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.

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.

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.

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.

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.

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.

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

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

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

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.

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

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

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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

Anaconda Business is stable.

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

The customer support for Anaconda Business provides a better approach.

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

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

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

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

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.

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

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.

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.

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

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.

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

I have no experience with Anaconda's technical support.

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.

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.

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

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.

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.

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.

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.

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

I have been using Anaconda for four years.

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

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

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

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

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.

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.

I'd rate the solution nine out of ten.

I have been very enthusiastic about artificial intelligence and machine learning since my first year. I started learning Python in my first year and was using a MacBook with the M1 chip, which didn't have native Python support.

I discovered Anaconda, which developed Python for Mac, so I started using it for Python. Later, I realized its use cases in machine learning and data science.

The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda.

It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment.

However, there are many things in Anaconda that people need to be aware of, so it can be challenging.

A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area.

Maybe a graphical user interface where we can just input our dataset, and it will handle everything graphically and automatically, could improve Anaconda.

I have been using Anacondas since my second year in college. This year, in 2024, I just graduated with my computer science degree, so it's been about two or three years.

So, I have been using it for two to three years.

Everything new has some bugs, but it is quite stable for machine learning applications.

In my college, almost 70 to 80 percent of people used Anaconda.

I contacted the support when I was creating a hand gesture product, and some libraries were not working because of the Python version mismatch with the library version. So, I contacted Anaconda support, and they were helpful, replying within a day.

It is easy to install, set up, and deploy Anaconda.

Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks, which can be expensive. It works on all systems and is not subscription-based.

If you're into machine learning and data science, I would absolutely recommend it because it's essential for those fields. But if you're just exploring and learning Python, it might be too heavy for your computer.

However, if you're dedicated, I would recommend it.

Overall, I would rate the solution a ten out of ten because it has a lot of functionality available, supports many libraries, and the developers are continually improving it. It suits my needs best.

If I had to go back, I would use Anaconda again.

I use the tool for Jupyter Notebook.

The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.

Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring.

I have been using the product for five years.

Four to five developers use the product.

I haven't contacted the tool's support team for any help or questions. I primarily use it for one of its services, and I write my own code within that service, so I haven't felt the need to contact support.

The product is straightforward and self-explanatory. Users can easily follow the next steps provided and install it without much difficulty.

The tool is open-source.

Some basic tutorials can be found on YouTube, which can help you understand how Anaconda services work. Watching these tutorials can make it easier for someone to use the product. Using it for the first time can be considered at a medium difficulty level, neither too easy nor too difficult. The package management system has greatly improved my development process. I can easily install and incorporate any package I need into my work. I rate the overall product an eight out of ten.

Voice Configuration and Environmental Management Capabilities are the most valuable features.

If we want to do some big applications, then we need to install a lot of packages. It also takes up a lot of space.

I have been using Anaconda for six years.

It is a scalable solution.

The initial setup is straightforward. The deployment took twenty to thirty minutes.

Overall, I rate the solution a nine out of ten.