Has ensured secure package usage and reduced version conflicts across teams
What is our primary use case?
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.
How has it helped my organization?
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.
What is most valuable?
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.
What needs improvement?
Interaction and speed can be improved.
For how long have I used the solution?
I have been using Anaconda Business for one year.
What do I think about the stability of the solution?
Anaconda Business is stable in my experience; I do not encounter any downtime or issues.
What do I think about the scalability of the solution?
Anaconda Business's scalability has been able to grow with my organization's needs.
How are customer service and support?
I have not interacted with their support team, so I do not have an opinion on customer support.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
Anaconda Business is the first solution we have used.
What was our ROI?
I have seen a return on investment; our employees can complete tasks in less time compared to previously, which is a great help.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing is that it is a little costly, but it is useful.
Which other solutions did I evaluate?
Before choosing Anaconda Business, I evaluated other options such as Miniconda.
What other advice do I have?
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.
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?
All-in-One Python Solution, But Heavy on Storage and Updates
What do you like best about the product?
Anaconda offers a comprehensive environment that greatly simplifies working with Python and various data science tools. I appreciate that it comes pre-installed with many of the key libraries I rely on for my academic and research projects, such as NumPy, Pandas, Matplotlib, and Jupyter Notebook. Managing multiple environments for different projects—like thesis work, school assignments, or data analysis—is also very convenient. The installation process is simple, and I rarely have to deal with package compatibility problems.
We (at the university) have used it everyday since I started my masters degree. It was really easy to integrate with my environment.
What do you dislike about the product?
The primary drawback of Anaconda is that it tends to consume a significant amount of storage and memory. On older computers, it can take a noticeable amount of time to load, and it occupies more disk space than simply installing Python and the required packages individually. Occasionally, updating or switching between environments leads to minor dependency conflicts that I have to resolve manually. Additionally, having to download or update the entire distribution seems excessive when I only need a handful of specific libraries.
Sometimes Customer Support could take long to respond a ticket, but they resolve your doubts.
What problems is the product solving and how is that benefiting you?
Anaconda helps me manage all my Python environments and dependencies in one place, which used to be a major headache when switching between academic and personal projects. For my thesis and data analysis work, it provides a consistent setup with libraries like NumPy, pandas, and scikit-learn ready to use without version conflicts.
It also simplifies working with machine learning and AI frameworks by offering easy installation and integration. This has saved me a lot of setup time, reduced technical errors, and allowed me to focus more on coding, analysis, and model development instead of troubleshooting environments.
Effortless to Use and Hassle-Free
What do you like best about the product?
It´s easy to use and can use in many use cases
What do you dislike about the product?
for now all is ok and hardly recommend de platform it the company is focus on IA next year
What problems is the product solving and how is that benefiting you?
Main use using credit scoring models focus on lending credits
Has improved compliance workflows and reduced setup time with secure package management
What is our primary use case?
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.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been using Anaconda Business for the past one year.
What do I think about the stability of the solution?
Anaconda Business is stable in my experience.
What do I think about the scalability of the solution?
I rate Anaconda Business's scalability a nine.
How are customer service and support?
I would rate the customer support a seven. I have not had any experiences with Anaconda Business customer support.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
I did not previously use a different solution; this is the first one and we are using it from the beginning.
How was the initial setup?
My experience with pricing, setup cost, and licensing indicates that it is a bit costly, but it is useful.
What about the implementation team?
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.
What was our ROI?
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.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing indicates that it is a bit costly, but it is useful.
Which other solutions did I evaluate?
Before choosing Anaconda Business, we first thought about Docker.
What other advice do I have?
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.
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?
Makes Writing Production Code Convenient and Efficient
What do you like best about the product?
Helps me write big production code conveniently
What do you dislike about the product?
They dont have automatic version control feature
What problems is the product solving and how is that benefiting you?
Write codes faster
Anaconda AI Platform with a Steep Learning Curve
What do you like best about the product?
What I like best is how it brings everything (tools, security and collaboration) into one place so teams can build and deploy AI without the usual chaos.
What do you dislike about the product?
It’s powerful but that depth comes with a learning curve.
What problems is the product solving and how is that benefiting you?
Anaconda AI Platform is solving the headache of juggling too many tools, worrying about security risks, and struggling to get AI models from idea to production.
Anaconda AI: A Game-Changer for Data Projects
What do you like best about the product?
The Anaconda AI Platform enables AI development that is both effective and convenient. It can seamlessly integrate with machine learning frameworks that are popular with data scientists and enables streamlined setting-up and managing of complex data science projects, allowing users to focus more on developing models, rather than managing the underlying system configuration.
What do you dislike about the product?
I don't like that the Anaconda AI Platform can be overwhelming sometimes, especially to people who haven't used the software before. There is a lot of content to learn, and not everything feels very "intuitive." When working with large datasets, I find using the platform can be slower than I prefer, which can impact productivity.
What problems is the product solving and how is that benefiting you?
The Anaconda AI Platform addresses the challenge of managing dependencies and complex environments in data science and AI work. It integrates the different components I need in one platform to save me time and the hassle of getting everything set up. The software has been great when handling large datasets or training machine learning models since I do not have to think about the configuration of my system. It has helped me get my work in data science and AI arranged better to allow me to think more about building and testing models and less about managing technology.
