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Anaconda Business Reviews

Vendor: Anaconda
4.1 out of 5
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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 #7 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 66% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 18% of all views.
Buyer's Guide
Anaconda Business
November 2025
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Helped 872,837 peers since 2012

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Anaconda Business mindshare

As of November 2025, the mindshare of Anaconda Business in the Data Science Platforms category stands at 2.3%, up from 2.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Anaconda Business2.3%
Databricks12.3%
KNIME Business Hub11.2%
Other74.2%
Data Science Platforms

PeerResearch reports based on Anaconda Business reviews

TypeTitleDate
CategoryData Science PlatformsNov 1, 2025Download
ProductReviews, tips, and advice from real usersNov 1, 2025Download
ComparisonAnaconda Business vs DatabricksNov 1, 2025Download
ComparisonAnaconda Business vs Amazon SageMakerNov 1, 2025Download
ComparisonAnaconda Business vs KNIME Business HubNov 1, 2025Download
Suggested products
TitleRatingMindshareRecommending
Databricks4.112.3%96%91 interviewsAdd to research
KNIME Business Hub4.111.2%94%60 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Anaconda Business integrates a vast array of data science applications on a unified platform offering key features like Jupyter notebooks, comprehensive Python and R libraries, and virtual environments. It enables efficient development through easy installation, package management, and a marketplace for tools. Cloud accessibility, user-friendly interface, and strong community support enhance its appeal. It supports feature engineering's security needs and aids quick prototyping with modules like TensorFlow and Pytorch.
  • "Anaconda Business provides a 60 to 70% faster environment setup, zero security incidents, lower compliance costs, and better productivity."
  • "The best features Anaconda Business offers are that it's seamless and easy to use, with straightforward access to the applications I need."
  • "We find the advanced security, governance, and collaborative features for organizations using Python and R particularly useful, as these business plans provided by Anaconda Business have been very helpful."

Room for Improvement

Anaconda Business needs improvements in open-source OS compatibility, documentation clarity, user interface, and support. Users request enhanced multi-language support and additional libraries for computer vision and natural language processing. Security improvements and automation features would be beneficial. Stability issues, handling of heavy workloads, and resource consumption need attention. Simplification of deployment and installation processes is desired. Enhanced integration with cloud-based tools, more statistical modeling, and visualization options are also needed.
  • "Anaconda Business can be improved by offering faster package updates, an enhanced user interface, better cloud integration, more detailed analytics, and improved collaboration tools."
  • "I haven't noticed any specific time savings or workflow ease from Anaconda Business."
  • "The pricing should be a little lower for a single person to use, as it might be affordable for an organization, but for my single use, it is difficult."

Pricing

Anaconda Business users highlight its open-source nature and lack of subscription requirements, making it an affordable option with no direct licensing costs. While the tool itself is free, some organizations may incur additional hardware expenses, especially for tasks requiring powerful GPUs. Its compatibility with all systems and integration with features like Python and Jupyter enhance its value proposition, offering a cost-effective solution for enterprise buyers.
  • "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

Anaconda Business is utilized for developing machine learning and deep learning models, predicting outcomes, and conducting analytics. Users employ tools like Jupyter, R, and Python for tasks including data plotting and model building. It serves purposes such as data management in warehouses, insurance claim analysis, academic projects, and custom client solutions. Its versatility supports activities like data wrangling, subrogation analysis, and forecasting within a unified platform.

Service and Support

Many users haven't interacted with Anaconda Business technical assistance, relying instead on community and personal expertise. Those who have contacted support found it responsive, with quick replies. The extensive documentation and large communities provide ample help, minimizing the need to reach out directly. Anaconda's customer service and support are considered good, with helpful responses when needed. Community and documentation make handling common issues manageable for users.

Deployment

Many found Anaconda Business's initial setup straightforward, though some noted complexities with virtual environments and configurations. The time for deployment varied, with reports ranging from minutes to a few days. Some teams tackled it independently, using consultants or community help for guidance. A technical background eased the process for a few, while others appreciated Anaconda Business's simplicity and clear instructions for setup and deployment.

Scalability

Anaconda Business is generally considered scalable by users, though experiences vary. While larger organizations find scalability good for medium-sized projects, some face challenges expanding beyond their current capacity. Most users haven't explored significant scaling, but find it meets their needs, especially for data science applications. Users report good performance when adhering to system requirements, with no inherent scalability limitations based on machine type. Many plan to increase usage as they explore scaling options.

Stability

Customers generally find Anaconda Business stable, with many noting its reliability and lack of bugs. It competes well with other data science tools like RStudio, despite occasional delays and high memory usage. Some users believe its stability could improve, as there are reports of deployment issues. Nevertheless, most are satisfied with its performance, especially for machine learning applications, and find it fits well into their production environments without dependency concerns.
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
Company SizeCount
Small Business9
Midsize Enterprise2
Large Enterprise12
By reviewers
By visitors reading reviews
Company SizeCount
Small Business60
Midsize Enterprise42
Large Enterprise196
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
8%
University
8%
Computer Software Company
8%
Government
6%
Insurance Company
6%
Transportation Company
4%
Performing Arts
4%
Retailer
4%
Construction Company
3%
Educational Organization
3%
Healthcare Company
3%
Non Profit
3%
Comms Service Provider
3%
Energy/Utilities Company
3%
Outsourcing Company
3%
Real Estate/Law Firm
2%
Logistics Company
2%
Wholesaler/Distributor
1%
Marketing Services Firm
1%
Media Company
1%
Sports Company
1%
Pharma/Biotech Company
1%
Aerospace/Defense Firm
1%
Venture Capital & Private Equity Firm
1%
Non Tech Company
1%

Compare Anaconda Business with alternative products

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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.

Anaconda Business customers

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

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Anaconda Business Reviews Summary
Author infoRatingReview Summary
Product managaer at Zidio development5.0I've found Anaconda Business highly effective for client work and startups, especially in data management and security, though adding more advanced security features would help. It's stable, scalable, and delivers strong ROI in both time and cost savings.
Analyst at Tata consultancy services4.0I've used Anaconda Business for a year to ensure secure, compliant package management; it’s improved productivity and setup speed, though faster updates and better collaboration tools would help. Overall, it's effective despite being somewhat costly.
VP Product at Medint4.0No summary available
Cluster Manager - Risk at a financial services firm with 10,001+ employees4.0In my experience, Anaconda struggles with heavy workloads, and I wish it could integrate with Databricks for better enterprise-level data handling. While Databricks handles large data well, Anaconda is preferable for development due to lower computing costs.
AI/ML Co-Lead at Developer Student Clubs - GGV5.0I started using Anaconda during my first year to learn Python on a MacBook with an M1 chip. Anaconda simplifies creating environments for multiple projects, but it's behind in automated data cleaning and could benefit from a graphical user interface.
Senior Consultant at a tech vendor with 1,001-5,000 employees3.5I've used Anaconda Business for basic data cleaning in Python, and it's been seamless and stable. It's easy to manage environments, and though I haven't seen major efficiency gains, it reliably supports my daily work.
Product Engineer at a tech vendor with 10,001+ employees5.0I use Anaconda Business mainly for AI development and data analytics with Python. Its scalability and security features are great, but the pricing is high for personal use. Overall, I’m satisfied and would recommend it.
Consultant - Data Analytics and Reporting at a tech vendor with 51-200 employees4.0I use Anaconda primarily for Jupyter Notebook due to its cloud-based accessibility, which simplifies bug and error handling. However, the user interface could be more attractive and user-friendly, as it currently feels mundane.