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    Anaconda AI Platform

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    Sold by: Anaconda 
    Deployed on AWS
    With 45 million users, Anaconda is the world's most trusted open-source package provider and the foundation of modern AI development. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make possible the advancements of tomorrow. With 93% of Fortune 500 as customers, Anaconda's enterprise-grade solutions enable corporate, research, and academic organizations around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world.

    Overview

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    Anaconda is the world's trusted Python distribution. Installing Anaconda here provides access to Anaconda Distribution, an open-source software repository for data science and AI that includes package and dependency management. It also provides the capabilities of Anaconda AI Platform for securing, governing, and distributing artifacts to users in your organization.

    Anaconda AI Platform includes:

    • Over 300+ open-source data science packages, including NumPy, SciPy, pandas, matplotlib, scikit-learn, and Jupyter.
    • Language-agnostic conda package manager to install more than 4,000 packages, including Tensorflow, Keras, xgboost, and caffe or Miniconda, a minimal bootstrap of conda.
    • Comprehensive security vulnerability monitoring and mitigation by Anaconda's team.
    • Security and governance capabilities, including user-access controls, signature verification, policy filters, and software bill of materials (SBOM).

    Highlights: Anaconda is trusted by the world's most innovative organizations to provide access to popular open-source software packages and capabilities to secure the software supply chain for data science and AI. Access over 12,000 compatible open-source data science and AI packages. Govern use of open-source software across the enterprise and monitor security vulnerabilities.

    Trusted by 50 million users, 95% of Fortune 500 companies, and 79% of the Global 2000, and recognized as one of Fast Company's most innovative companies and G2's Grid Leader in Data Science & Machine Learning, the Anaconda AI Platform centralizes your approach to sourcing, securing, building, and deploying AI, boosting productivity while reducing time, cost, and risk.

    Highlights

    • Anaconda is trusted by the world's most innovative organizations to provide access to popular open-source software packages and capabilities to secure the software supply chain for data science and AI.
    • Access over 300+ open-source data science and AI packages.
    • Govern use of open-source software across the enterprise and monitor security vulnerabilities.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Anaconda AI Platform

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (2)

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    Dimension
    Description
    Cost/12 months
    Starter
    It is only available to individuals, universities, as well as companies with fewer than 200 employees. Any organization of more than 200 employees requires a Business license.
    $180.00
    Business
    Licenses for Access to Business Cloud. Includes Tier 1 support tickets and Tier 2 support hours.
    $600.00

    Additional usage costs (1)

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    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Description
    Cost/unit
    additional_usage
    Additional Usage
    $0.01

    Vendor refund policy

    All fees are non-refundable and non-cancellable except as required by law.

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    Legal

    Vendor terms and conditions

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Anaconda technical support hours are 6 AM to 6 PM CST Monday - Friday.
    https://anaconda.cloud/support-center 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Accolades

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    Top
    10
    In Assessments
    Top
    100
    In ML Solutions

    Overview

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    AI generated from product descriptions
    Package Management
    Language-agnostic conda package manager supporting installation of over 4,000 packages including machine learning frameworks
    Data Science Libraries
    Comprehensive collection of over 300 open-source data science packages including NumPy, SciPy, pandas, matplotlib, scikit-learn, and Jupyter
    Security Governance
    Advanced security capabilities including user-access controls, signature verification, policy filters, and software bill of materials (SBOM)
    Vulnerability Monitoring
    Comprehensive security vulnerability monitoring and mitigation performed by dedicated security team
    Machine Learning Framework Support
    Native integration with popular machine learning frameworks including TensorFlow, Keras, XGBoost, and Caffe
    GPU Acceleration
    Includes NVIDIA drivers, CUDA, and cuDNN for high-performance GPU-based deep learning computations
    Deep Learning Framework
    Pre-installed PyTorch 2.0.1 with support for advanced machine learning model development
    Operating System
    Built on Amazon Linux 2, providing a lightweight and secure cloud-optimized environment
    Machine Learning Libraries
    Pre-configured with essential libraries including TorchVision, NumPy, and PyTorch-related packages
    Cloud Instance Compatibility
    Supports multiple GPU-based EC2 instances for scalable AI training and inference tasks
    Multi-Version Python Support
    Provides multiple Python versions for development and data science environments
    Data Science Package Ecosystem
    Includes extensive collection of popular data science Python packages
    Collaborative Notebook Platform
    JupyterHub server configured for multi-user notebook sharing and collaboration
    Scientific Computing Integration
    Includes SageMath for advanced mathematical and scientific computing capabilities
    Pre-Configured Development Environment
    Pre-configured server environment with comprehensive Python package ecosystem

    Contract

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    Standard contract
    No

    Customer reviews

    Ratings and reviews

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    9 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    reviewer2772066

    Has provided a seamless way to manage packages and set up project environments for routine data cleaning tasks

    Reviewed on Oct 28, 2025
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for Anaconda Business  is basic data manipulation work through Python.

    A specific example of the data manipulation tasks I'm doing with Anaconda Business  is cleaning data, as I use Jupyter Notebooks to write Python code to clean it up.

    What is most valuable?

    The best features Anaconda Business offers are that it's seamless and easy to use, with straightforward access to the applications I need.

    Package management is very straightforward and smooth to use, and setting up personal environments for various projects is really good too; I've done that a couple of times and never had issues.

    Anaconda Business has positively impacted my organization because the people who use it are happy with it; nobody has complained, though I haven't discussed it with many others.

    What needs improvement?

    I'm not sure how Anaconda Business can be improved. It has worked fine for me the way it is, and I haven't experienced any issues, so I don't have any suggestions because it's straightforward for what I do.

    For how long have I used the solution?

    I have been using Anaconda Business for only a few months.

    What do I think about the stability of the solution?

    Anaconda Business is stable, as I've never had any issues with it going down or stopping work.

    What do I think about the scalability of the solution?

    The scalability of Anaconda Business is good; it does everything I need it to do.

    How are customer service and support?

    I cannot speak to the customer support of Anaconda Business because I've never used it. I've worked with our IT a couple of times, but that was different; it wasn't an actual Anaconda Business issue.

    How would you rate customer service and support?

    Negative

    Which solution did I use previously and why did I switch?

    I haven't previously used a different solution. As long as I've worked at Ellucian , we've been using Anaconda Business.

    How was the initial setup?

    I didn't have anything to do with the pricing, setup cost, and licensing of Anaconda Business, so I don't have an opinion.

    What was our ROI?

    I don't have any experience with the return on investment, as I don't have metrics to share regarding time saved, money saved, or fewer employees needed. I'm just an end user that uses it for my day-to-day work.

    What other advice do I have?

    I haven't noticed any specific time savings or workflow ease from Anaconda Business. It is very easy to use, and it's what we're provided to work with.

    My advice to others looking into using Anaconda Business is that it works well, and it's important to read documentation and understand how it works.

    I don't believe my company has a business relationship with this vendor other than being a customer.

    I was offered a gift card or incentive for this review.

    I rate Anaconda Business an 8 out of 10.

    Which deployment model are you using for this solution?

    On-premises
    Db Patil

    Training AI models and collaborating with peers have become more efficient through shared workflows

    Reviewed on Oct 15, 2025
    Review provided by PeerSpot

    What is our primary use case?

    I typically use Anaconda Business  for personal uses; actually, I use Anaconda machine rather than Anaconda Business .

    I use Anaconda Business mainly for development purposes.

    I use Anaconda Business for data analytics, as I train AI models using the many libraries that Anaconda provides, particularly with Python language for training purposes.

    What is most valuable?

    We appreciate Anaconda Business mainly for its features and offerings.

    The scalability of Anaconda Business has been good for our team.

    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.

    What needs improvement?

    The prices for Anaconda Business may need improvement.

    The usability of Anaconda Business is good, with no complaints about that. However, 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.

    For how long have I used the solution?

    I've been working in my current field for about two years.

    What other advice do I have?

    Since the last quarter, we have seen some positive outcomes.

    I would advise others looking into using Anaconda Business to consider everything I have found in my research, as everything, including scalability and product features, is time-efficient.

    On a scale of one to ten, I rate Anaconda Business a ten.

    B Goswami

    Has improved time and data efficiency while supporting secure client projects

    Reviewed on Sep 30, 2025
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for Anaconda Business  is serving my clients with the help of different paths of the platform.

    A specific example of how I use the platform to serve my clients is fetching data to serve and query the interview-perspective point of view.

    I have something else to add about my main use case with Anaconda Business ; sometimes we use it in my startup cases or current hotspot queries. It's not shareable or public, but I use it in my startup also.

    What is most valuable?

    The best features Anaconda Business offers in my experience are all excellent.

    The features that stand out to me the most are its package management, which is very good, and its security, which is also excellent. Its features are highly beneficial.

    Anaconda Business has positively impacted my organization because, when discussing the security point of view, it's exceptional; when comparing it to other solutions, Anaconda Business is superior.

    I can share specific outcomes that show the positive impact, such as when we use feature engineering. Using Anaconda Business in feature engineering terms is excellent for dealing with various types of parameters.

    What needs improvement?

    I think Anaconda Business is performing well overall.

    My suggestion for improvement is that they should enhance the security point of view; it's good, but it needs some more advanced features.

    For how long have I used the solution?

    I have been working in my current field for two years.

    What do I think about the stability of the solution?

    Anaconda Business is stable.

    What do I think about the scalability of the solution?

    Anaconda Business's scalability is good, especially when we discuss features, security, or different aspects; it's good and scalable.

    How are customer service and support?

    The customer support for Anaconda Business provides a better approach.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    I did not previously use a different solution before Anaconda Business.

    What was our ROI?

    I have seen a return on investment; specifically, when we talk about efficiency, it's both time-saving and money-saving.

    What's my experience with pricing, setup cost, and licensing?

    My experience with pricing, setup cost, and licensing is satisfactory.

    Which other solutions did I evaluate?

    I did not evaluate other options before choosing Anaconda Business; I directly chose it because my friend also used this.

    What other advice do I have?

    My advice to others looking into using Anaconda Business is to read some books related to AI technology or how to use AWS , among others, or Anaconda type resources. On a scale of 1-10, I rate Anaconda Business a 10.

    Which deployment model are you using for this solution?

    Private Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Other
    Shmulik Davar

    Open source platform empowers seamless integration and efficient package management

    Reviewed on Apr 09, 2025
    Review provided by PeerSpot

    What is our primary use case?

    I use Anaconda  for predictions, building models, and incorporating them within the product for specific use cases.

    What is most valuable?

    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 control over the integrations, I can do them myself without limitations.

    What needs improvement?

    There is room for improvement, especially regarding deployment. The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools.

    For how long have I used the solution?

    I have been using Anaconda for the past eight or nine years.

    What do I think about the stability of the solution?

    The stability of Anaconda is comparable to other tools used in data science. There are always performance issues within data science, but Anaconda is not different from others.

    What do I think about the scalability of the solution?

    Anaconda does not have scalability restrictions as it depends on the type of machine running it.

    How are customer service and support?

    I have no experience with Anaconda's technical support.

    How would you rate customer service and support?

    Neutral

    Which solution did I use previously and why did I switch?

    I have used other data science platforms like H2O.ai  and Dataiku  but prefer Anaconda due to its open-source nature, which allows better control over what I can do.

    What's my experience with pricing, setup cost, and licensing?

    Anaconda is an open-source tool, so I do not pay anything for it. It is compatible with every tool, regardless of whether it is open source or a paid package.

    Which other solutions did I evaluate?

    I have previously used Dataiku , H2O.ai , and Databricks  for data science solutions.

    What other advice do I have?

    The biggest disadvantage is the amount of time needed for deployment to production. My overall experience with Anaconda is positive, and I would rate it an eight out of ten.

    Which deployment model are you using for this solution?

    On-premises
    IshtiaqueAli

    Unified platform for efficient coding and machine learning

    Reviewed on Sep 24, 2024
    Review provided by PeerSpot

    What is our primary use case?

    We use Anaconda  for data science model and development, specifically for coding in Python. We use it mainly for forecasting and predicting models within the environment of Anaconda  Python.

    How has it helped my organization?

    Anaconda has been very beneficial for our organization. The integration between different utility projects and the overall efficiency for data science and machine learning tasks has been very helpful. It provides a coding environment that saves time in setting up individual tools.

    What is most valuable?

    Anaconda has multiple valuable features. It provides a unified platform where you can install Jupyter, Python Spider, and other related tools without needing separate installations. The ability to work on multiple programming languages like Python, R, and Ruby is also significant. One of the best aspects is the community support.

    What needs improvement?

    Anaconda consumes a significant amount of processing memory when working on it. This is something that needs improvement as it can impact performance.

    For how long have I used the solution?

    I have been using Anaconda for four years.

    What do I think about the stability of the solution?

    Anaconda is stable ninety percent of the time. However, there are occasional delays due to high memory consumption.

    What do I think about the scalability of the solution?

    There is generally no need to scale Anaconda. The tool has minimum system requirements that need to be met for optimal performance.

    How are customer service and support?

    Anaconda has great community support, and its technical support is also helpful.

    How would you rate customer service and support?

    Positive

    How was the initial setup?

    The initial setup of Anaconda is straightforward. One person is enough for the installation and deployment.

    What was our ROI?

    Anaconda is cost-saving as it is open-source and the installation is easy. There is no need for a pricing structure for the basic version.

    What's my experience with pricing, setup cost, and licensing?

    Anaconda does not require a pricing structure, and it is available as an open-source tool. The features of Python, Jupyter, and others are free to use.

    What other advice do I have?

    I'd rate the solution nine out of ten.

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