Anaconda AI Platform

My main use case for Anaconda Business  is enterprise data science and machine learning, along with secure package and dependency management, which I primarily use for day-to-day tasks.

A specific example of how I use Anaconda Business  in my work includes tasks and projects where it has significantly helped with centralized environment management, government compliance, and related requirements.

Anaconda Business has positively impacted my organization in several meaningful ways.

The positive impact of Anaconda Business includes improved security and trust, better collaboration and productivity, and operational efficiency.

Specific examples of improvements since using Anaconda Business include faster environment setup, where teams can instantly create and share standardized environments, eliminating dependency hell and allowing focus on analysis rather than administrative work. Additionally, utilizing pre-vetted secure packages in the centralized repository and mirroring has provided significant benefits.

Some of the best features Anaconda Business offers include a centralized package repository, role-based access control, enterprise-grade security, consistent and reproducible environments, cloud and on-premises flexibility, and performance optimization.

I rely on the centralized package repository the most, which provides a private and secure package repository for Python and R, and it has made the biggest difference in my work.

Packages in Anaconda Business are scanned for security vulnerabilities and license compliance before release, which significantly reduces risks compared to public repositories such as PyPI and Conda-forge.

Anaconda Business can be improved by simplifying the user experience, enhancing cloud-native features, improving integration with DevOps and MLOps pipelines, adding more AI-powered management tools, expanding the package ecosystem, and developing more collaboration and knowledge-sharing features.

Additionally, stronger governance automation should be implemented, along with more educational and onboarding resources, enhanced customer feedback mechanisms, and community engagement. Pricing and licensing flexibility should also be considered.

I have been using Anaconda Business for a year.

I find Anaconda Business very helpful and convenient to use, which adds something unique to my workflow. I would rate Anaconda Business a nine out of ten.

I give it a nine because I have noticed the need for more AI-powered generating tools and better integration with DevOps pipelines, and I want to see simplified user experiences.

Anaconda Business is deployed in my organization using public cloud only. The cloud provider I use for Anaconda Business is Amazon Web Services  (AWS ). I purchased Anaconda Business through the AWS Marketplace .

Regarding pricing, the publicly listed prices for Anaconda Business are currently fifty US dollars per month, which I find somewhat costly for on-premises and custom enterprise deployments. Pricing for custom deployments is available through contacting sales. Additionally, according to one marketplace listing, there is a price shown of seven hundred fifty dollars per user per year. My overall rating for this product is nine out of ten.

I have been using Anaconda Business  for one year now.

My main use case for Anaconda Business  includes secure open source package usage, centralized package and environment management, secure environments, enterprise scale deployment, and data science.

One example of how I use Anaconda Business in my daily work is that without Anaconda, every developer installs packages manually, such as one person installing pandas 2.2 and another installing 2.0, which can create a legal risk if someone accidentally installs a package with a GPL license. A package update can introduce security vulnerabilities. With Anaconda Business, everyone works with the same versions, zero security warnings, and code runs the same way in development and production, which leads to less debugging, more productivity, and much more.

Anaconda Business fits well into my workflow, and there is nothing else to add about my use case.

Anaconda Business offers several best features including a trusted distribution of science curated package repositories, enterprise-grade governance and security controls, environment and dependency management for all teams across the world, and the ability to get actionable insights and monitoring for additional auditability and scalability.

Anaconda Business has positively impacted my organization by centralizing the approved environment repository, so everyone now works with the same versions, which reduces debugging time and improves collaboration. New developers or data scientists no longer spend days setting up environments manually, which is a very time-consuming process. Now they can simply run one YAML file and start working immediately, saving a lot of time for all developers and the entire team. We also achieve consistent deployment from development to test to production with expected consistency in all environments.

Regarding time saved and productivity improvements since using Anaconda Business, environment setup time for new team members previously took one to two days, but after implementing Anaconda Business, it only takes one to two hours, resulting in eighty to ninety percent time saved. Additionally, debugging due to dependency conflicts previously took three to five hours per developer each week, but now we can solve all issues within one hour, meaning sixty to seventy-five percent of time is reduced. Regarding security, before it took two to three hours per month per project, but now it is fully automated and monitored, meaning one hundred percent time is saved.

Using Anaconda Business, I have seen huge time-saving due to the automation of monitoring and deployment, which has led to significant improvements.

Anaconda Business could be improved because currently, if a package is not added to the curated repository, our teams may wait hours or days for security license validation. I suggest implementing an automated fast-track approval pipeline with risk scoring or auto approval for low-risk MIT and BSD packages. Additionally, the existing UI for environment and usage visibility can feel technical and scattered, so I would suggest a more visual dashboard that shows top-used environments, vulnerability alerts, and package version drift across teams.

I reduce the score to nine out of ten because of the UI and responsiveness of Anaconda Business. If there were a better dashboard or more insightful visualizations, that would be more helpful for all developers to monitor their tasks and environments.

I have been using Anaconda Business for one year now.

Anaconda Business is stable with no downtime or reliability issues. Everything is going smoothly.

Anaconda Business scales very well because it is built around centralized environment and package management, meaning as the number of users, projects, or ML workflows grow, Anaconda Business supports them without increasing complexity. It uses role-based access and shared environment repositories, making it easy to onboard new teams without duplications. It stores packages in Amazon S3  or internal object storage, with the repository server running on EC2  or Kubernetes  that can scale vertically or horizontally.

Anaconda Business customer support is very active with a quick response time that aligns perfectly with all our requirements. I appreciate the support team greatly.

Positive

We did not use any solution before Anaconda Business. We later heard about it and started adapting to Anaconda Business and definitely felt a significant improvement in our team and the deployment throughout the entire process.

We did not evaluate other options before choosing Anaconda Business. We felt it was very useful and directly chose to use it.

My number one advice for others looking into using Anaconda Business is to start by standardizing your environment and creating a few base environments to share them across teams early to immediately reduce dependency conflicts, as the real benefit comes from consistency. Additionally, integrating SSO  and IAM  from the beginning and creating a core approved package list while using Anaconda Business in CI/CD or deployment pipelines is very beneficial.

Anaconda Business simplifies deployment and promotes shared environments and standard workflows while enforcing consistency, security, and compliance across the entire data science lifecycle. It enables future scalability as ML workloads and environment complexity grow, providing a foundation that makes ML scaling smoother. Overall, it is very effective and well aligned with all my requirements.

I rate Anaconda Business a nine out of ten.

My main use case for Anaconda Business  is centralized package management and security and compliance for a private repository and team collaboration with enterprise integration in my work.

For example, my company has 50 data scientists working on different machine learning projects. Normally, everyone installs packages such as NumPy, Pandas, or TensorFlow  directly from the public internet, which can cause problems including different versions of the same package causing conflicts, security vulnerabilities, or unapproved licenses, and a lack of control over what is being downloaded from the internet. With Anaconda Business , the IT admin team can host a central private repository of approved packages, block or restrict unapproved or risky packages, and ensure everyone in the company installs the same secure versions of libraries.

Anaconda Business has positively impacted my organization by enhancing security and compliance, providing a consistent environment across teams, improving productivity, ensuring reliable package availability even offline, streamlining governance and control, and allowing better integration with enterprise systems.

Before using Anaconda Business, our data scientists faced issues such as package version conflicts and broken dependencies when setting up environments for new projects, which has now improved productivity.

Anaconda Business's best features in my experience are a secure, curated package repository, centralized package management, access control and governance, enterprise deployment options, reproducible environments, integration with enterprise tools, and commercial support and SLAs.

Out of those, I find myself relying on centralized package management the most day-to-day as an especially valuable feature.

Interaction and speed can be improved.

I have been using Anaconda Business for one year.

Anaconda Business is stable in my experience; I do not encounter any downtime or issues.

Anaconda Business's scalability has been able to grow with my organization's needs.

I have not interacted with their support team, so I do not have an opinion on customer support.

Negative

Anaconda Business is the first solution we have used.

I have seen a return on investment; our employees can complete tasks in less time compared to previously, which is a great help.

My experience with pricing, setup cost, and licensing is that it is a little costly, but it is useful.

Before choosing Anaconda Business, I evaluated other options such as Miniconda.

Anaconda Business is good. My advice for others looking into using Anaconda Business is that it is best to collaborate with teams, it is easy to use, and its scalability is better. I give this product a rating of 9 out of 10.

Anaconda Business  serves as the main solution for security and compliance, scanning packages and vulnerabilities for our organization while ensuring air-gapped and on-premise environment safe access.

Anaconda Business  helps with security and compliance by blocking public packages that have malwares or license risks, keeping our company data, science, and environment secure and compliant.

It mostly helps with security and compliance by providing a safe and curated package repository and checking for vulnerabilities by scanning it, so our teams can only use trusted, approved Python or R packages.

The best features Anaconda Business offers in my experience include a secured package repository, vulnerability scanning, team collaboration tools, and enterprise integration, license, and user tracking.

The repository feature of Anaconda Business ensures that only trusted, verified Python or R packages can be used, and for integration and licensing, it helps to meet compliance requirements that we need, mainly aiding in safe, controlled, and easy Python or R management for enterprise data.

Anaconda Business positively impacts our organization by protecting us from compliance and security risks while keeping the environment consistent, allowing our team to focus on insight and innovation instead of worrying about setups, security, and software issues.

Anaconda Business provides a 60 to 70% faster environment setup, zero security incidents, lower compliance costs, and better productivity.

Anaconda Business can be improved by offering faster package updates, an enhanced user interface, better cloud integration, more detailed analytics, and improved collaboration tools.

While it is already a strong security control, it could be better with faster updates, easier usage, and deeper integration.

Anaconda Business can be improved in terms of collaborative platform features or by making it faster.

I have been using Anaconda Business for the past one year.

Anaconda Business is stable in my experience.

I rate Anaconda Business's scalability a nine.

I would rate the customer support a seven. I have not had any experiences with Anaconda Business customer support.

Positive

I did not previously use a different solution; this is the first one and we are using it from the beginning.

My experience with pricing, setup cost, and licensing indicates that it is a bit costly, but it is useful.

We are developers and not a partner; we provide some of our support or development to our clients, but we do not have a business relationship with the vendor beyond being a customer.

I have seen a return on investment with time saved by 50% and less downtime, allowing the team to deliver projects faster with fewer errors.

My experience with pricing, setup cost, and licensing indicates that it is a bit costly, but it is useful.

Before choosing Anaconda Business, we first thought about Docker .

I rate Anaconda Business 8 out of 10.

I chose 8 out of 10 due to the need for a faster environment and the collaboration tools can be improved.

I advise others looking into using Anaconda Business that it is best to use it over Docker  or other options since it is faster, easy to use, and easy to collaborate.

I found this interview good, better, faster, and friendly, and I do not think anything should change for the future. My overall review rating for Anaconda Business is 8 out of 10.

Negative