Anaconda vs SAS Enterprise Miner comparison

Anaconda and SAS are both solutions in the Data Science Platforms category. Anaconda is ranked #13 with an average rating of 8.8, while SAS is ranked #17 with an average rating of 8.5. Anaconda holds a 2.1% mindshare in Data Science Platforms, compared to SAS’s 0.7% mindshare. Additionally, 94% of Anaconda users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Anaconda and SAS Enterprise Miner based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Anaconda vs. SAS Enterprise Miner Report (Updated: July 2024).

Buyer's Guide

Anaconda vs. SAS Enterprise Miner

July 2024

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Categories and Ranking

IBM SPSS Statistics

Mindshare comparison

As of September 2024, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 2.8%, up from 2.4% compared to the previous year. The mindshare of Anaconda is 2.1%, down from 2.3% compared to the previous year. The mindshare of SAS Enterprise Miner is 0.7%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Ali Bin Tahir

Research Executive at NielsenIQ

Mar 1, 2024

Provides comprehensive data analysis and has a simple setup process

We use the product to conduct multiple and diverse statistical analyses across various datasets The software offers consistency across multiple research projects helping us with predictive analytics capabilities. The product’s most valuable capability is to handle large datasets and ensure…

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reviewer1066977

Solution Architect/Technical Manager - Business Intelligence at a tech services company with 5,001-10,000 employees

Dec 15, 2019

Includes lots of pre-built libraries and has good community support

Our team is working on expanding the use of Anaconda. They're doing some research with respect to some of the libraries and modules, trying to do different things with existing datasets. I have been doing some slicing and analysis based on what has already been developed, and we are trying new things now. My advice for anybody who is implementing this solution is to start with a straightforward deployment. However, if they want to start with deep learning immediately, the functionality is there, but I would recommend the full deployment. This is a good solution, but there is a little room for improvement. I would rate this solution an eight out of ten.

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Shilpa Prakash

Analytics Lead at Pegasus

Dec 23, 2019

Good stability, very good data analysis tool pack and excellent documentation

The solution can be used in any domain, including banking, insurance, health care, partitions, classifications, etc. It's basically a complete solution, that helps with data client consolidation It's a VSL service provider, so improvement to an organization depends on how the client designs the…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."

"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."

"It has the ability to easily change any variable in our research."

"The most valuable feature is its robust statistical analysis capabilities."

"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."

"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."

"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."

"You can quickly build models because it does the work for you."

More IBM SPSS Statistics pros

"The most valuable feature is the set of libraries that are used to support the functionality that we require."

"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."

"The solution is stable."

"The documentation is excellent and the solution has a very large and active community that supports it."

"Voice Configuration and Environmental Management Capabilities are the most valuable features."

"The virtual environment is very good."

"The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors."

"I can use Anaconda for non-heavy tasks."

More Anaconda pros

"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."

"Good data management and analytics."

"he solution is scalable."

"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."

"The most valuable feature is the decision tree creation."

"The solution is very good for data mining or any mining issues."

"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."

"The technical support is very good."

More SAS Enterprise Miner pros

Cons

"The technical support should be improved."

"It could provide even more in the way of automation as there are many opportunities."

"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."

"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."

"I think the visualization and charting should be changed and made easier and more effective."

"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."

"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."

"The product should provide more ways to import data and export results that are user-friendly for high-level executives."

More IBM SPSS Statistics cons

"The solution would benefit from offering more automation."

"Anaconda can't handle heavy workloads."

"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."

"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."

"The interface could be improved. Other solutions, like Visual Studio, have much better UI."

"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."

"It also takes up a lot of space."

"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."

More Anaconda cons

"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."

"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."

"Technical support could be improved."

"The ease of use can be improved. When you are new it seems a bit complex."

"The product must provide better integration with cloud-native technologies."

"The solution is much more complex than other options."

"The visualization of the models is not very attractive, so the graphics should be improved."

"The user interface of the solution needs improvement. It needs to be more visual."

More SAS Enterprise Miner cons

Pricing and Cost Advice

"More affordable training for new staff members."

"It's quite expensive, but they do a special deal for universities."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."

"We think that IBM SPSS is expensive for this function."

"The price of IBM SPSS Statistics could improve."

"SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."

"I rate the tool's pricing a five out of ten."

More IBM SPSS Statistics pricing and cost advice

"The product is open-source and free to use."

"The licensing costs for Anaconda are reasonable."

"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."

"The tool is open-source."

"My company uses the free version of the tool. There is also a paid version of the tool available."

"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."

"This solution is for large corporations because not everybody can afford it."

"The solution must improve its licensing models."

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Top Industries

By visitors reading reviews

University

13%

Financial Services Firm

13%

Educational Organization

10%

Computer Software Company

Financial Services Firm

18%

Computer Software Company

10%

Government

Manufacturing Company

Financial Services Firm

23%

University

13%

Educational Organization

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM SPSS Statistics?

The software offers consistency across multiple research projects helping us with predictive analytics capabilities.

See all answers

What is your experience regarding pricing and costs for IBM SPSS Statistics?

While the pricing of the product may be higher, the accompanying service and features justify the investment. However...

See all answers

What needs improvement with IBM SPSS Statistics?

In some cases, the product takes time to load a large dataset. They could improve this particular area.

See all answers

What do you like most about Anaconda?

The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using...

See all answers

What is your experience regarding pricing and costs for Anaconda?

Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding ta...

See all answers

What needs improvement with Anaconda?

A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda...

See all answers

What do you like most about SAS Enterprise Miner?

I like the way the product visually shows the data pipeline.

See all answers

What is your experience regarding pricing and costs for SAS Enterprise Miner?

The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a...

See all answers

What needs improvement with SAS Enterprise Miner?

The product must provide better integration with cloud-native technologies.

See all answers

Comparisons

TIBCO Statistica vs IBM SPSS Statistics

Compared 15% of the time

Alteryx vs IBM SPSS Statistics

Compared 15% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Statistics

Compared 12% of the time

Weka vs IBM SPSS Statistics

Compared 11% of the time

SAS Analytics vs IBM SPSS Statistics

Compared 3% of the time

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Databricks vs Anaconda

Compared 39% of the time

Microsoft Azure Machine Learning Studio vs Anaconda

Compared 12% of the time

Amazon SageMaker vs Anaconda

Compared 11% of the time

Microsoft Power BI vs Anaconda

Compared 9% of the time

KNIME vs Anaconda

Compared 4% of the time

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SAS Visual Analytics vs SAS Enterprise Miner

Compared 41% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 22% of the time

Microsoft Azure Machine Learning Studio vs SAS Enterprise Miner

Compared 15% of the time

RapidMiner vs SAS Enterprise Miner

Compared 14% of the time

KNIME vs SAS Enterprise Miner

Compared 8% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

August 2024

Download IBM SPSS Statistics product report

Buyer's Guide

Anaconda

September 2024

Download Anaconda product report

Buyer's Guide

Data Mining

August 2024

Download SAS Enterprise Miner product report

Also Known As

SPSS Statistics

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Enterprise Miner

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IBM

Anaconda

SAS

Overview

IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.

Sample Customers

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

Buyer's Guide

Anaconda vs. SAS Enterprise Miner

July 2024

Free Report: Anaconda vs. SAS Enterprise Miner

Find out what your peers are saying about Anaconda vs. SAS Enterprise Miner and other solutions. Updated: July 2024.

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