What users are saying about

RapidMiner Studio

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Top Rated
39 Ratings
338 Ratings
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Score 8.8 out of 101

RapidMiner Studio

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Top Rated
39 Ratings
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Score 8.5 out of 101

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Likelihood to Recommend

Amazon Web Services

Amazon Web Services is well suited for companies or organizations that need to run specific applications or virtual services on servers. The cost-per-server ratio makes this ideal for testing and live deployment scenarios. It is especially ideal for smaller to medium size IT development teams. If you are looking to just set up a website, for example, AWS may not be ideal unless you are having it custom built.
Nathan Sichilongo profile photo

RapidMiner Studio

RapidMiner has been used as a teaching aid in my classes, and I found it effective in educating data mining and analytics students. RapidMiner is well suited for any descriptive and predictive analytics because it has a pervasive set of machine learning algorithms, i.e. classification, regression, clustering, association rule mining, and other applications such as text mining. However, RapidMiner Studio is not yet designed for prescriptive analytics (i.e. solving optimization problem) such as solving scheduling, logistic route planning or bin packing problems. It has a great facility to find an optimal parameter for an algorithm but not yet for solving automatic scheduling and planning problems.
Mohd Zakree Ahmad Nazri profile photo

Feature Rating Comparison

Infrastructure-as-a-Service (IaaS)

Amazon Web Services
8.3
RapidMiner Studio
Service-level Agreement (SLA) uptime
Amazon Web Services
8.9
RapidMiner Studio
Dynamic scaling
Amazon Web Services
9.1
RapidMiner Studio
Elastic load balancing
Amazon Web Services
8.7
RapidMiner Studio
Pre-configured templates
Amazon Web Services
7.6
RapidMiner Studio
Monitoring tools
Amazon Web Services
7.5
RapidMiner Studio
Pre-defined machine images
Amazon Web Services
7.9
RapidMiner Studio
Operating system support
Amazon Web Services
7.9
RapidMiner Studio
Security controls
Amazon Web Services
8.4
RapidMiner Studio

Platform Connectivity

Amazon Web Services
RapidMiner Studio
10.0
Connect to Multiple Data Sources
Amazon Web Services
RapidMiner Studio
10.0
Extend Existing Data Sources
Amazon Web Services
RapidMiner Studio
10.0
Automatic Data Format Detection
Amazon Web Services
RapidMiner Studio
10.0

Data Exploration

Amazon Web Services
RapidMiner Studio
9.0
Visualization
Amazon Web Services
RapidMiner Studio
10.0
Interactive Data Analysis
Amazon Web Services
RapidMiner Studio
8.0

Data Preparation

Amazon Web Services
RapidMiner Studio
9.0
Interactive Data Cleaning and Enrichment
Amazon Web Services
RapidMiner Studio
10.0
Data Transformations
Amazon Web Services
RapidMiner Studio
10.0
Data Encryption
Amazon Web Services
RapidMiner Studio
6.0
Built-in Processors
Amazon Web Services
RapidMiner Studio
10.0

Platform Data Modeling

Amazon Web Services
RapidMiner Studio
9.5
Multiple Model Development Languages and Tools
Amazon Web Services
RapidMiner Studio
10.0
Automated Machine Learning
Amazon Web Services
RapidMiner Studio
10.0
Single platform for multiple model development
Amazon Web Services
RapidMiner Studio
10.0
Self-Service Model Delivery
Amazon Web Services
RapidMiner Studio
8.0

Model Deployment

Amazon Web Services
RapidMiner Studio
5.0
Flexible Model Publishing Options
Amazon Web Services
RapidMiner Studio
5.0

Pros

  • The ability to scale vertically and horizontally easily.
  • The ability to get server notifications
  • Ease of use within the AWS GUI
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  • A great tool to start exploring data science and machine learning. Its intuitive GUI, tutorials, help window, sample processes, and recommendations make it the best place to learn and expand your knowledge horizon.
  • RapidMiner is an expert in building end to end solutions. Creating a process in the studio and then running it in production using the server is easy and fast. And also using web services, we can integrate the solution into an organization's in-house application or create a new web application in RapidMiner server. This makes solution delivery faster compared to R and Python.
  • Text mining and analytics capability in RapidMiner. I think text processing is very easy here. Using Rosette and deep learning extensions, I have delivered such great solutions.
  • Smart Automations like automatically identifying parameter values, auto model and turbo prep etc. saves a lot of time and provide better results
Sheetal Sahu profile photo

Cons

  • Better user support would be nice. It seems hard to find help when you need something specific from an Amazon employee.
  • Even though the prices are set up for enterprise they do seem high for small to mid level businesses, compared to other alternatives.
  • It would be nice to be able to have some type of DB security built in to the EC2s or as a default.
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  • As the company has grown, support has been a challenge at times. A better response time would be nice.
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Likelihood to Renew

Amazon Web Services9.4
Based on 10 answers
AWS has met our requirements, including the pricing. There is no need to move off of AWS at this time.
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RapidMiner Studio9.0
Based on 1 answer
Very fast and user-friendly tool
David Baltar Boilève profile photo

Usability

Amazon Web Services9.0
Based on 3 answers
The management console is the weak part of the service in my experience. It is adequate but slow.
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RapidMiner Studio9.0
Based on 1 answer
Very use to use and learn
David Baltar Boilève profile photo

Reliability and Availability

Amazon Web Services9.0
Based on 1 answer
Availability is very good, with the exception of occasional spectacular outages.
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No score
No answers yet
No answers on this topic

Performance

AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.
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No answers on this topic

Support

Amazon Web Services3.0
Based on 3 answers
Neutral, no experience with either.
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No score
No answers yet
No answers on this topic

Implementation

Amazon Web Services10.0
Based on 3 answers
The API's were very well documented and was Janova's main point of entry into the services.
Brian Lusenhop profile photo
No score
No answers yet
No answers on this topic

Alternatives Considered

The iwgcr.org publishes uptime statistics of cloud vendors over the past 7 years. Use this as a baseline comparison for your business needs, but be sure to understand the HA & DR capabilities as they will probably offset the poor uptime statistics you will see for AWS.
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We selected RapidMiner due to ease of use and a comfortable user interface. It stacks up very well against these tools in the predictive analytics space. For basic analytics and data reporting, we chose QlikView and Qlik Sense as a more robust reporting platform.
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Return on Investment

  • The efficiency of application integration with other services has been greatly increased
  • Internal resources are no bogged down with custom interface challenges
  • IT does not need to implement and maintain the hardware infrastructure necessary to support the application
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  • Positive impact in efficiencies surrounding pipeline development and targeting
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Pricing Details

Amazon Web Services

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

RapidMiner Studio

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