS Visual Analytics
8.9
Report Formatting Templates
Apache Spark
SAS Visual Analytics
8.4

Ad-hoc Reporting

Apache Spark
SAS Visual Analytics
8.1
Drill-down analysis
Apache Spark
SAS Visual Analytics
8.0
Formatting capabilities
Apache Spark
SAS Visual Analytics
7.5
Integration with R or other statistical packages
Apache Spark
SAS Visual Analytics
8.5
Report sharing and collaboration
Apache Spark
SAS Visual Analytics
8.4

Report Output and Scheduling

Apache Spark
SAS Visual Analytics
8.6
Publish to Web
Apache Spark
SAS Visual Analytics
8.4
Publish to PDF
Apache Spark
SAS Visual Analytics
8.4
Report Versioning
Apache Spark
SAS Visual Analytics
9.0
Report Delivery Scheduling
Apache Spark
SAS Visual Analytics
9.0
Delivery to Remote Servers
Apache Spark
SAS Visual Analytics
8.4

Data Discovery and Visualization

Apache Spark
SAS Visual Analytics
8.9
Pre-built visualization formats (heatmaps, scatter plots etc.)
Apache Spark
SAS Visual Analytics
9.0
Location Analytics / Geographic Visualization
Apache Spark
SAS Visual Analytics
8.9
Predictive Analytics
Apache Spark
SAS Visual Analytics
8.9

Access Control and Security

Apache Spark
SAS Visual Analytics
8.7
Multi-User Support (named login)
Apache Spark
SAS Visual Analytics
8.9
Role-Based Security Model
Apache Spark
SAS Visual Analytics
8.5
Multiple Access Permission Levels (Create, Read, Delete)
Apache Spark
SAS Visual Analytics
8.8
Single Sign-On (SSO)
Apache Spark
SAS Visual Analytics
8.8

Mobile Capabilities

Apache Spark
SAS Visual Analytics
9.3
Responsive Design for Web Access
Apache Spark
SAS Visual Analytics
9.0
Dedicated iOS Application
Apache Spark
SAS Visual Analytics
9.6
Dedicated Android Application
Apache Spark
SAS Visual Analytics
9.5
Dashboard / Report / Visualization Interactivity on Mobile
Apache Spark
SAS Visual Analytics
9.0

Application Program Interfaces (APIs) / Embedding

Apache Spark
SAS Visual Analytics
9.3
REST API
Apache Spark
SAS Visual Analytics
8.9
Javascript API
Apache Spark
SAS Visual Analytics
9.6
iFrames
Apache Spark
SAS Visual Analytics
9.6
Java API
Apache Spark
SAS Visual Analytics
8.9
Themeable User Interface (UI)
Apache Spark
SAS Visual Analytics
9.2
Customizable Platform (Open Source)
Apache Spark
SAS Visual Analytics
9.6

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 profile photo

SAS Visual Analytics

  • Our staff are familiar with it as it is a common tool. Our training and implementation was short.
  • Installation was easy. Our staff was able to deploy to the receiving department relatively quickly. Though the download was a pretty good size.
  • Seems to crunch through large volumes of data (millions of records) pretty quickly as I've received no complaints on this front from staff.
Mike Narumiya profile photo

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 profile photo

SAS Visual Analytics

  • Customizing a report as per the user requirement.
  • Adding more color and font styles. Presenting data in a more colorful way.
  • The website has a lot of tutorials which is more inclined to the technical side. Maybe add more to the presentation side as well.
Banbhalang Kharpuri profile photo

Support

Apache Spark

No score
No answers yet
No answers on this topic

SAS Visual Analytics

SAS Visual Analytics 10.0
Based on 1 answer
Excellent and fast support
suva sahu profile photo

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.
No photo available

SAS Visual Analytics

SAS Visual Analytics stuck against IBM SPSS Modeler and Tableau in the sense that, it is far more accurate and reliable in the aspect of data and statistical analyses than others. Also, it is not just globally recognized as the leader in the field of statistical and data analysis, but also the most used statistical software worldwide. In addition, it combines the functionality of both IBM SPSS Modeler and Tableau which implies, it is comprehensive and has the widest coverage.
No photo available

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 profile photo

SAS Visual Analytics

  • SAS Visual Analytics licensing cost should be reduced to enable users to use it in mass scale.
  • More statistical and mathematical equations and theories should be converted into SAS functions for reusing.
  • Because of enriched ETL and reporting capabilities SAS Visual Analytics is most preferred by business users.
suva sahu profile photo

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

SAS Visual Analytics

General

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

SAS Visual Analytics Editions & Modules

Edition
SAS Visual Analytics for SAS Cloud1
  1. Annual By Users: 5, 10, 20
Additional Pricing Details
SAS Visual Statistics and SAS Office Analytics are also available as add-ons.

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