Anaconda Business Reviews

Name: Anaconda Business
Brand: Anaconda
Rating: 4.1 (19 reviews)

4.1 out of 5

19 reviews
95% willing to recommend

What is Anaconda Business?

Anaconda Business provides a comprehensive platform for data science applications, integrating extensive libraries and seamless Python and R compatibility, enhancing developer productivity.

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Anaconda Business is the #11 ranked solution in top Data Science Platforms. PeerSpot users give Anaconda Business an average rating of 8.2 out of 10. Anaconda Business is most commonly compared to Databricks: Anaconda Business vs Databricks. Anaconda Business is popular among the large enterprise segment, accounting for 68% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 19% of all views.

Helped 863,679 peers since 2012

Featured Anaconda Business reviews

Rohan Sharma

AI/ML Co-Lead at Developer Student Clubs - GGV

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.

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Subhransu Nayak

Consultant - Data Analytics and Reporting at a tech vendor with 51-200 employees

Some basic tutorials can be found on YouTube, which can help you understand how Anaconda services work. Watching these tutorials can make it easier for someone to use the product. Using it for the first time can be considered at a medium difficulty level, neither too easy nor too difficult. The package management system has greatly improved my development process. I can easily install and incorporate any package I need into my work. I rate the overall product an eight out of ten.

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Shmulik Davar

VP Product at Medint

I use Anaconda for predictions, building models, and incorporating them within the product for specific use cases Anaconda is an open-source platform that can integrate numerous other kits and models in one place. It offers effective package management capabilities that are beneficial. By having…

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Anaconda Business mindshare

As of July 2025, the mindshare of Anaconda Business in the Data Science Platforms category stands at 2.1%, down from 2.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Science Platforms

PeerResearch reports based on Anaconda Business reviews

Type	Title	Date
Category	Data Science Platforms	Jul 28, 2025	Download
Product	Reviews, tips, and advice from real users	Jul 28, 2025	Download
Comparison	Anaconda Business vs Databricks	Jul 28, 2025	Download
Comparison	Anaconda Business vs KNIME Business Hub	Jul 28, 2025	Download
Comparison	Anaconda Business vs Amazon SageMaker	Jul 28, 2025	Download

Title	Rating	Mindshare	Recommending
Databricks	4.1	15.9%	96%	91 interviews Add to research
KNIME Business Hub	4.1	11.9%	94%	60 interviews Add to research

Valuable Features

Anaconda Business offers a comprehensive platform for data science applications, providing extensive libraries such as TensorFlow, PyTorch, and scikit-learn. Features like Jupyter notebooks enable on-the-fly code compilation. Its user-friendly interface supports multiple programming languages, including Python and R, with excellent virtualization and cloud-based access. The marketplace allows easy tool installations, enhancing development efficiency. Anaconda’s packaging management and community support are highly regarded, making it beneficial for data professionals.

"Anaconda is an open-source platform that can integrate numerous other kits and models in one place."
"It provides a unified platform where you can install Jupyter, Python Spider, and other related tools without needing separate installations."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."

Room for Improvement

Anaconda Business can enhance performance on open-source systems like Ubuntu and refine the file upload feature. Documentation should be clearer with step-by-step guides, and more libraries for data projects would be valuable. Users desire a more intuitive interface and additional support for automation and deployment. Better stability, the ability to manage heavy workloads, and improved memory efficiency are necessary. Enhancements in user experience and integration with platforms like Databricks would be beneficial.

"The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools."
"Anaconda consumes a significant amount of processing memory when working on it."
"It also takes up a lot of space."

Pricing

Anaconda Business licensing is considered reasonable for enterprises, with its core being open-source and freely accessible. Many companies utilize the free version, while a paid version is available for enhanced features. Though Anaconda itself doesn't require heavy investment, substantial hardware like GPUs for advanced tasks can incur significant costs. It is compatible across systems and not subscription-based. Users appreciate its integration with open-source tools such as Python and Jupyter.

"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."

Popular Use Cases

Organizations use Anaconda Business primarily for data science activities like model development and analytics. They employ it for machine learning, deep learning, predictive analytics, and developing models with libraries such as Scikit-learn, TensorFlow, and Python. Anaconda enables tasks such as plotting data, building PoCs, and enhancing predictive capabilities across various domains. It's utilized for managing databases, coding in R and Python, and conducting innovative projects, with users often engaging in data wrangling and modeling.

Service and Support

Customers generally report minimal direct interaction with Anaconda Business's technical support, often resolving issues via self-help, documentation, and community resources. The documentation is praised for its comprehensiveness, and the community support is considered extensive and accessible. A user who contacted support received prompt assistance, highlighting its responsiveness. Many users rely on large, active user communities like Stack Overflow and GitHub to resolve concerns. Although direct contact is limited, available support channels are regarded positively.

Deployment

Many users found Anaconda Business's initial setup straightforward, with deployment often completed within a few hours. Some encountered complexities, particularly when dealing with virtual environments or specific configurations. Technical backgrounds often eased the process, though community help was utilized by some. Deployment durations varied, influenced by internal resources and prior experience. A significant portion found it quick once dependencies were in place, highlighting an easy installation for those familiar with its requirements.

Scalability

Anaconda Business demonstrates good scalability suitable for medium-sized projects. Users report varying degrees of scalability success, with some planning to expand and others finding the tool adequate without needing to scale further. Many technicians and developers actively use it, while students and data science teams encounter no significant scalability issues. The system usually accommodates typical needs without performance constraints, primarily dependent on the infrastructure supporting it.

Stability

Stability is generally considered good, with many using Anaconda Business extensively in their production. Users appreciate its reliability, noting no crashes or bugs, though some mention occasional issues like high memory consumption and deployment difficulties. Some say it works well for machine learning applications, while others find it comparable to other data science tools. There's mention of a need to develop from scratch, but many seem satisfied with its stability in various environments.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Anaconda Business Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

Manufacturing Company

University

Government

Insurance Company

Educational Organization

Construction Company

Healthcare Company

Energy/Utilities Company

Transportation Company

Retailer

Real Estate/Law Firm

Non Profit

Comms Service Provider

Performing Arts

Outsourcing Company

Wholesaler/Distributor

Marketing Services Firm

Hospitality Company

Sports Company

Pharma/Biotech Company

Logistics Company

Aerospace/Defense Firm

Venture Capital & Private Equity Firm

Non Tech Company

Media Company

Legal Firm

Compare Anaconda Business with alternative products

Learn more about Anaconda Business

Anaconda Business offers data science professionals a platform combining extensive library support with pre-built models and seamless integration of Python and R environments. With features like a user-friendly interface and integrated Jupyter Notebook, it facilitates real-time code execution and debugging. Environmental management is simplified via Conda, while cloud-based access and package management enhance user experience. Community support and integration with applications like RStudio and Jupyter aid in data science and deep learning tasks.

What are the key features of Anaconda Business?

Extensive Library Support: Access numerous libraries for enhanced development capabilities.
Seamless Python and R Integration: Foster productivity through combined language support.
Cloud-Based Access: Facilitate collaboration and accessibility across teams.
Jupyter Notebook Integration: Enable real-time code execution and debugging.
Conda Environment Management: Simplify setup and management of environments.

What benefits should be considered in Anaconda Business?

Efficient Development: Streamline workflows with comprehensive tool integration.
Enhanced Collaboration: Utilize cloud-based tools for teamwork and data sharing.
Scalability: Adapt to growing workloads with robust capabilities.
Community Support: Leverage community expertise for solutions and troubleshooting.

Anaconda Business is widely used in industries like machine learning and data analysis, where it's employed for tasks such as predictive modeling and data visualization. Organizations utilize its compatibility with tools like Scikit-learn and TensorFlow for creating statistical models, supporting applications in fields such as analytics, education, subrogation, and warehouse management.