Apache Spark vs. SAS Visual Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Spark
Score 8.3 out of 10
N/A
N/AN/A
SAS Visual Analytics
Score 8.2 out of 10
Enterprise companies (1,001+ employees)
SAS Visual Analytics provides a complete platform for analytics visualization, enabling users to identify patterns and relationships in data that weren't initially evident. Interactive, self-service BI and reporting capabilities are combined with out-of-the-box advanced analytics so everyone can discover insights from any size and type of data, including text.
$0
Annual By Users: 5, 10, 20
Pricing
Apache SparkSAS Visual Analytics
Editions & Modules
No answers on this topic
SAS Visual Analytics for SAS Cloud
Annual By Users: 5, 10, 20
Offerings
Pricing Offerings
Apache SparkSAS Visual Analytics
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsSAS Visual Statistics and SAS Office Analytics are also available as add-ons.
More Pricing Information
Features
Apache SparkSAS Visual Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Apache Spark
-
Ratings
SAS Visual Analytics
7.3
8 Ratings
10% below category average
Pixel Perfect reports00 Ratings7.58 Ratings
Customizable dashboards00 Ratings7.08 Ratings
Report Formatting Templates00 Ratings7.57 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Apache Spark
-
Ratings
SAS Visual Analytics
7.6
9 Ratings
5% below category average
Drill-down analysis00 Ratings8.09 Ratings
Formatting capabilities00 Ratings7.09 Ratings
Integration with R or other statistical packages00 Ratings7.07 Ratings
Report sharing and collaboration00 Ratings8.58 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Apache Spark
-
Ratings
SAS Visual Analytics
8.1
9 Ratings
3% below category average
Publish to Web00 Ratings7.58 Ratings
Publish to PDF00 Ratings8.09 Ratings
Report Versioning00 Ratings9.05 Ratings
Report Delivery Scheduling00 Ratings8.58 Ratings
Delivery to Remote Servers00 Ratings7.54 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Apache Spark
-
Ratings
SAS Visual Analytics
8.5
8 Ratings
4% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.08 Ratings
Location Analytics / Geographic Visualization00 Ratings8.58 Ratings
Predictive Analytics00 Ratings9.06 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Apache Spark
-
Ratings
SAS Visual Analytics
7.6
8 Ratings
12% below category average
Multi-User Support (named login)00 Ratings8.08 Ratings
Role-Based Security Model00 Ratings8.07 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings7.08 Ratings
Single Sign-On (SSO)00 Ratings7.55 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Apache Spark
-
Ratings
SAS Visual Analytics
9.2
6 Ratings
15% above category average
Responsive Design for Web Access00 Ratings10.06 Ratings
Mobile Application00 Ratings9.04 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings9.05 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Apache Spark
-
Ratings
SAS Visual Analytics
9.2
3 Ratings
15% above category average
REST API00 Ratings10.02 Ratings
Javascript API00 Ratings9.02 Ratings
iFrames00 Ratings9.02 Ratings
Java API00 Ratings9.02 Ratings
Themeable User Interface (UI)00 Ratings9.03 Ratings
Customizable Platform (Open Source)00 Ratings9.02 Ratings
Best Alternatives
Apache SparkSAS Visual Analytics
Small Businesses

No answers on this topic

Cyfe
Cyfe
Score 8.7 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
Entrinsik Informer
Entrinsik Informer
Score 9.5 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 9.3 out of 10
TIBCO Jaspersoft Community Edition
TIBCO Jaspersoft Community Edition
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache SparkSAS Visual Analytics
Likelihood to Recommend
9.5
(23 ratings)
7.5
(10 ratings)
Likelihood to Renew
10.0
(1 ratings)
-
(0 ratings)
Usability
9.4
(2 ratings)
-
(0 ratings)
Support Rating
8.6
(6 ratings)
10.0
(2 ratings)
User Testimonials
Apache SparkSAS Visual Analytics
Likelihood to Recommend
Apache
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.
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SAS
I was in a meeting with the client and there I have to show them some analytic data to them. But I was confused about how I will manage to show big data to clients with accuracy. But then the SAS Visual Analytics software helps me in presenting accurate data at the moment and it was very presentable and through that, I got the deal for that business.
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Pros
Apache
  • 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
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SAS
  • Present data across a range of axis in a meaningful way
  • bring out correlations that could lead to some interesting research
  • it's FAST!
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Cons
Apache
  • 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
Read full review
SAS
  • 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.
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Likelihood to Renew
Apache
Capacity of computing data in cluster and fast speed.
Read full review
SAS
No answers on this topic
Usability
Apache
The only thing I dislike about spark's usability is the learning curve, there are many actions and transformations, however, its wide-range of uses for ETL processing, facility to integrate and it's multi-language support make this library a powerhouse for your data science solutions. It has especially aided us with its lightning-fast processing times.
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SAS
No answers on this topic
Support Rating
Apache
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.
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SAS
Excellent and fast support
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Alternatives Considered
Apache
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.
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SAS
Price and features we looked at seemed consistent. We chose this product because our staff already knew the product, plus users at the state had recommended it as it is what they use.
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Return on Investment
Apache
  • Business leaders are able to take data driven decisions
  • Business users are able access to data in near real time now . Before using spark, they had to wait for at least 24 hours for data to be available
  • Business is able come up with new product ideas
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SAS
  • 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.
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ScreenShots

SAS Visual Analytics Screenshots

Screenshot of Explore your data using analytics and interactive data visualizations.