Sign in Agent Mode
Categories
Your Saved List Become a Channel Partner Sell in AWS Marketplace Amazon Web Services Home Help

Reviews from AWS customer

5 AWS reviews

External reviews

250 reviews
from and

External reviews are not included in the AWS star rating for the product.


    Pushkar D.

It has simpleInterface but complex for developers end

  • April 03, 2025
  • Review provided by G2

What do you like best about the product?
It’s open-source distribution for programming language like Payton & R
What do you dislike about the product?
It should have some AI integrated feature (plug-in) which will be helpful for developers.
What problems is the product solving and how is that benefiting you?
My client do have complex dependency on Python & R. My role being an administrator, I use conda package which i use for updating, installation or patch update/upgrade.


    Internet

Review for Annaconda

  • April 01, 2025
  • Review provided by G2

What do you like best about the product?
The environment setup and packagement is effortless for the new coders like me. In Anaconda you will get thousands of packages as well tools like Jupiter notebook to do your coding.
What do you dislike about the product?
Everything is running smoothly till now.
What problems is the product solving and how is that benefiting you?
I can easily do my python coding


    AKSHAY CHOPRA 2.

Anaconda is smooth, especailly with a mac

  • March 27, 2025
  • Review provided by G2

What do you like best about the product?
It helps me code on jupyter notebook, which is very easy to use
What do you dislike about the product?
No automatic backup. can result in losing of data if not backed up properly
What problems is the product solving and how is that benefiting you?
It helps me code on python. i primarily work on projects as i am a inetrested in the field of machine learning.


    Yashasvi Y.

Best sourcing platform

  • March 26, 2025
  • Review provided by G2

What do you like best about the product?
Data analysis made easy, UI navigation is easy
What do you dislike about the product?
I did not encounter such case as of now.
What problems is the product solving and how is that benefiting you?
Data Segregation


    Leonardo S.

One place for my dev shop

  • March 25, 2025
  • Review provided by G2

What do you like best about the product?
It provides the best features for Python development, along with the best packages
What do you dislike about the product?
Nothing major to dislike at this point. If O have to mention something, the large size.
What problems is the product solving and how is that benefiting you?
Online notebook


    arjun g.

Using anaconda as machine learning beginner

  • February 21, 2025
  • Review provided by G2

What do you like best about the product?
I work as a machine learning developer and also as a data scientist. I have installed Anaconda due to it's huge library support. The software has been leading the industry for the last few years, and it has a vast community which makes the customer support very simple and fast. I use it every day. For instance, you may have different product at a single place, which I keep on using Anaconda. Amongst many tools, I do decide on it due to answer that I can see in the documentation.
What do you dislike about the product?
The anaconda software is also very heavy and big in size. This program consumes a lot of memory to be operated. Certainly 8GB RAM is required to make this function and even in that case it will feel sluggish while working with some libraries
What problems is the product solving and how is that benefiting you?
The software enables software dependencies management so that I can put all my efforts towards coding. Besides, the inbuilt library support software for machine learning (ml) and data science is outstanding, thus, no additional installation of the dependencies is needed. The integrated ai also assists in code generation and debugging. I am really delighted with the idea that all the essential software can be found in one place for my development.


    IshtiaqueAli

Unified platform for efficient coding and machine learning

  • September 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.


    Manish S.

Best Open Source Tool

  • June 12, 2024
  • Review provided by G2

What do you like best about the product?
It's easy to install and beginner freindly which makes it the best tool. Its upside is that it has multiple tools inside and my favourite is jupyter notebook.
What do you dislike about the product?
I don't believe it has any advantages but it takes time to open.
What problems is the product solving and how is that benefiting you?
I used anaconda to create an algorythm to find out the best way to ensure the quality of admissions using decision tree in jupyter notebook.


    Information Technology and Services

Anaconda “the bundle”

  • June 08, 2024
  • Review provided by G2

What do you like best about the product?
Anaconda installer comes along with a group of software's like spyder , Jupyter notebook , Jupyter labs , R studio and etc
What do you dislike about the product?
Anaconda is actually good software but the dislike is it has some unwanted software's too which make its size bigger
What problems is the product solving and how is that benefiting you?
We can use it for python , data science , machine learning , Ai integrations , API integrations , data. Visualisation , etc


    Rohan Sharma

Provides all the frameworks and makes it easy to create environments for multiple projects

  • May 09, 2024
  • Review provided by PeerSpot

What is our primary use case?

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.

What is most valuable?

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.

What needs improvement?

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.

For how long have I used the solution?

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.

What do I think about the stability of the solution?

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

What do I think about the scalability of the solution?

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

How are customer service and support?

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.

How would you rate customer service and support?

Positive

How was the initial setup?

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

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

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.

What other advice do I have?

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.