Difference Between SAS vs RapidMiner
Data mining has a wide application in marketing and advertising products, crime investigations to high-level intelligence. Data mining is the set of methodologies used in analyzing data, finding hidden patterns, classifying, clustering data into groups. To do quick analysis data mining techniques have different tools for implementation. There is a list of tools available. This SAS vs RapidMiner article deals with two data mining tools and strategies for analysis and mining different sources of data. They are RapidMiner vs SAS.
What is SAS?
SAS – It stands for Statistical Analysis System which presents SAS business intelligence and analytics solution. developed by SAS Institute. The frequently used tool in commercial analytics marketing. Even people with basic knowledge in SQL can learn it easily.
What is RapidMiner?
RapidMiner – It’s an open source data mining solution. It enables users to create, deliver predictive analysis because it has a pervasive set of machine learning (cleaning, transformation, pre-processing, filtering) algorithms and functions. They use client-server model application with Software -as- Service. The process structure is described internally by XML and developed by the Graphical user interface. They have strong enabled Visualizations like 3-D graphs, scatter metrics and self-organizing maps.
Easy to use:
Rapid Miner- It is a user- friendly visual workflow designer software, helps users with data preparation and modeling.
SAS – It can be learned easily without programming knowledge. They have simple coding statements.
Rapid Miner- They have 4- layer security system. The user can log into system or laptop through single – sign- in. With Hadoop, it is solved by Kerberos authentication. They boost security and authentication for big data.
SAS- being closed source, company’s data are safeguarded. Security prevents the data from manipulation. As it works in a closed environment, algorithms used in procedures are not made public.
Rapid miner- Some of the applications are:
- Clinical Data
- In Machine Learning for classification and clustering.
SAS – Some of the SAS application are:
- Factor Analysis (different statistical variables of an outcome, Example: analyzing price, quality, feedback while buying a product).
- Minimize programming effort & saves money and time.
- Predictive analysis (for future work).
- In medicine.
Rapid miner: It uses XML to describe tree modeling and it has a flexible file operator for data input and output file formats.
SAS – 1. Data retrieval and management.
- Report writing and graphics.
Rapid miner- 1. No Coding Required. They have multiple deployment options based on user preference.
SAS – It is the market leader in analytic companies, has a plenty of job opportunity in the fields. It can be easily debugged.
Rapid miner: 1. Expensive licenses need to be purchased.
- They need knowledge of data handling.
SAS: They doesn’t have fancy graphical possibilities.
Head To Head Comparison Between SAS vs RapidMiner (Infographics)
Below is the top 6 difference between SAS vs RapidMiner
Key Differences Between SAS vs RapidMiner
Both SAS vs RapidMiner are popular choices in the market; let us discuss some of the major Difference Between SAS vs RapidMiner:
- RAPID MINER is a powerful data mining tool for building predictive models. They perform hundreds of data preparation and machine learning algorithms to support data mining projects by simply using drag and drop off boxes representing modules called operators. RAPID MINER is a memory-based Systems. They analyze the data as long as it fits the RAM.
- A key advantage of SAS is they are simple to learn. Adapted effectively by one with no programming knowledge. They have the potential to deal with huge data sets and data handling.
- SAS works in many Platform. It has strong data access with good data visualizations ability. Even Rapid Miner is platform – independent and runs on different platforms. They have limited Graphical user Interface ability. An online data service has been improved in Rapid Miner.
- Speaking about Customer support Rapid miner has tiered support levels, Documents and forums are publicly available and also has additional support with paid edition. Whereas SAS has process improvements.
- Coming to maintainability in RapidMiner updates are optional, but easily manageable.
Examples Between SAS vs RapidMiner
- The below example shows how SAS works
INPUT NAME $ 1-3 SEX $ 5 length $ 2 breadth $ 2
divya F 12 2
prabha M 4 4
Suma F 2 6
VAR SEX, LENGTH, BREADTH;
PLOT LENGTH * BREADTH;
The input statements – variables are named, sex.
Proc means procedure means, calculates the means for every variable.
PLOT – plot the values for length and breath.
- Rapid Miner works in:
- Rapid miner studio (accelerating prototype & interface, we can access, load data)
- Rapid Miner server (increases productivity of data science).
SAS vs RapidMiner Comparison Table
Below is the topmost comparison between SAS vs RapidMiner
|The basis of comparison between SAS vs RapidMiner||
|Working Platform||Rapid Miner is an open source platform (Cross Platform- can be installed in different OS).||SAS isn’t an open source. therefore, the algorithms defined in the SAS system are not made open. It’s a licensed product. Numerous packages are paid here.|
|Ranking||Ranking 4th in data science||Ranking 5th in Data Science|
|Language used and its Type||Raid miner uses Java Programming Language. They have easily understandable graphs and charts||SAS is a procedural Language, with no of lines of codes.|
Ease of use
|Easy to use. Doesn’t require technical users. It includes a lot of data mining libraries and algorithms to work with.||Easily accessible web-based development. They have good performance and scalability.|
|Processing Steps||It works with the cloud domain.
|SAS process consists of three steps:
|COST||Quite expensive and it consumes a lot of RAM which freezes the computer, doesn’t work well with big data.||The cost for SAS is slightly restrictive. Since it’s a closed source individual find difficult in accessing applications without a license.|
Conclusion – SAS vs RapidMiner
SAS is a good Model development using base SAS which is completely code driven. The scalability issue associated with it is due to slow down of RAM. Statistical analyses in SAS is done by direct Programming and use of SAS Analyst. They are leading in the market as advanced predictive analysis share. Rapid miner is the only tool which is Language independent. Their functionality is extended with additional plug-ins. The results are displayed in multiple formats (as table / Statistical). It lacks market standard levels.
This has a been a guide to the top difference between SAS vs RapidMiner. Here we also discuss the RapidMiner vs SAS key differences with infographics, and comparison table. You may also have a look at the following articles to learn more –