Apache Hadoop vs. SAS Visual Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 7.3 out of 10
N/A
Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.N/A
SAS Visual Analytics
Score 8.3 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 HadoopSAS Visual Analytics
Editions & Modules
No answers on this topic
SAS Visual Analytics for SAS Cloud
Annual By Users: 5, 10, 20
Offerings
Pricing Offerings
HadoopSAS Visual Analytics
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details—SAS Visual Statistics and SAS Office Analytics are also available as add-ons.
More Pricing Information
Community Pulse
Apache HadoopSAS Visual Analytics
Considered Both Products
Hadoop

No answer on this topic

SAS Visual Analytics
Chose SAS Visual Analytics
SAS visual analytics has high sped LASR servers mounted on Hadoop filesystems which makes it more powrful for analytics.
Top Pros
Top Cons
Features
Apache HadoopSAS Visual Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Apache Hadoop
-
Ratings
SAS Visual Analytics
8.3
12 Ratings
1% above category average
Pixel Perfect reports00 Ratings8.012 Ratings
Customizable dashboards00 Ratings8.012 Ratings
Report Formatting Templates00 Ratings9.011 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Apache Hadoop
-
Ratings
SAS Visual Analytics
8.8
13 Ratings
8% above category average
Drill-down analysis00 Ratings9.013 Ratings
Formatting capabilities00 Ratings8.013 Ratings
Integration with R or other statistical packages00 Ratings8.011 Ratings
Report sharing and collaboration00 Ratings10.012 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Apache Hadoop
-
Ratings
SAS Visual Analytics
9.2
13 Ratings
10% above category average
Publish to Web00 Ratings9.012 Ratings
Publish to PDF00 Ratings9.013 Ratings
Report Versioning00 Ratings9.010 Ratings
Report Delivery Scheduling00 Ratings10.012 Ratings
Delivery to Remote Servers00 Ratings9.07 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Apache Hadoop
-
Ratings
SAS Visual Analytics
9.7
11 Ratings
18% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings10.010 Ratings
Location Analytics / Geographic Visualization00 Ratings10.011 Ratings
Predictive Analytics00 Ratings9.010 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Apache Hadoop
-
Ratings
SAS Visual Analytics
8.3
12 Ratings
4% below category average
Multi-User Support (named login)00 Ratings9.012 Ratings
Role-Based Security Model00 Ratings8.011 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.012 Ratings
Single Sign-On (SSO)00 Ratings8.08 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Apache Hadoop
-
Ratings
SAS Visual Analytics
8.3
10 Ratings
4% above category average
Responsive Design for Web Access00 Ratings10.010 Ratings
Mobile Application00 Ratings9.08 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings9.09 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Apache Hadoop
-
Ratings
SAS Visual Analytics
9.2
6 Ratings
15% above category average
REST API00 Ratings10.05 Ratings
Javascript API00 Ratings9.05 Ratings
iFrames00 Ratings9.05 Ratings
Java API00 Ratings9.05 Ratings
Themeable User Interface (UI)00 Ratings9.05 Ratings
Customizable Platform (Open Source)00 Ratings9.03 Ratings
Best Alternatives
Apache HadoopSAS Visual Analytics
Small Businesses

No answers on this topic

BrightGauge
BrightGauge
Score 8.9 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
Reveal
Reveal
Score 9.9 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.8 out of 10
Jaspersoft Community Edition
Jaspersoft Community Edition
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HadoopSAS Visual Analytics
Likelihood to Recommend
8.9
(36 ratings)
9.0
(18 ratings)
Likelihood to Renew
9.6
(8 ratings)
9.3
(3 ratings)
Usability
8.5
(5 ratings)
6.0
(1 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
7.5
(3 ratings)
8.0
(3 ratings)
Online Training
6.1
(2 ratings)
-
(0 ratings)
User Testimonials
Apache HadoopSAS Visual Analytics
Likelihood to Recommend
Apache
Altogether, I want to say that Apache Hadoop is well-suited to a larger and unstructured data flow like an aggregation of web traffic or even advertising. I think Apache Hadoop is great when you literally have petabytes of data that need to be stored and processed on an ongoing basis. Also, I would recommend that the software should be supplemented with a faster and interactive database for a better querying service. Lastly, it's very cost-effective so it is good to give it a shot before coming to any conclusion.
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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
  • Handles large amounts of unstructured data well, for business level purposes
  • Is a good catchall because of this design, i.e. what does not fit into our vertical tables fits here.
  • Decent for large ETL pipelines and logging free-for-alls because of this, also.
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SAS
  • Provides the flexibility to the end user to slice and dice the data.
  • Anyone can make predictive models with the help of in-built algorithms without the need to write a single line of code or knowledge of what's under the hood of algorithms.
  • The feature to simply ask a question related to data and getting a response in form of text, chart or graph is amazing.
Read full review
Cons
Apache
  • Less organizational support system. Bugs need to be fixed and outside help take a long time to push updates
  • Not for small data sets
  • Data security needs to be ramped up
  • Failure in NameNode has no replication which takes a lot of time to recover
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SAS
  • SAS is relatively expensive when compared to other BI tools and requires a large amount of upfront fee which becomes an issue for smaller organizations.
  • UI for the dashboards looks a little date in comparison to competitors like Tableau and Microstrategy.
  • Integration with other open source software like Python needs to be built in.
Read full review
Likelihood to Renew
Apache
Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free
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SAS
SAS really is the cutting edge in Business Intelligence. That is all they do! They are constantly coming out with new products, product upgrades, and their tech support is second to none. In addition, their support of Education has made our ability to acquire their product possible.
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Usability
Apache
Great! Hadoop has an easy to use interface that mimics most other data warehouses. You can access your data via SQL and have it display in a terminal before exporting it to your business intelligence platform of choice. Of course, for smaller data sets, you can also export it to Microsoft Excel.
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SAS
SAS BI is good for creating reports and dashboards and then sharing it with the users. It also has ability to manage access to the reports and dashboards but somehow with most of the world moving to open source languages R, Python and Julia, SAS BI feels to be archaic in terms of feature set and integrations it allow[s]. Also, comparing it with other Business Intelligence tools like Tableau and Microsoft BI, the functionality of SAS BI is very limited and doesn't justify the pricing.
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Support Rating
Apache
We went with a third party for support, i.e., consultant. Had we gone with Azure or Cloudera, we would have obtained support directly from the vendor. my rating is more on the third party we selected and doesn't reflect the overall support available for Hadoop. I think we could have done better in our selection process, however, we were trying to use an already approved vendor within our organization. There is plenty of self-help available for Hadoop online.
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SAS
When you call tech support, you are immediately routed to a person who can answer your question. Often they can answer on the spot. However, if they cannot, you are given a track number and then followed up with. There have been times when I have had multiple track numbers open and they will actually TRACK YOU DOWN to ensure that your problem has been resolved. Issues do not fall into black holes with SAS. They are also willing to do a WebEx with you to diagnose the problem by seeing your environment, which is always helpful.
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Online Training
Apache
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
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SAS
No answers on this topic
Alternatives Considered
Apache
Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.
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SAS
SAS Business Intelligence is not the cream of the crop for business intelligence applications, but it is not far behind. The software is generally easier to apply than most other business intelligence software. Additionally, SAS Business Intelligence runs smoothly in the background when making real-time updates. With that said, the software is not as efficient of many of the other business intelligence software applications that have been on the market for longer than this one.
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Return on Investment
Apache
  • There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
  • Hadoop is quite interesting due to its new and improved features plus innovative functions.
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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.