The Dataiku platform unifies all data work, from analytics to Generative AI. It can modernize enterprise analytics and accelerate time to insights with visual, cloud-based tooling for data preparation, visualization, and workflow automation.
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SAS Enterprise Miner
Score 9.0 out of 10
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SAS Enterprise Miner is a data science and statistical modeling solution enabling the creation of predictive and descriptive models on very large data sources across the organization.
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Pricing
Dataiku
SAS Enterprise Miner
Editions & Modules
Discover
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Business
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Enterprise
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Offerings
Pricing Offerings
Dataiku
SAS Enterprise Miner
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Dataiku
SAS Enterprise Miner
Features
Dataiku
SAS Enterprise Miner
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Dataiku
9.1
Ratings
8% above category average
SAS Enterprise Miner
8.8
Ratings
5% above category average
Connect to Multiple Data Sources
10.00 Ratings
8.10 Ratings
Extend Existing Data Sources
10.00 Ratings
9.00 Ratings
Automatic Data Format Detection
10.00 Ratings
9.30 Ratings
MDM Integration
6.50 Ratings
9.00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Dataiku
10.0
Ratings
18% above category average
SAS Enterprise Miner
8.1
Ratings
3% below category average
Visualization
9.90 Ratings
7.10 Ratings
Interactive Data Analysis
10.00 Ratings
9.10 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Dataiku
10.0
Ratings
20% above category average
SAS Enterprise Miner
8.0
Ratings
2% below category average
Interactive Data Cleaning and Enrichment
10.00 Ratings
7.80 Ratings
Data Transformations
10.00 Ratings
8.20 Ratings
Data Encryption
10.00 Ratings
8.10 Ratings
Built-in Processors
10.00 Ratings
8.10 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Dataiku
8.7
Ratings
4% above category average
SAS Enterprise Miner
8.8
Ratings
5% above category average
Multiple Model Development Languages and Tools
5.10 Ratings
7.50 Ratings
Automated Machine Learning
10.00 Ratings
9.80 Ratings
Single platform for multiple model development
10.00 Ratings
8.50 Ratings
Self-Service Model Delivery
10.00 Ratings
9.20 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
I would recommend it because it's an amazing tool for different levels of users. From Business Analysts to Data Scientists to Managers, various employees can make use of this tool to make data-driven decisions. I'm not sure about where it would be less appropriate as I'm using it as Data Scientist and so far it pretty much caters to my need.
One of the major flaws is that the tool is basically an interface to SAS/STAT code. It generates code in the background and runs it. Because of that, some errors are warning might be a little difficult to understand for users who aren't proficient with SAS code.
R integration is nice but I would like to see the possibility to integrate even more statistical models different than SAS. That would allow for better performance optimization when really required.
The light client is java based and a little heavy on the OS. It would be nice to get a web-based version of the tool instead of the java one.
As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.
The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.
I have contacted SAS twice in the past year and they have been super responsive both times. They solved my problem. I am also registered for an in-person class next month and they called today to tell me that it will be an online-only session. They apologized for the change and registered me for the online version. Super helpful!
Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.
For those that are used to the SAS ecosystem, SAS Enterprise Miner is a massive move in the right direction. It makes doing analytics much more enjoyable. It is more user-friendly than Spotfire or Kinesis and seems to produce better results overall. SAS Enterprise Miner seems to be written by analysts for analysts.
It has a positive ROI to our business, as our sales lead rate increased after we started recommending SAS EM.
Our business operation numbers improved after we introduced SAS EM and started using predictive analytics for our customer retention and customer chain prediction.
The statistical modelling for the risk controls in our financial department helped to reduce the related residual risk.
