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.
A powerful and reliable platform for data science and AI development
What do you like best about the product?
Anaconda AI Platform provides a complete environment for managing data science and AI workflows. Its package management and environment handling are seamless, making it easy to install, update, and manage libraries without dependency conflicts. I especially value the large ecosystem of pre-built packages, Jupyter integration, and the ability to quickly prototype, test, and deploy models. It saves a lot of setup time and improves productivity, particularly for Python-based AI development.
What do you dislike about the product?
While Anaconda is excellent, it can sometimes feel heavy—especially in terms of storage space and environment size. Package downloads can be slow, and certain updates may break compatibility with older environments. The enterprise edition could also benefit from more streamlined integration with cloud platforms and better optimization for large-scale distributed workloads.
What problems is the product solving and how is that benefiting you?
Anaconda AI Platform solves the problem of environment and package management in AI and data science projects. It eliminates dependency conflicts and ensures that different projects can run in isolated environments without breaking each other. It also centralizes the toolchain for data science, allowing me to work with Jupyter notebooks, machine learning libraries, and visualization tools in one place. This has significantly improved productivity, reduced time spent on setup, and allowed me to focus on model development and analysis rather than troubleshooting environment issues.
Easiest sert up for environment and library
What do you like best about the product?
Easy to locate the library, files, and most importantly easily to set up environment for different software
What do you dislike about the product?
Slow. The process is kinda slow and the UI is a little bit old-fashion to my self. I love the UI more like apple-style not Microsoft-style
What problems is the product solving and how is that benefiting you?
Propaganda. I don’t know it yet.
Software engineer
What do you like best about the product?
Science packages for ai workflow and stuff
What do you dislike about the product?
Images on docker when I download to share issues
What problems is the product solving and how is that benefiting you?
Science packages in 1 place
A good platform. Using a secure platform for DS needs is a good to have
What do you like best about the product?
A platform to use packages securely. We use 30 seats
What do you dislike about the product?
A bit confused about using free version vs enterprise version
What problems is the product solving and how is that benefiting you?
Confused about free vs enterprise versions
Open source platform empowers seamless integration and efficient package management
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?
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.
A great tool for python and for libraries like panda, numpy
What do you like best about the product?
I like that we can create environments in it based on our requirements. Recently, I used Anaconda to build a dashboard with Python, pandas, and Streamlit. Pandas helped me to analyze the data, and Streamlit helped me create an interactive dashboard.
What do you dislike about the product?
No negative/dislike about this product, I haven't faced any problem yet
What problems is the product solving and how is that benefiting you?
Easy to integrate anaconda environments to VS code and we can use jupitor notebook as well to write programs.
Very good management of IDE's
What do you like best about the product?
Preloaded lib, support for multiple languages and env, support for extended lib and simple integration of various tools, makes it must have.
What do you dislike about the product?
When required more customized features, It becomes short and sometimes inflexible
What problems is the product solving and how is that benefiting you?
Its pretty much our go to for managing projects in our company and handles pacakges and track dependencies and helps us too
