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Anaconda vs Darwin comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

Review summaries and opinions

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

ROI

Sentiment score
8.7
IBM SPSS Statistics delivers 50% ROI by streamlining data analysis, saving time and money for organizations and universities.
No sentiment score available
Sentiment score
6.2
Companies find Darwin efficient, preventing revenue loss and enhancing machine learning, with returns two to three times higher.
 

Customer Service

Sentiment score
6.6
IBM SPSS Statistics users experience varied customer service, generally finding it good; some appreciate prompt assistance, others rarely need support.
Sentiment score
7.6
Anaconda users often solve issues via documentation and community support, with responsive technical support when needed.
Sentiment score
8.4
Darwin's support is highly responsive and efficient, quickly resolving issues and providing valuable guidance, ensuring customer satisfaction.
 

Scalability Issues

Sentiment score
6.5
Users report mixed scalability with IBM SPSS, affected by dataset size, infrastructure, and comparisons to competitors like SAS.
Sentiment score
7.0
Anaconda is scalable and effective for data science, though larger deployments may present challenges for some users.
Sentiment score
6.7
Darwin scales well with challenges on large datasets; plans for expansion need internal changes for wider departmental adoption.
 

Stability Issues

Sentiment score
7.6
IBM SPSS Statistics is reliable, handling large datasets well, though minor issues may occur with low RAM environments.
Sentiment score
7.6
Anaconda is favored for stability and reliability, despite occasional memory delays and deployment issues noted by some users.
Sentiment score
7.0
Darwin's stability has improved, boasting 99% availability, though some issues persist; support is responsive, yet enhancements continue.
 

Room For Improvement

IBM SPSS Statistics needs improvements in visualization, pricing, interface, integration, documentation, and automation for better user experience.
Anaconda requires improved multi-language support, stability, user interface, and documentation to enhance usability and adoption in the community.
Darwin users seek API integration, improved functionality, educational resources, and better automation for precision and transparency in AI processes.
 

Setup Cost

IBM SPSS Statistics is costly, with advanced models up to $7,000, though discounts exist for educational and developing regions.
Anaconda offers a free open-source version with key features, but GPU-intensive tasks may require extra hardware costs.
Darwin's licensing costs are significant yet often seen as valuable, with predictable setup fees and optional costs for integrations.
 

Valuable Features

IBM SPSS Statistics offers a user-friendly interface, robust analysis features, and flexible data handling for comprehensive statistical projects.
Anaconda provides a comprehensive platform for data science with extensive libraries, virtual environments, and intuitive visualization tools.
Darwin excels in data cleaning, model-building, and integration, enhancing productivity and accessibility for non-experts in machine learning.
 

Categories and Ranking

IBM SPSS Statistics
Sponsored
Ranking in Data Science Platforms
9th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
37
Ranking in other categories
Data Mining (3rd)
Anaconda
Ranking in Data Science Platforms
11th
Average Rating
8.2
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
No ranking in other categories
Darwin
Ranking in Data Science Platforms
27th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 2.7%, up from 2.7% compared to the previous year. The mindshare of Anaconda is 2.1%, down from 2.3% compared to the previous year. The mindshare of Darwin is 0.3%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

Md Masudul Hassan - PeerSpot reviewer
Comprehensive data analysis capabilities with a user-friendly interface, providing an efficient and reliable platform for researchers and analysts
I believe that offering short-term SPSS licenses, perhaps when customer sourcing is available, could make it more affordable. These licenses shouldn't include features tailored for universities or large sales organizations. Instead, they could offer discounts or additional facilities for smaller entities to access the software. In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options. For example, offering basic features to the first hundred users can help them become familiar with the software and its capabilities. This approach encourages users to upgrade to higher tiers as they become more experienced and require additional functionality.
Rohan Sharma - PeerSpot reviewer
Provides all the frameworks and makes it easy to create environments for multiple projects
The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda. It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment. However, there are many things in Anaconda that people need to be aware of, so it can be challenging.
AC
Empowers SMEs to build solutions and interface them with the existing business systems, products and workflows.
There's always room for improvement in the UI and continuing to evolve it to do everything that the rest of AI can do. Because it's so much better than traditional methods, we don't get a ton of complaints of, "Oh, we wish we could do that." Most people are happy to see that they can build models that quickly, and that it can be done by the people who actually understand the problem, i.e. SMEs, rather than having to rely on data scientists. There's a small learning curve, but it's shorter for an SME in a given industry to learn Darwin than it takes for data scientists to learn industry-specific problems. The industry I work in deals with tons and tons of data and a lot of it lends itself to Darwin-created solutions. Initially, there were some limitations around the size of the datasets, the number of rows and number of columns. That was probably the biggest challenge. But we've seen the Darwin product, over time, slowly remove those limitations. We're happy with the progress they've made.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
9%
University
8%
Manufacturing Company
8%
Financial Services Firm
19%
Computer Software Company
10%
University
8%
Manufacturing Company
8%
Computer Software Company
25%
Real Estate/Law Firm
14%
Educational Organization
13%
Financial Services Firm
13%
 

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.
What is your experience regarding pricing and costs for IBM SPSS Statistics?
The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive produ...
What needs improvement with IBM SPSS Statistics?
IBM SPSS Statistics does not keep you close to your data like KNIME. In KNIME, at every stage, you can see the result...
What do you like most about Anaconda?
The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using...
What is your experience regarding pricing and costs for Anaconda?
Anaconda does not require a pricing structure, and it is available as an open-source tool. The features of Python, Ju...
What needs improvement with Anaconda?
Anaconda consumes a significant amount of processing memory when working on it. This is something that needs improvem...
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Also Known As

SPSS Statistics
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Overview

 

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
Hunt Oil, Hitachi High-Tech Solutions
Find out what your peers are saying about Anaconda vs. Darwin and other solutions. Updated: December 2024.
824,053 professionals have used our research since 2012.