What users are saying about

Hadoop

208 Ratings

SAS Business Intelligence

45 Ratings
Score 8.4 out of 101

Hadoop

208 Ratings
Score 8 out of 101

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Likelihood to Recommend

SAS Business Intelligence

SAS BI is a great BI tool as it incorporates the advantage of SAS which is proven to be robust over the years. SAS BI is more suitable for a relatively larger organization which is looking for self-service BI tools where most of the users are not technically proficient. Also, since license fee is an on a higher end, smaller organizations will find it hard to afford SAS.
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Hadoop

Hadoop is well suited for healthcare organizations that deal with huge amounts of data and optimizing data.
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Feature Rating Comparison

BI Standard Reporting

SAS Business Intelligence
7.5
Hadoop
Pixel Perfect reports
SAS Business Intelligence
8.0
Hadoop
Customizable dashboards
SAS Business Intelligence
7.8
Hadoop
Report Formatting Templates
SAS Business Intelligence
6.8
Hadoop

Ad-hoc Reporting

SAS Business Intelligence
7.4
Hadoop
Drill-down analysis
SAS Business Intelligence
8.5
Hadoop
Formatting capabilities
SAS Business Intelligence
7.6
Hadoop
Integration with R or other statistical packages
SAS Business Intelligence
5.9
Hadoop
Report sharing and collaboration
SAS Business Intelligence
7.7
Hadoop

Report Output and Scheduling

SAS Business Intelligence
8.2
Hadoop
Publish to Web
SAS Business Intelligence
8.0
Hadoop
Publish to PDF
SAS Business Intelligence
8.6
Hadoop
Report Versioning
SAS Business Intelligence
8.1
Hadoop
Report Delivery Scheduling
SAS Business Intelligence
8.2
Hadoop
Delivery to Remote Servers
SAS Business Intelligence
7.9
Hadoop

Data Discovery and Visualization

SAS Business Intelligence
7.8
Hadoop
Pre-built visualization formats (heatmaps, scatter plots etc.)
SAS Business Intelligence
8.0
Hadoop
Location Analytics / Geographic Visualization
SAS Business Intelligence
6.9
Hadoop
Predictive Analytics
SAS Business Intelligence
8.4
Hadoop

Access Control and Security

SAS Business Intelligence
8.3
Hadoop
Multi-User Support (named login)
SAS Business Intelligence
7.9
Hadoop
Role-Based Security Model
SAS Business Intelligence
8.0
Hadoop
Multiple Access Permission Levels (Create, Read, Delete)
SAS Business Intelligence
8.5
Hadoop
Single Sign-On (SSO)
SAS Business Intelligence
8.8
Hadoop

Mobile Capabilities

SAS Business Intelligence
7.5
Hadoop
Responsive Design for Web Access
SAS Business Intelligence
8.5
Hadoop
Dedicated iOS Application
SAS Business Intelligence
7.0
Hadoop
Dedicated Android Application
SAS Business Intelligence
7.0
Hadoop
Dashboard / Report / Visualization Interactivity on Mobile
SAS Business Intelligence
7.5
Hadoop

Application Program Interfaces (APIs) / Embedding

SAS Business Intelligence
7.5
Hadoop
REST API
SAS Business Intelligence
8.0
Hadoop
Javascript API
SAS Business Intelligence
8.0
Hadoop
iFrames
SAS Business Intelligence
6.5
Hadoop
Java API
SAS Business Intelligence
6.5
Hadoop
Themeable User Interface (UI)
SAS Business Intelligence
10.0
Hadoop
Customizable Platform (Open Source)
SAS Business Intelligence
6.0
Hadoop

Pros

  • SAS BI makes it very easy to create interactive dashboards even for someone who is not from an IT background. For some specific requirements, basic knowledge of SQL is good enough.
  • A lot of functions have been predefined which makes it very convenient to create dashboards and reports. One doesn't need to be from an IT or a programming background to understand and create dashboards.
  • It supports other programming languages like R and also has a seamless API integration with various data management platforms.
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  • Hadoop is an excellent framework for building distributed, fault tolerant data processing systems which leverage HDFS which is optimized for low latency storage and high throughput performance.
  • Hadoop Map reduce is a powerful programming model and can be leveraged directly either via use of Java programming language or by data flow languages like Apache Pig.
  • Hadoop has a reach eco system of companion tools which enable easy integration for ingesting large amounts of data efficiently from various sources. For example Apache Flume can act as data bus which can use HDFS as a sink and integrates effectively with disparate data sources.
  • Hadoop can also be leveraged to build complex data processing and machine learning workflows, due to availability of Apache Mahout, which uses the map reduce model of Hadoop to run complex algorithms.
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Cons

  • 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.
Tapan Jain profile photo
  • Compatibility with Windows Systems
  • Security needs more focus
  • Hadoop lack in real time processing
Kartik Chavan profile photo

Likelihood to Renew

SAS Business Intelligence9.3
Based on 3 answers
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.
Nicole Jagusztyn profile photo
Hadoop9.6
Based on 8 answers
Only a small portion of Hadoop's capabilities have been explored within our organization. Scalability is not a labor/cost intensive exercise and new workload management features of YARN are very attractive.
Andrea Krause profile photo

Usability

No score
No answers yet
No answers on this topic
Hadoop9.0
Based on 3 answers
I found it really useful during my academic projects. Data handling for large data sets was easy with Hadoop. It used to work really fast for bigger data sets. I found it reliable.
Tushar Kulkarni profile photo

Support

SAS Business Intelligence10.0
Based on 1 answer
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.
Nicole Jagusztyn profile photo
Hadoop6.0
Based on 1 answer
No answer on this topic is available.

Online Training

No score
No answers yet
No answers on this topic
Hadoop6.1
Based on 2 answers
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
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Breadth of Deployment

about 100 users, about 10 departments
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No answers on this topic

Alternatives Considered

Tapan Jain profile photo
  • For real-time streaming, use Spark; can provide a stark contrast to the way MR works
  • Hadoop offers a scalable, cost-effective and highly available solution for big data storage and processing.
  • Amazon Redshift is somewhat closer to Hadoop. But to analyze Petabytes of data Hadoop as better performance.
  • Hadoop is being open source, is cheaper to use and do POCs for client
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Collaboration and Sharing

SAS Business Intelligence9.0
Based on 5 answers
It makes collaboration easy by letting people comment on charts and reports and then let others also contribute with their comments. It also has the feature to schedule the delivery of reports via email to designated users which makes it easy for them to remain updated even on the go rather than opening other applications or checking the report on the web for the same.
Tapan Jain profile photo
Hadoop7.7
Based on 10 answers
  • Access control measures: Apache Sentry provides fine grained role based authorization to data and metadata stored on a Hadoop clusters.Distributed scheduling and coordination of jobs via use of YARN and Apache Oozie.Availability of improved reporting and dashboards for Hadoop via use of vendor driven distributions like
  • Distributed scheduling and coordination of jobs via use of YARN and Apache Oozie.
  • Availability of improved reporting and dashboards for Hadoop via use of vendor driven distributions like Cloudier CDH.
Mrugen Deshmukh profile photo

Data Integration

SAS Business Intelligence9.0
Based on 5 answers
The data source connectivity is decent as it connects with most of the other data management platforms allowing the reports and dashboards to be updated in real time. It also performs well when merging data from more than one source. One thing which I found missing is the support for all open source software like Python ,Apache Spark and Asterix.
Tapan Jain profile photo
Hadoop8.7
Based on 10 answers
  • Ease of merging data is a major reason for Hadoop's success, with a growing number of tools available for easy ingestion of data from disparate sources, some examples are Apache Flume and Apache Kafka.
  • Many major database vendors are now providing tools and plugins to pull data from the database into Hadoop for offline processing.
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Return on Investment

  • Positive Impact: better customer service. We have been able to deliver reports that will help multiple employees and implement any feedback they have on those reports quickly.
  • Positive Impact: increased inter-departmental discussions. We have long had a problem working in silos. Now we are pulling data from multiple departments into one report, and it becomes easy to see how what one department is doing in affecting another. We had a meeting to discuss a preliminary report on course scheduling efficiency. It included data from our Facilities folks and our academic Deans. Once we put the numbers up on the screen, there spawned a helpful discussion about how what one department can do to help another.
  • Positive Impact: organizational transparency. For the first time, our users are exposed to a wealth of data about themselves and other areas of the college. It is starting to make some question the way we do business, and if there is a better way.
Nicole Jagusztyn profile photo
  • Hadoop has made it possible to implement projects that require large amounts of data from a diverse set of source systems.
  • Hadoop has also taken load off the Enterprise Data Warehouse space by absorbing some of the analytics and model building work.
Andrea Krause profile photo

Pricing Details

SAS Business Intelligence

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

Hadoop

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